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- found 1 files
- got prompt
- model weight dtype torch.float8_e4m3fn, manual cast: torch.bfloat16
- model_type FLUX
- adm 0
- Using pytorch attention in VAE
- Working with z of shape (1, 16, 32, 32) = 16384 dimensions.
- Using pytorch attention in VAE
- Model doesn't have a device attribute.
- VAE load device: cuda:0, offload device: cpu, dtype: torch.bfloat16
- Model doesn't have a device attribute.
- Requested to load FluxClipModel_
- Loading 1 new model
- lowvram: loaded module regularly t5xxl.transformer.shared Embedding(32128, 4096)
- lowvram: loaded module regularly clip_l.transformer.text_model.embeddings.token_embedding Embedding(49408, 768)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.9.layer.1.DenseReluDense.wo Linear(in_features=10240, out_features=4096, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.9.layer.1.DenseReluDense.wi_1 Linear(in_features=4096, out_features=10240, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.9.layer.1.DenseReluDense.wi_0 Linear(in_features=4096, out_features=10240, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.8.layer.1.DenseReluDense.wo Linear(in_features=10240, out_features=4096, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.8.layer.1.DenseReluDense.wi_1 Linear(in_features=4096, out_features=10240, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.8.layer.1.DenseReluDense.wi_0 Linear(in_features=4096, out_features=10240, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.7.layer.1.DenseReluDense.wo Linear(in_features=10240, out_features=4096, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.7.layer.1.DenseReluDense.wi_1 Linear(in_features=4096, out_features=10240, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.7.layer.1.DenseReluDense.wi_0 Linear(in_features=4096, out_features=10240, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.6.layer.1.DenseReluDense.wo Linear(in_features=10240, out_features=4096, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.6.layer.1.DenseReluDense.wi_1 Linear(in_features=4096, out_features=10240, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.6.layer.1.DenseReluDense.wi_0 Linear(in_features=4096, out_features=10240, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.5.layer.1.DenseReluDense.wo Linear(in_features=10240, out_features=4096, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.5.layer.1.DenseReluDense.wi_1 Linear(in_features=4096, out_features=10240, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.5.layer.1.DenseReluDense.wi_0 Linear(in_features=4096, out_features=10240, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.4.layer.1.DenseReluDense.wo Linear(in_features=10240, out_features=4096, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.4.layer.1.DenseReluDense.wi_1 Linear(in_features=4096, out_features=10240, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.4.layer.1.DenseReluDense.wi_0 Linear(in_features=4096, out_features=10240, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.3.layer.1.DenseReluDense.wo Linear(in_features=10240, out_features=4096, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.3.layer.1.DenseReluDense.wi_1 Linear(in_features=4096, out_features=10240, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.3.layer.1.DenseReluDense.wi_0 Linear(in_features=4096, out_features=10240, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.23.layer.1.DenseReluDense.wo Linear(in_features=10240, out_features=4096, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.23.layer.1.DenseReluDense.wi_1 Linear(in_features=4096, out_features=10240, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.23.layer.1.DenseReluDense.wi_0 Linear(in_features=4096, out_features=10240, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.22.layer.1.DenseReluDense.wo Linear(in_features=10240, out_features=4096, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.22.layer.1.DenseReluDense.wi_1 Linear(in_features=4096, out_features=10240, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.22.layer.1.DenseReluDense.wi_0 Linear(in_features=4096, out_features=10240, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.21.layer.1.DenseReluDense.wo Linear(in_features=10240, out_features=4096, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.21.layer.1.DenseReluDense.wi_1 Linear(in_features=4096, out_features=10240, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.21.layer.1.DenseReluDense.wi_0 Linear(in_features=4096, out_features=10240, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.20.layer.1.DenseReluDense.wo Linear(in_features=10240, out_features=4096, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.20.layer.1.DenseReluDense.wi_1 Linear(in_features=4096, out_features=10240, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.20.layer.1.DenseReluDense.wi_0 Linear(in_features=4096, out_features=10240, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.2.layer.1.DenseReluDense.wo Linear(in_features=10240, out_features=4096, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.2.layer.1.DenseReluDense.wi_1 Linear(in_features=4096, out_features=10240, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.2.layer.1.DenseReluDense.wi_0 Linear(in_features=4096, out_features=10240, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.19.layer.1.DenseReluDense.wo Linear(in_features=10240, out_features=4096, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.19.layer.1.DenseReluDense.wi_1 Linear(in_features=4096, out_features=10240, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.19.layer.1.DenseReluDense.wi_0 Linear(in_features=4096, out_features=10240, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.18.layer.1.DenseReluDense.wo Linear(in_features=10240, out_features=4096, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.18.layer.1.DenseReluDense.wi_1 Linear(in_features=4096, out_features=10240, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.18.layer.1.DenseReluDense.wi_0 Linear(in_features=4096, out_features=10240, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.17.layer.1.DenseReluDense.wo Linear(in_features=10240, out_features=4096, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.17.layer.1.DenseReluDense.wi_1 Linear(in_features=4096, out_features=10240, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.17.layer.1.DenseReluDense.wi_0 Linear(in_features=4096, out_features=10240, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.16.layer.1.DenseReluDense.wo Linear(in_features=10240, out_features=4096, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.16.layer.1.DenseReluDense.wi_1 Linear(in_features=4096, out_features=10240, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.16.layer.1.DenseReluDense.wi_0 Linear(in_features=4096, out_features=10240, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.15.layer.1.DenseReluDense.wo Linear(in_features=10240, out_features=4096, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.15.layer.1.DenseReluDense.wi_1 Linear(in_features=4096, out_features=10240, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.15.layer.1.DenseReluDense.wi_0 Linear(in_features=4096, out_features=10240, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.14.layer.1.DenseReluDense.wo Linear(in_features=10240, out_features=4096, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.14.layer.1.DenseReluDense.wi_1 Linear(in_features=4096, out_features=10240, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.14.layer.1.DenseReluDense.wi_0 Linear(in_features=4096, out_features=10240, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.13.layer.1.DenseReluDense.wo Linear(in_features=10240, out_features=4096, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.13.layer.1.DenseReluDense.wi_1 Linear(in_features=4096, out_features=10240, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.13.layer.1.DenseReluDense.wi_0 Linear(in_features=4096, out_features=10240, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.12.layer.1.DenseReluDense.wo Linear(in_features=10240, out_features=4096, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.12.layer.1.DenseReluDense.wi_1 Linear(in_features=4096, out_features=10240, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.12.layer.1.DenseReluDense.wi_0 Linear(in_features=4096, out_features=10240, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.11.layer.1.DenseReluDense.wo Linear(in_features=10240, out_features=4096, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.11.layer.1.DenseReluDense.wi_1 Linear(in_features=4096, out_features=10240, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.11.layer.1.DenseReluDense.wi_0 Linear(in_features=4096, out_features=10240, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.10.layer.1.DenseReluDense.wo Linear(in_features=10240, out_features=4096, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.10.layer.1.DenseReluDense.wi_1 Linear(in_features=4096, out_features=10240, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.10.layer.1.DenseReluDense.wi_0 Linear(in_features=4096, out_features=10240, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.1.layer.1.DenseReluDense.wo Linear(in_features=10240, out_features=4096, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.1.layer.1.DenseReluDense.wi_1 Linear(in_features=4096, out_features=10240, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.1.layer.1.DenseReluDense.wi_0 Linear(in_features=4096, out_features=10240, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.0.layer.1.DenseReluDense.wo Linear(in_features=10240, out_features=4096, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.0.layer.1.DenseReluDense.wi_1 Linear(in_features=4096, out_features=10240, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.0.layer.1.DenseReluDense.wi_0 Linear(in_features=4096, out_features=10240, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.9.layer.0.SelfAttention.v Linear(in_features=4096, out_features=4096, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.9.layer.0.SelfAttention.q Linear(in_features=4096, out_features=4096, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.9.layer.0.SelfAttention.o Linear(in_features=4096, out_features=4096, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.9.layer.0.SelfAttention.k Linear(in_features=4096, out_features=4096, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.8.layer.0.SelfAttention.v Linear(in_features=4096, out_features=4096, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.8.layer.0.SelfAttention.q Linear(in_features=4096, out_features=4096, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.8.layer.0.SelfAttention.o Linear(in_features=4096, out_features=4096, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.8.layer.0.SelfAttention.k Linear(in_features=4096, out_features=4096, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.7.layer.0.SelfAttention.v Linear(in_features=4096, out_features=4096, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.7.layer.0.SelfAttention.q Linear(in_features=4096, out_features=4096, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.7.layer.0.SelfAttention.o Linear(in_features=4096, out_features=4096, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.7.layer.0.SelfAttention.k Linear(in_features=4096, out_features=4096, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.6.layer.0.SelfAttention.v Linear(in_features=4096, out_features=4096, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.6.layer.0.SelfAttention.q Linear(in_features=4096, out_features=4096, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.6.layer.0.SelfAttention.o Linear(in_features=4096, out_features=4096, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.6.layer.0.SelfAttention.k Linear(in_features=4096, out_features=4096, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.5.layer.0.SelfAttention.v Linear(in_features=4096, out_features=4096, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.5.layer.0.SelfAttention.q Linear(in_features=4096, out_features=4096, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.5.layer.0.SelfAttention.o Linear(in_features=4096, out_features=4096, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.5.layer.0.SelfAttention.k Linear(in_features=4096, out_features=4096, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.4.layer.0.SelfAttention.v Linear(in_features=4096, out_features=4096, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.4.layer.0.SelfAttention.q Linear(in_features=4096, out_features=4096, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.4.layer.0.SelfAttention.o Linear(in_features=4096, out_features=4096, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.4.layer.0.SelfAttention.k Linear(in_features=4096, out_features=4096, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.3.layer.0.SelfAttention.v Linear(in_features=4096, out_features=4096, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.3.layer.0.SelfAttention.q Linear(in_features=4096, out_features=4096, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.3.layer.0.SelfAttention.o Linear(in_features=4096, out_features=4096, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.3.layer.0.SelfAttention.k Linear(in_features=4096, out_features=4096, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.23.layer.0.SelfAttention.v Linear(in_features=4096, out_features=4096, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.23.layer.0.SelfAttention.q Linear(in_features=4096, out_features=4096, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.23.layer.0.SelfAttention.o Linear(in_features=4096, out_features=4096, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.23.layer.0.SelfAttention.k Linear(in_features=4096, out_features=4096, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.22.layer.0.SelfAttention.v Linear(in_features=4096, out_features=4096, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.22.layer.0.SelfAttention.q Linear(in_features=4096, out_features=4096, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.22.layer.0.SelfAttention.o Linear(in_features=4096, out_features=4096, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.22.layer.0.SelfAttention.k Linear(in_features=4096, out_features=4096, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.21.layer.0.SelfAttention.v Linear(in_features=4096, out_features=4096, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.21.layer.0.SelfAttention.q Linear(in_features=4096, out_features=4096, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.21.layer.0.SelfAttention.o Linear(in_features=4096, out_features=4096, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.21.layer.0.SelfAttention.k Linear(in_features=4096, out_features=4096, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.20.layer.0.SelfAttention.v Linear(in_features=4096, out_features=4096, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.20.layer.0.SelfAttention.q Linear(in_features=4096, out_features=4096, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.20.layer.0.SelfAttention.o Linear(in_features=4096, out_features=4096, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.20.layer.0.SelfAttention.k Linear(in_features=4096, out_features=4096, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.2.layer.0.SelfAttention.v Linear(in_features=4096, out_features=4096, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.2.layer.0.SelfAttention.q Linear(in_features=4096, out_features=4096, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.2.layer.0.SelfAttention.o Linear(in_features=4096, out_features=4096, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.2.layer.0.SelfAttention.k Linear(in_features=4096, out_features=4096, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.19.layer.0.SelfAttention.v Linear(in_features=4096, out_features=4096, bias=False)
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- lowvram: loaded module regularly t5xxl.transformer.encoder.block.16.layer.0.SelfAttention.k Linear(in_features=4096, out_features=4096, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.15.layer.0.SelfAttention.v Linear(in_features=4096, out_features=4096, bias=False)
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- lowvram: loaded module regularly t5xxl.transformer.encoder.block.15.layer.0.SelfAttention.o Linear(in_features=4096, out_features=4096, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.15.layer.0.SelfAttention.k Linear(in_features=4096, out_features=4096, bias=False)
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- lowvram: loaded module regularly t5xxl.transformer.encoder.block.14.layer.0.SelfAttention.q Linear(in_features=4096, out_features=4096, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.14.layer.0.SelfAttention.o Linear(in_features=4096, out_features=4096, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.14.layer.0.SelfAttention.k Linear(in_features=4096, out_features=4096, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.13.layer.0.SelfAttention.v Linear(in_features=4096, out_features=4096, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.13.layer.0.SelfAttention.q Linear(in_features=4096, out_features=4096, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.13.layer.0.SelfAttention.o Linear(in_features=4096, out_features=4096, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.13.layer.0.SelfAttention.k Linear(in_features=4096, out_features=4096, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.12.layer.0.SelfAttention.v Linear(in_features=4096, out_features=4096, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.12.layer.0.SelfAttention.q Linear(in_features=4096, out_features=4096, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.12.layer.0.SelfAttention.o Linear(in_features=4096, out_features=4096, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.12.layer.0.SelfAttention.k Linear(in_features=4096, out_features=4096, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.11.layer.0.SelfAttention.v Linear(in_features=4096, out_features=4096, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.11.layer.0.SelfAttention.q Linear(in_features=4096, out_features=4096, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.11.layer.0.SelfAttention.o Linear(in_features=4096, out_features=4096, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.11.layer.0.SelfAttention.k Linear(in_features=4096, out_features=4096, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.10.layer.0.SelfAttention.v Linear(in_features=4096, out_features=4096, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.10.layer.0.SelfAttention.q Linear(in_features=4096, out_features=4096, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.10.layer.0.SelfAttention.o Linear(in_features=4096, out_features=4096, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.10.layer.0.SelfAttention.k Linear(in_features=4096, out_features=4096, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.1.layer.0.SelfAttention.v Linear(in_features=4096, out_features=4096, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.1.layer.0.SelfAttention.q Linear(in_features=4096, out_features=4096, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.1.layer.0.SelfAttention.o Linear(in_features=4096, out_features=4096, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.1.layer.0.SelfAttention.k Linear(in_features=4096, out_features=4096, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.0.layer.0.SelfAttention.v Linear(in_features=4096, out_features=4096, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.0.layer.0.SelfAttention.q Linear(in_features=4096, out_features=4096, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.0.layer.0.SelfAttention.o Linear(in_features=4096, out_features=4096, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.0.layer.0.SelfAttention.k Linear(in_features=4096, out_features=4096, bias=False)
- lowvram: loaded module regularly clip_l.transformer.text_model.encoder.layers.9.mlp.fc1 Linear(in_features=768, out_features=3072, bias=True)
- lowvram: loaded module regularly clip_l.transformer.text_model.encoder.layers.8.mlp.fc1 Linear(in_features=768, out_features=3072, bias=True)
- lowvram: loaded module regularly clip_l.transformer.text_model.encoder.layers.7.mlp.fc1 Linear(in_features=768, out_features=3072, bias=True)
- lowvram: loaded module regularly clip_l.transformer.text_model.encoder.layers.6.mlp.fc1 Linear(in_features=768, out_features=3072, bias=True)
- lowvram: loaded module regularly clip_l.transformer.text_model.encoder.layers.5.mlp.fc1 Linear(in_features=768, out_features=3072, bias=True)
- lowvram: loaded module regularly clip_l.transformer.text_model.encoder.layers.4.mlp.fc1 Linear(in_features=768, out_features=3072, bias=True)
- lowvram: loaded module regularly clip_l.transformer.text_model.encoder.layers.3.mlp.fc1 Linear(in_features=768, out_features=3072, bias=True)
- lowvram: loaded module regularly clip_l.transformer.text_model.encoder.layers.2.mlp.fc1 Linear(in_features=768, out_features=3072, bias=True)
- lowvram: loaded module regularly clip_l.transformer.text_model.encoder.layers.11.mlp.fc1 Linear(in_features=768, out_features=3072, bias=True)
- lowvram: loaded module regularly clip_l.transformer.text_model.encoder.layers.10.mlp.fc1 Linear(in_features=768, out_features=3072, bias=True)
- lowvram: loaded module regularly clip_l.transformer.text_model.encoder.layers.1.mlp.fc1 Linear(in_features=768, out_features=3072, bias=True)
- lowvram: loaded module regularly clip_l.transformer.text_model.encoder.layers.0.mlp.fc1 Linear(in_features=768, out_features=3072, bias=True)
- lowvram: loaded module regularly clip_l.transformer.text_model.encoder.layers.9.mlp.fc2 Linear(in_features=3072, out_features=768, bias=True)
- lowvram: loaded module regularly clip_l.transformer.text_model.encoder.layers.8.mlp.fc2 Linear(in_features=3072, out_features=768, bias=True)
- lowvram: loaded module regularly clip_l.transformer.text_model.encoder.layers.7.mlp.fc2 Linear(in_features=3072, out_features=768, bias=True)
- lowvram: loaded module regularly clip_l.transformer.text_model.encoder.layers.6.mlp.fc2 Linear(in_features=3072, out_features=768, bias=True)
- lowvram: loaded module regularly clip_l.transformer.text_model.encoder.layers.5.mlp.fc2 Linear(in_features=3072, out_features=768, bias=True)
- lowvram: loaded module regularly clip_l.transformer.text_model.encoder.layers.4.mlp.fc2 Linear(in_features=3072, out_features=768, bias=True)
- lowvram: loaded module regularly clip_l.transformer.text_model.encoder.layers.3.mlp.fc2 Linear(in_features=3072, out_features=768, bias=True)
- lowvram: loaded module regularly clip_l.transformer.text_model.encoder.layers.2.mlp.fc2 Linear(in_features=3072, out_features=768, bias=True)
- lowvram: loaded module regularly clip_l.transformer.text_model.encoder.layers.11.mlp.fc2 Linear(in_features=3072, out_features=768, bias=True)
- lowvram: loaded module regularly clip_l.transformer.text_model.encoder.layers.10.mlp.fc2 Linear(in_features=3072, out_features=768, bias=True)
- lowvram: loaded module regularly clip_l.transformer.text_model.encoder.layers.1.mlp.fc2 Linear(in_features=3072, out_features=768, bias=True)
- lowvram: loaded module regularly clip_l.transformer.text_model.encoder.layers.0.mlp.fc2 Linear(in_features=3072, out_features=768, bias=True)
- lowvram: loaded module regularly clip_l.transformer.text_model.encoder.layers.9.self_attn.v_proj Linear(in_features=768, out_features=768, bias=True)
- lowvram: loaded module regularly clip_l.transformer.text_model.encoder.layers.9.self_attn.q_proj Linear(in_features=768, out_features=768, bias=True)
- lowvram: loaded module regularly clip_l.transformer.text_model.encoder.layers.9.self_attn.out_proj Linear(in_features=768, out_features=768, bias=True)
- lowvram: loaded module regularly clip_l.transformer.text_model.encoder.layers.9.self_attn.k_proj Linear(in_features=768, out_features=768, bias=True)
- lowvram: loaded module regularly clip_l.transformer.text_model.encoder.layers.8.self_attn.v_proj Linear(in_features=768, out_features=768, bias=True)
- lowvram: loaded module regularly clip_l.transformer.text_model.encoder.layers.8.self_attn.q_proj Linear(in_features=768, out_features=768, bias=True)
- lowvram: loaded module regularly clip_l.transformer.text_model.encoder.layers.8.self_attn.out_proj Linear(in_features=768, out_features=768, bias=True)
- lowvram: loaded module regularly clip_l.transformer.text_model.encoder.layers.8.self_attn.k_proj Linear(in_features=768, out_features=768, bias=True)
- lowvram: loaded module regularly clip_l.transformer.text_model.encoder.layers.7.self_attn.v_proj Linear(in_features=768, out_features=768, bias=True)
- lowvram: loaded module regularly clip_l.transformer.text_model.encoder.layers.7.self_attn.q_proj Linear(in_features=768, out_features=768, bias=True)
- lowvram: loaded module regularly clip_l.transformer.text_model.encoder.layers.7.self_attn.out_proj Linear(in_features=768, out_features=768, bias=True)
- lowvram: loaded module regularly clip_l.transformer.text_model.encoder.layers.7.self_attn.k_proj Linear(in_features=768, out_features=768, bias=True)
- lowvram: loaded module regularly clip_l.transformer.text_model.encoder.layers.6.self_attn.v_proj Linear(in_features=768, out_features=768, bias=True)
- lowvram: loaded module regularly clip_l.transformer.text_model.encoder.layers.6.self_attn.q_proj Linear(in_features=768, out_features=768, bias=True)
- lowvram: loaded module regularly clip_l.transformer.text_model.encoder.layers.6.self_attn.out_proj Linear(in_features=768, out_features=768, bias=True)
- lowvram: loaded module regularly clip_l.transformer.text_model.encoder.layers.6.self_attn.k_proj Linear(in_features=768, out_features=768, bias=True)
- lowvram: loaded module regularly clip_l.transformer.text_model.encoder.layers.5.self_attn.v_proj Linear(in_features=768, out_features=768, bias=True)
- lowvram: loaded module regularly clip_l.transformer.text_model.encoder.layers.5.self_attn.q_proj Linear(in_features=768, out_features=768, bias=True)
- lowvram: loaded module regularly clip_l.transformer.text_model.encoder.layers.5.self_attn.out_proj Linear(in_features=768, out_features=768, bias=True)
- lowvram: loaded module regularly clip_l.transformer.text_model.encoder.layers.5.self_attn.k_proj Linear(in_features=768, out_features=768, bias=True)
- lowvram: loaded module regularly clip_l.transformer.text_model.encoder.layers.4.self_attn.v_proj Linear(in_features=768, out_features=768, bias=True)
- lowvram: loaded module regularly clip_l.transformer.text_model.encoder.layers.4.self_attn.q_proj Linear(in_features=768, out_features=768, bias=True)
- lowvram: loaded module regularly clip_l.transformer.text_model.encoder.layers.4.self_attn.out_proj Linear(in_features=768, out_features=768, bias=True)
- lowvram: loaded module regularly clip_l.transformer.text_model.encoder.layers.4.self_attn.k_proj Linear(in_features=768, out_features=768, bias=True)
- lowvram: loaded module regularly clip_l.transformer.text_model.encoder.layers.3.self_attn.v_proj Linear(in_features=768, out_features=768, bias=True)
- lowvram: loaded module regularly clip_l.transformer.text_model.encoder.layers.3.self_attn.q_proj Linear(in_features=768, out_features=768, bias=True)
- lowvram: loaded module regularly clip_l.transformer.text_model.encoder.layers.3.self_attn.out_proj Linear(in_features=768, out_features=768, bias=True)
- lowvram: loaded module regularly clip_l.transformer.text_model.encoder.layers.3.self_attn.k_proj Linear(in_features=768, out_features=768, bias=True)
- lowvram: loaded module regularly clip_l.transformer.text_model.encoder.layers.2.self_attn.v_proj Linear(in_features=768, out_features=768, bias=True)
- lowvram: loaded module regularly clip_l.transformer.text_model.encoder.layers.2.self_attn.q_proj Linear(in_features=768, out_features=768, bias=True)
- lowvram: loaded module regularly clip_l.transformer.text_model.encoder.layers.2.self_attn.out_proj Linear(in_features=768, out_features=768, bias=True)
- lowvram: loaded module regularly clip_l.transformer.text_model.encoder.layers.2.self_attn.k_proj Linear(in_features=768, out_features=768, bias=True)
- lowvram: loaded module regularly clip_l.transformer.text_model.encoder.layers.11.self_attn.v_proj Linear(in_features=768, out_features=768, bias=True)
- lowvram: loaded module regularly clip_l.transformer.text_model.encoder.layers.11.self_attn.q_proj Linear(in_features=768, out_features=768, bias=True)
- lowvram: loaded module regularly clip_l.transformer.text_model.encoder.layers.11.self_attn.out_proj Linear(in_features=768, out_features=768, bias=True)
- lowvram: loaded module regularly clip_l.transformer.text_model.encoder.layers.11.self_attn.k_proj Linear(in_features=768, out_features=768, bias=True)
- lowvram: loaded module regularly clip_l.transformer.text_model.encoder.layers.10.self_attn.v_proj Linear(in_features=768, out_features=768, bias=True)
- lowvram: loaded module regularly clip_l.transformer.text_model.encoder.layers.10.self_attn.q_proj Linear(in_features=768, out_features=768, bias=True)
- lowvram: loaded module regularly clip_l.transformer.text_model.encoder.layers.10.self_attn.out_proj Linear(in_features=768, out_features=768, bias=True)
- lowvram: loaded module regularly clip_l.transformer.text_model.encoder.layers.10.self_attn.k_proj Linear(in_features=768, out_features=768, bias=True)
- lowvram: loaded module regularly clip_l.transformer.text_model.encoder.layers.1.self_attn.v_proj Linear(in_features=768, out_features=768, bias=True)
- lowvram: loaded module regularly clip_l.transformer.text_model.encoder.layers.1.self_attn.q_proj Linear(in_features=768, out_features=768, bias=True)
- lowvram: loaded module regularly clip_l.transformer.text_model.encoder.layers.1.self_attn.out_proj Linear(in_features=768, out_features=768, bias=True)
- lowvram: loaded module regularly clip_l.transformer.text_model.encoder.layers.1.self_attn.k_proj Linear(in_features=768, out_features=768, bias=True)
- lowvram: loaded module regularly clip_l.transformer.text_model.encoder.layers.0.self_attn.v_proj Linear(in_features=768, out_features=768, bias=True)
- lowvram: loaded module regularly clip_l.transformer.text_model.encoder.layers.0.self_attn.q_proj Linear(in_features=768, out_features=768, bias=True)
- lowvram: loaded module regularly clip_l.transformer.text_model.encoder.layers.0.self_attn.out_proj Linear(in_features=768, out_features=768, bias=True)
- lowvram: loaded module regularly clip_l.transformer.text_model.encoder.layers.0.self_attn.k_proj Linear(in_features=768, out_features=768, bias=True)
- lowvram: loaded module regularly clip_l.transformer.text_projection Linear(in_features=768, out_features=768, bias=False)
- lowvram: loaded module regularly clip_l.transformer.text_model.embeddings.position_embedding Embedding(77, 768)
- lowvram: loaded module regularly t5xxl.transformer.encoder.final_layer_norm T5LayerNorm()
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.9.layer.1.layer_norm T5LayerNorm()
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.9.layer.0.layer_norm T5LayerNorm()
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.8.layer.1.layer_norm T5LayerNorm()
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.8.layer.0.layer_norm T5LayerNorm()
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.7.layer.1.layer_norm T5LayerNorm()
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.7.layer.0.layer_norm T5LayerNorm()
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.6.layer.1.layer_norm T5LayerNorm()
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.6.layer.0.layer_norm T5LayerNorm()
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.5.layer.1.layer_norm T5LayerNorm()
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.5.layer.0.layer_norm T5LayerNorm()
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.4.layer.1.layer_norm T5LayerNorm()
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.4.layer.0.layer_norm T5LayerNorm()
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.3.layer.1.layer_norm T5LayerNorm()
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.3.layer.0.layer_norm T5LayerNorm()
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.23.layer.1.layer_norm T5LayerNorm()
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.23.layer.0.layer_norm T5LayerNorm()
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.22.layer.1.layer_norm T5LayerNorm()
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.22.layer.0.layer_norm T5LayerNorm()
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.21.layer.1.layer_norm T5LayerNorm()
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.21.layer.0.layer_norm T5LayerNorm()
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.20.layer.1.layer_norm T5LayerNorm()
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.20.layer.0.layer_norm T5LayerNorm()
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.2.layer.1.layer_norm T5LayerNorm()
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.2.layer.0.layer_norm T5LayerNorm()
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.19.layer.1.layer_norm T5LayerNorm()
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.19.layer.0.layer_norm T5LayerNorm()
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.18.layer.1.layer_norm T5LayerNorm()
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.18.layer.0.layer_norm T5LayerNorm()
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.17.layer.1.layer_norm T5LayerNorm()
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.17.layer.0.layer_norm T5LayerNorm()
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.16.layer.1.layer_norm T5LayerNorm()
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.16.layer.0.layer_norm T5LayerNorm()
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.15.layer.1.layer_norm T5LayerNorm()
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.15.layer.0.layer_norm T5LayerNorm()
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.14.layer.1.layer_norm T5LayerNorm()
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.14.layer.0.layer_norm T5LayerNorm()
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.13.layer.1.layer_norm T5LayerNorm()
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.13.layer.0.layer_norm T5LayerNorm()
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.12.layer.1.layer_norm T5LayerNorm()
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.12.layer.0.layer_norm T5LayerNorm()
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.11.layer.1.layer_norm T5LayerNorm()
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.11.layer.0.layer_norm T5LayerNorm()
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.10.layer.1.layer_norm T5LayerNorm()
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.10.layer.0.layer_norm T5LayerNorm()
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.1.layer.1.layer_norm T5LayerNorm()
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.1.layer.0.layer_norm T5LayerNorm()
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.0.layer.1.layer_norm T5LayerNorm()
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.0.layer.0.layer_norm T5LayerNorm()
- lowvram: loaded module regularly clip_l.transformer.text_model.final_layer_norm LayerNorm((768,), eps=1e-05, elementwise_affine=True)
- lowvram: loaded module regularly clip_l.transformer.text_model.encoder.layers.9.layer_norm2 LayerNorm((768,), eps=1e-05, elementwise_affine=True)
- lowvram: loaded module regularly clip_l.transformer.text_model.encoder.layers.9.layer_norm1 LayerNorm((768,), eps=1e-05, elementwise_affine=True)
- lowvram: loaded module regularly clip_l.transformer.text_model.encoder.layers.8.layer_norm2 LayerNorm((768,), eps=1e-05, elementwise_affine=True)
- lowvram: loaded module regularly clip_l.transformer.text_model.encoder.layers.8.layer_norm1 LayerNorm((768,), eps=1e-05, elementwise_affine=True)
- lowvram: loaded module regularly clip_l.transformer.text_model.encoder.layers.7.layer_norm2 LayerNorm((768,), eps=1e-05, elementwise_affine=True)
- lowvram: loaded module regularly clip_l.transformer.text_model.encoder.layers.7.layer_norm1 LayerNorm((768,), eps=1e-05, elementwise_affine=True)
- lowvram: loaded module regularly clip_l.transformer.text_model.encoder.layers.6.layer_norm2 LayerNorm((768,), eps=1e-05, elementwise_affine=True)
- lowvram: loaded module regularly clip_l.transformer.text_model.encoder.layers.6.layer_norm1 LayerNorm((768,), eps=1e-05, elementwise_affine=True)
- lowvram: loaded module regularly clip_l.transformer.text_model.encoder.layers.5.layer_norm2 LayerNorm((768,), eps=1e-05, elementwise_affine=True)
- lowvram: loaded module regularly clip_l.transformer.text_model.encoder.layers.5.layer_norm1 LayerNorm((768,), eps=1e-05, elementwise_affine=True)
- lowvram: loaded module regularly clip_l.transformer.text_model.encoder.layers.4.layer_norm2 LayerNorm((768,), eps=1e-05, elementwise_affine=True)
- lowvram: loaded module regularly clip_l.transformer.text_model.encoder.layers.4.layer_norm1 LayerNorm((768,), eps=1e-05, elementwise_affine=True)
- lowvram: loaded module regularly clip_l.transformer.text_model.encoder.layers.3.layer_norm2 LayerNorm((768,), eps=1e-05, elementwise_affine=True)
- lowvram: loaded module regularly clip_l.transformer.text_model.encoder.layers.3.layer_norm1 LayerNorm((768,), eps=1e-05, elementwise_affine=True)
- lowvram: loaded module regularly clip_l.transformer.text_model.encoder.layers.2.layer_norm2 LayerNorm((768,), eps=1e-05, elementwise_affine=True)
- lowvram: loaded module regularly clip_l.transformer.text_model.encoder.layers.2.layer_norm1 LayerNorm((768,), eps=1e-05, elementwise_affine=True)
- lowvram: loaded module regularly clip_l.transformer.text_model.encoder.layers.11.layer_norm2 LayerNorm((768,), eps=1e-05, elementwise_affine=True)
- lowvram: loaded module regularly clip_l.transformer.text_model.encoder.layers.11.layer_norm1 LayerNorm((768,), eps=1e-05, elementwise_affine=True)
- lowvram: loaded module regularly clip_l.transformer.text_model.encoder.layers.10.layer_norm2 LayerNorm((768,), eps=1e-05, elementwise_affine=True)
- lowvram: loaded module regularly clip_l.transformer.text_model.encoder.layers.10.layer_norm1 LayerNorm((768,), eps=1e-05, elementwise_affine=True)
- lowvram: loaded module regularly clip_l.transformer.text_model.encoder.layers.1.layer_norm2 LayerNorm((768,), eps=1e-05, elementwise_affine=True)
- lowvram: loaded module regularly clip_l.transformer.text_model.encoder.layers.1.layer_norm1 LayerNorm((768,), eps=1e-05, elementwise_affine=True)
- lowvram: loaded module regularly clip_l.transformer.text_model.encoder.layers.0.layer_norm2 LayerNorm((768,), eps=1e-05, elementwise_affine=True)
- lowvram: loaded module regularly clip_l.transformer.text_model.encoder.layers.0.layer_norm1 LayerNorm((768,), eps=1e-05, elementwise_affine=True)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.0.layer.0.SelfAttention.relative_attention_bias Embedding(32, 64)
- loaded completely 0.0 4777.53759765625 True
- CLIP model load device: cuda:0, offload device: cpu, current: cuda:0
- loaded straight to GPU
- Requested to load Flux
- Loading 1 new model
- Unloading FluxClipModel_
- lowvram: loaded module regularly diffusion_model.single_blocks.9.linear1 Linear(in_features=3072, out_features=21504, bias=True)
- lowvram: loaded module regularly diffusion_model.single_blocks.8.linear1 Linear(in_features=3072, out_features=21504, bias=True)
- lowvram: loaded module regularly diffusion_model.single_blocks.7.linear1 Linear(in_features=3072, out_features=21504, bias=True)
- lowvram: loaded module regularly diffusion_model.single_blocks.6.linear1 Linear(in_features=3072, out_features=21504, bias=True)
- lowvram: loaded module regularly diffusion_model.single_blocks.5.linear1 Linear(in_features=3072, out_features=21504, bias=True)
- lowvram: loaded module regularly diffusion_model.single_blocks.4.linear1 Linear(in_features=3072, out_features=21504, bias=True)
- lowvram: loaded module regularly diffusion_model.single_blocks.37.linear1 Linear(in_features=3072, out_features=21504, bias=True)
- lowvram: loaded module regularly diffusion_model.single_blocks.36.linear1 Linear(in_features=3072, out_features=21504, bias=True)
- lowvram: loaded module regularly diffusion_model.single_blocks.35.linear1 Linear(in_features=3072, out_features=21504, bias=True)
- lowvram: loaded module regularly diffusion_model.single_blocks.34.linear1 Linear(in_features=3072, out_features=21504, bias=True)
- lowvram: loaded module regularly diffusion_model.single_blocks.33.linear1 Linear(in_features=3072, out_features=21504, bias=True)
- lowvram: loaded module regularly diffusion_model.single_blocks.32.linear1 Linear(in_features=3072, out_features=21504, bias=True)
- lowvram: loaded module regularly diffusion_model.single_blocks.31.linear1 Linear(in_features=3072, out_features=21504, bias=True)
- lowvram: loaded module regularly diffusion_model.single_blocks.30.linear1 Linear(in_features=3072, out_features=21504, bias=True)
- lowvram: loaded module regularly diffusion_model.single_blocks.3.linear1 Linear(in_features=3072, out_features=21504, bias=True)
- lowvram: loaded module regularly diffusion_model.single_blocks.29.linear1 Linear(in_features=3072, out_features=21504, bias=True)
- lowvram: loaded module regularly diffusion_model.single_blocks.28.linear1 Linear(in_features=3072, out_features=21504, bias=True)
- lowvram: loaded module regularly diffusion_model.single_blocks.27.linear1 Linear(in_features=3072, out_features=21504, bias=True)
- lowvram: loaded module regularly diffusion_model.single_blocks.26.linear1 Linear(in_features=3072, out_features=21504, bias=True)
- lowvram: loaded module regularly diffusion_model.single_blocks.25.linear1 Linear(in_features=3072, out_features=21504, bias=True)
- lowvram: loaded module regularly diffusion_model.single_blocks.24.linear1 Linear(in_features=3072, out_features=21504, bias=True)
- lowvram: loaded module regularly diffusion_model.single_blocks.23.linear1 Linear(in_features=3072, out_features=21504, bias=True)
- lowvram: loaded module regularly diffusion_model.single_blocks.22.linear1 Linear(in_features=3072, out_features=21504, bias=True)
- lowvram: loaded module regularly diffusion_model.single_blocks.21.linear1 Linear(in_features=3072, out_features=21504, bias=True)
- lowvram: loaded module regularly diffusion_model.single_blocks.20.linear1 Linear(in_features=3072, out_features=21504, bias=True)
- lowvram: loaded module regularly diffusion_model.single_blocks.2.linear1 Linear(in_features=3072, out_features=21504, bias=True)
- lowvram: loaded module regularly diffusion_model.single_blocks.19.linear1 Linear(in_features=3072, out_features=21504, bias=True)
- lowvram: loaded module regularly diffusion_model.single_blocks.18.linear1 Linear(in_features=3072, out_features=21504, bias=True)
- lowvram: loaded module regularly diffusion_model.single_blocks.17.linear1 Linear(in_features=3072, out_features=21504, bias=True)
- lowvram: loaded module regularly diffusion_model.single_blocks.16.linear1 Linear(in_features=3072, out_features=21504, bias=True)
- lowvram: loaded module regularly diffusion_model.single_blocks.15.linear1 Linear(in_features=3072, out_features=21504, bias=True)
- lowvram: loaded module regularly diffusion_model.single_blocks.14.linear1 Linear(in_features=3072, out_features=21504, bias=True)
- lowvram: loaded module regularly diffusion_model.single_blocks.13.linear1 Linear(in_features=3072, out_features=21504, bias=True)
- lowvram: loaded module regularly diffusion_model.single_blocks.12.linear1 Linear(in_features=3072, out_features=21504, bias=True)
- lowvram: loaded module regularly diffusion_model.single_blocks.11.linear1 Linear(in_features=3072, out_features=21504, bias=True)
- lowvram: loaded module regularly diffusion_model.single_blocks.10.linear1 Linear(in_features=3072, out_features=21504, bias=True)
- lowvram: loaded module regularly diffusion_model.single_blocks.1.linear1 Linear(in_features=3072, out_features=21504, bias=True)
- lowvram: loaded module regularly diffusion_model.single_blocks.0.linear1 Linear(in_features=3072, out_features=21504, bias=True)
- lowvram: loaded module regularly diffusion_model.double_blocks.9.txt_mod.lin Linear(in_features=3072, out_features=18432, bias=True)
- lowvram: loaded module regularly diffusion_model.double_blocks.9.img_mod.lin Linear(in_features=3072, out_features=18432, bias=True)
- lowvram: loaded module regularly diffusion_model.double_blocks.8.txt_mod.lin Linear(in_features=3072, out_features=18432, bias=True)
- lowvram: loaded module regularly diffusion_model.double_blocks.8.img_mod.lin Linear(in_features=3072, out_features=18432, bias=True)
- lowvram: loaded module regularly diffusion_model.double_blocks.7.txt_mod.lin Linear(in_features=3072, out_features=18432, bias=True)
- lowvram: loaded module regularly diffusion_model.double_blocks.7.img_mod.lin Linear(in_features=3072, out_features=18432, bias=True)
- lowvram: loaded module regularly diffusion_model.double_blocks.6.txt_mod.lin Linear(in_features=3072, out_features=18432, bias=True)
- lowvram: loaded module regularly diffusion_model.double_blocks.6.img_mod.lin Linear(in_features=3072, out_features=18432, bias=True)
- lowvram: loaded module regularly diffusion_model.double_blocks.5.txt_mod.lin Linear(in_features=3072, out_features=18432, bias=True)
- lowvram: loaded module regularly diffusion_model.double_blocks.5.img_mod.lin Linear(in_features=3072, out_features=18432, bias=True)
- lowvram: loaded module regularly diffusion_model.double_blocks.4.txt_mod.lin Linear(in_features=3072, out_features=18432, bias=True)
- lowvram: loaded module regularly diffusion_model.double_blocks.4.img_mod.lin Linear(in_features=3072, out_features=18432, bias=True)
- lowvram: loaded module regularly diffusion_model.double_blocks.3.txt_mod.lin Linear(in_features=3072, out_features=18432, bias=True)
- lowvram: loaded module regularly diffusion_model.double_blocks.3.img_mod.lin Linear(in_features=3072, out_features=18432, bias=True)
- lowvram: loaded module regularly diffusion_model.double_blocks.2.txt_mod.lin Linear(in_features=3072, out_features=18432, bias=True)
- lowvram: loaded module regularly diffusion_model.double_blocks.2.img_mod.lin Linear(in_features=3072, out_features=18432, bias=True)
- lowvram: loaded module regularly diffusion_model.double_blocks.18.txt_mod.lin Linear(in_features=3072, out_features=18432, bias=True)
- lowvram: loaded module regularly diffusion_model.double_blocks.18.img_mod.lin Linear(in_features=3072, out_features=18432, bias=True)
- lowvram: loaded module regularly diffusion_model.double_blocks.17.txt_mod.lin Linear(in_features=3072, out_features=18432, bias=True)
- lowvram: loaded module regularly diffusion_model.double_blocks.17.img_mod.lin Linear(in_features=3072, out_features=18432, bias=True)
- lowvram: loaded module regularly diffusion_model.double_blocks.16.txt_mod.lin Linear(in_features=3072, out_features=18432, bias=True)
- lowvram: loaded module regularly diffusion_model.double_blocks.16.img_mod.lin Linear(in_features=3072, out_features=18432, bias=True)
- lowvram: loaded module regularly diffusion_model.double_blocks.15.txt_mod.lin Linear(in_features=3072, out_features=18432, bias=True)
- lowvram: loaded module regularly diffusion_model.double_blocks.15.img_mod.lin Linear(in_features=3072, out_features=18432, bias=True)
- lowvram: loaded module regularly diffusion_model.double_blocks.14.txt_mod.lin Linear(in_features=3072, out_features=18432, bias=True)
- lowvram: loaded module regularly diffusion_model.double_blocks.14.img_mod.lin Linear(in_features=3072, out_features=18432, bias=True)
- lowvram: loaded module regularly diffusion_model.double_blocks.13.txt_mod.lin Linear(in_features=3072, out_features=18432, bias=True)
- lowvram: loaded module regularly diffusion_model.double_blocks.13.img_mod.lin Linear(in_features=3072, out_features=18432, bias=True)
- lowvram: loaded module regularly diffusion_model.double_blocks.12.txt_mod.lin Linear(in_features=3072, out_features=18432, bias=True)
- lowvram: loaded module regularly diffusion_model.double_blocks.12.img_mod.lin Linear(in_features=3072, out_features=18432, bias=True)
- lowvram: loaded module regularly diffusion_model.double_blocks.11.txt_mod.lin Linear(in_features=3072, out_features=18432, bias=True)
- lowvram: loaded module regularly diffusion_model.double_blocks.11.img_mod.lin Linear(in_features=3072, out_features=18432, bias=True)
- lowvram: loaded module regularly diffusion_model.double_blocks.10.txt_mod.lin Linear(in_features=3072, out_features=18432, bias=True)
- lowvram: loaded module regularly diffusion_model.double_blocks.10.img_mod.lin Linear(in_features=3072, out_features=18432, bias=True)
- lowvram: loaded module regularly diffusion_model.double_blocks.1.txt_mod.lin Linear(in_features=3072, out_features=18432, bias=True)
- lowvram: loaded module regularly diffusion_model.double_blocks.1.img_mod.lin Linear(in_features=3072, out_features=18432, bias=True)
- lowvram: loaded module regularly diffusion_model.double_blocks.0.txt_mod.lin Linear(in_features=3072, out_features=18432, bias=True)
- lowvram: loaded module regularly diffusion_model.double_blocks.0.img_mod.lin Linear(in_features=3072, out_features=18432, bias=True)
- lowvram: loaded module regularly diffusion_model.single_blocks.9.linear2 Linear(in_features=15360, out_features=3072, bias=True)
- lowvram: loaded module regularly diffusion_model.single_blocks.8.linear2 Linear(in_features=15360, out_features=3072, bias=True)
- lowvram: loaded module regularly diffusion_model.single_blocks.7.linear2 Linear(in_features=15360, out_features=3072, bias=True)
- lowvram: loaded module regularly diffusion_model.single_blocks.6.linear2 Linear(in_features=15360, out_features=3072, bias=True)
- lowvram: loaded module regularly diffusion_model.single_blocks.5.linear2 Linear(in_features=15360, out_features=3072, bias=True)
- lowvram: loaded module regularly diffusion_model.single_blocks.4.linear2 Linear(in_features=15360, out_features=3072, bias=True)
- lowvram: loaded module regularly diffusion_model.single_blocks.37.linear2 Linear(in_features=15360, out_features=3072, bias=True)
- lowvram: loaded module regularly diffusion_model.single_blocks.36.linear2 Linear(in_features=15360, out_features=3072, bias=True)
- lowvram: loaded module regularly diffusion_model.single_blocks.35.linear2 Linear(in_features=15360, out_features=3072, bias=True)
- lowvram: loaded module regularly diffusion_model.single_blocks.34.linear2 Linear(in_features=15360, out_features=3072, bias=True)
- lowvram: loaded module regularly diffusion_model.single_blocks.33.linear2 Linear(in_features=15360, out_features=3072, bias=True)
- lowvram: loaded module regularly diffusion_model.single_blocks.32.linear2 Linear(in_features=15360, out_features=3072, bias=True)
- lowvram: loaded module regularly diffusion_model.single_blocks.31.linear2 Linear(in_features=15360, out_features=3072, bias=True)
- lowvram: loaded module regularly diffusion_model.single_blocks.30.linear2 Linear(in_features=15360, out_features=3072, bias=True)
- lowvram: loaded module regularly diffusion_model.single_blocks.3.linear2 Linear(in_features=15360, out_features=3072, bias=True)
- lowvram: loaded module regularly diffusion_model.single_blocks.29.linear2 Linear(in_features=15360, out_features=3072, bias=True)
- lowvram: loaded module regularly diffusion_model.single_blocks.28.linear2 Linear(in_features=15360, out_features=3072, bias=True)
- lowvram: loaded module regularly diffusion_model.single_blocks.27.linear2 Linear(in_features=15360, out_features=3072, bias=True)
- lowvram: loaded module regularly diffusion_model.single_blocks.26.linear2 Linear(in_features=15360, out_features=3072, bias=True)
- lowvram: loaded module regularly diffusion_model.single_blocks.25.linear2 Linear(in_features=15360, out_features=3072, bias=True)
- lowvram: loaded module regularly diffusion_model.single_blocks.24.linear2 Linear(in_features=15360, out_features=3072, bias=True)
- lowvram: loaded module regularly diffusion_model.single_blocks.23.linear2 Linear(in_features=15360, out_features=3072, bias=True)
- lowvram: loaded module regularly diffusion_model.single_blocks.22.linear2 Linear(in_features=15360, out_features=3072, bias=True)
- lowvram: loaded module regularly diffusion_model.single_blocks.21.linear2 Linear(in_features=15360, out_features=3072, bias=True)
- lowvram: loaded module regularly diffusion_model.single_blocks.20.linear2 Linear(in_features=15360, out_features=3072, bias=True)
- lowvram: loaded module regularly diffusion_model.single_blocks.2.linear2 Linear(in_features=15360, out_features=3072, bias=True)
- lowvram: loaded module regularly diffusion_model.single_blocks.19.linear2 Linear(in_features=15360, out_features=3072, bias=True)
- lowvram: loaded module regularly diffusion_model.single_blocks.18.linear2 Linear(in_features=15360, out_features=3072, bias=True)
- lowvram: loaded module regularly diffusion_model.single_blocks.17.linear2 Linear(in_features=15360, out_features=3072, bias=True)
- lowvram: loaded module regularly diffusion_model.single_blocks.16.linear2 Linear(in_features=15360, out_features=3072, bias=True)
- lowvram: loaded module regularly diffusion_model.single_blocks.15.linear2 Linear(in_features=15360, out_features=3072, bias=True)
- lowvram: loaded module regularly diffusion_model.single_blocks.14.linear2 Linear(in_features=15360, out_features=3072, bias=True)
- lowvram: loaded module regularly diffusion_model.single_blocks.13.linear2 Linear(in_features=15360, out_features=3072, bias=True)
- lowvram: loaded module regularly diffusion_model.single_blocks.12.linear2 Linear(in_features=15360, out_features=3072, bias=True)
- lowvram: loaded module regularly diffusion_model.single_blocks.11.linear2 Linear(in_features=15360, out_features=3072, bias=True)
- lowvram: loaded module regularly diffusion_model.single_blocks.10.linear2 Linear(in_features=15360, out_features=3072, bias=True)
- lowvram: loaded module regularly diffusion_model.single_blocks.1.linear2 Linear(in_features=15360, out_features=3072, bias=True)
- lowvram: loaded module regularly diffusion_model.single_blocks.0.linear2 Linear(in_features=15360, out_features=3072, bias=True)
- lowvram: loaded module regularly diffusion_model.double_blocks.9.txt_mlp.0 Linear(in_features=3072, out_features=12288, bias=True)
- lowvram: loaded module regularly diffusion_model.double_blocks.9.img_mlp.0 Linear(in_features=3072, out_features=12288, bias=True)
- lowvram: loaded module regularly diffusion_model.double_blocks.8.txt_mlp.0 Linear(in_features=3072, out_features=12288, bias=True)
- lowvram: loaded module regularly diffusion_model.double_blocks.8.img_mlp.0 Linear(in_features=3072, out_features=12288, bias=True)
- lowvram: loaded module regularly diffusion_model.double_blocks.7.txt_mlp.0 Linear(in_features=3072, out_features=12288, bias=True)
- lowvram: loaded module regularly diffusion_model.double_blocks.7.img_mlp.0 Linear(in_features=3072, out_features=12288, bias=True)
- lowvram: loaded module regularly diffusion_model.double_blocks.6.txt_mlp.0 Linear(in_features=3072, out_features=12288, bias=True)
- lowvram: loaded module regularly diffusion_model.double_blocks.6.img_mlp.0 Linear(in_features=3072, out_features=12288, bias=True)
- lowvram: loaded module regularly diffusion_model.double_blocks.5.txt_mlp.0 Linear(in_features=3072, out_features=12288, bias=True)
- lowvram: loaded module regularly diffusion_model.double_blocks.5.img_mlp.0 Linear(in_features=3072, out_features=12288, bias=True)
- lowvram: loaded module regularly diffusion_model.double_blocks.4.txt_mlp.0 Linear(in_features=3072, out_features=12288, bias=True)
- lowvram: loaded module regularly diffusion_model.double_blocks.4.img_mlp.0 Linear(in_features=3072, out_features=12288, bias=True)
- lowvram: loaded module regularly diffusion_model.double_blocks.3.txt_mlp.0 Linear(in_features=3072, out_features=12288, bias=True)
- lowvram: loaded module regularly diffusion_model.double_blocks.3.img_mlp.0 Linear(in_features=3072, out_features=12288, bias=True)
- lowvram: loaded module regularly diffusion_model.double_blocks.2.txt_mlp.0 Linear(in_features=3072, out_features=12288, bias=True)
- lowvram: loaded module regularly diffusion_model.double_blocks.2.img_mlp.0 Linear(in_features=3072, out_features=12288, bias=True)
- lowvram: loaded module regularly diffusion_model.double_blocks.18.txt_mlp.0 Linear(in_features=3072, out_features=12288, bias=True)
- lowvram: loaded module regularly diffusion_model.double_blocks.18.img_mlp.0 Linear(in_features=3072, out_features=12288, bias=True)
- lowvram: loaded module regularly diffusion_model.double_blocks.17.txt_mlp.0 Linear(in_features=3072, out_features=12288, bias=True)
- lowvram: loaded module regularly diffusion_model.double_blocks.17.img_mlp.0 Linear(in_features=3072, out_features=12288, bias=True)
- lowvram: loaded module regularly diffusion_model.double_blocks.16.txt_mlp.0 Linear(in_features=3072, out_features=12288, bias=True)
- lowvram: loaded module regularly diffusion_model.double_blocks.16.img_mlp.0 Linear(in_features=3072, out_features=12288, bias=True)
- lowvram: loaded module regularly diffusion_model.double_blocks.15.txt_mlp.0 Linear(in_features=3072, out_features=12288, bias=True)
- lowvram: loaded module regularly diffusion_model.double_blocks.15.img_mlp.0 Linear(in_features=3072, out_features=12288, bias=True)
- lowvram: loaded module regularly diffusion_model.double_blocks.14.txt_mlp.0 Linear(in_features=3072, out_features=12288, bias=True)
- lowvram: loaded module regularly diffusion_model.double_blocks.14.img_mlp.0 Linear(in_features=3072, out_features=12288, bias=True)
- lowvram: loaded module regularly diffusion_model.double_blocks.13.txt_mlp.0 Linear(in_features=3072, out_features=12288, bias=True)
- lowvram: loaded module regularly diffusion_model.double_blocks.13.img_mlp.0 Linear(in_features=3072, out_features=12288, bias=True)
- lowvram: loaded module regularly diffusion_model.double_blocks.12.txt_mlp.0 Linear(in_features=3072, out_features=12288, bias=True)
- lowvram: loaded module regularly diffusion_model.double_blocks.12.img_mlp.0 Linear(in_features=3072, out_features=12288, bias=True)
- lowvram: loaded module regularly diffusion_model.double_blocks.11.txt_mlp.0 Linear(in_features=3072, out_features=12288, bias=True)
- lowvram: loaded module regularly diffusion_model.double_blocks.11.img_mlp.0 Linear(in_features=3072, out_features=12288, bias=True)
- lowvram: loaded module regularly diffusion_model.double_blocks.10.txt_mlp.0 Linear(in_features=3072, out_features=12288, bias=True)
- lowvram: loaded module regularly diffusion_model.double_blocks.10.img_mlp.0 Linear(in_features=3072, out_features=12288, bias=True)
- lowvram: loaded module regularly diffusion_model.double_blocks.1.txt_mlp.0 Linear(in_features=3072, out_features=12288, bias=True)
- lowvram: loaded module regularly diffusion_model.double_blocks.1.img_mlp.0 Linear(in_features=3072, out_features=12288, bias=True)
- lowvram: loaded module regularly diffusion_model.double_blocks.0.txt_mlp.0 Linear(in_features=3072, out_features=12288, bias=True)
- lowvram: loaded module regularly diffusion_model.double_blocks.0.img_mlp.0 Linear(in_features=3072, out_features=12288, bias=True)
- lowvram: loaded module regularly diffusion_model.double_blocks.9.txt_mlp.2 Linear(in_features=12288, out_features=3072, bias=True)
- lowvram: loaded module regularly diffusion_model.double_blocks.9.img_mlp.2 Linear(in_features=12288, out_features=3072, bias=True)
- lowvram: loaded module regularly diffusion_model.double_blocks.8.txt_mlp.2 Linear(in_features=12288, out_features=3072, bias=True)
- lowvram: loaded module regularly diffusion_model.double_blocks.8.img_mlp.2 Linear(in_features=12288, out_features=3072, bias=True)
- lowvram: loaded module regularly diffusion_model.double_blocks.7.txt_mlp.2 Linear(in_features=12288, out_features=3072, bias=True)
- lowvram: loaded module regularly diffusion_model.double_blocks.7.img_mlp.2 Linear(in_features=12288, out_features=3072, bias=True)
- lowvram: loaded module regularly diffusion_model.double_blocks.6.txt_mlp.2 Linear(in_features=12288, out_features=3072, bias=True)
- lowvram: loaded module regularly diffusion_model.double_blocks.6.img_mlp.2 Linear(in_features=12288, out_features=3072, bias=True)
- lowvram: loaded module regularly diffusion_model.double_blocks.5.txt_mlp.2 Linear(in_features=12288, out_features=3072, bias=True)
- lowvram: loaded module regularly diffusion_model.double_blocks.5.img_mlp.2 Linear(in_features=12288, out_features=3072, bias=True)
- lowvram: loaded module regularly diffusion_model.double_blocks.4.txt_mlp.2 Linear(in_features=12288, out_features=3072, bias=True)
- lowvram: loaded module regularly diffusion_model.double_blocks.4.img_mlp.2 Linear(in_features=12288, out_features=3072, bias=True)
- lowvram: loaded module regularly diffusion_model.double_blocks.3.txt_mlp.2 Linear(in_features=12288, out_features=3072, bias=True)
- lowvram: loaded module regularly diffusion_model.double_blocks.3.img_mlp.2 Linear(in_features=12288, out_features=3072, bias=True)
- lowvram: loaded module regularly diffusion_model.double_blocks.2.txt_mlp.2 Linear(in_features=12288, out_features=3072, bias=True)
- lowvram: loaded module regularly diffusion_model.double_blocks.2.img_mlp.2 Linear(in_features=12288, out_features=3072, bias=True)
- lowvram: loaded module regularly diffusion_model.double_blocks.18.txt_mlp.2 Linear(in_features=12288, out_features=3072, bias=True)
- lowvram: loaded module regularly diffusion_model.double_blocks.18.img_mlp.2 Linear(in_features=12288, out_features=3072, bias=True)
- lowvram: loaded module regularly diffusion_model.double_blocks.17.txt_mlp.2 Linear(in_features=12288, out_features=3072, bias=True)
- lowvram: loaded module regularly diffusion_model.double_blocks.17.img_mlp.2 Linear(in_features=12288, out_features=3072, bias=True)
- lowvram: loaded module regularly diffusion_model.double_blocks.16.txt_mlp.2 Linear(in_features=12288, out_features=3072, bias=True)
- lowvram: loaded module regularly diffusion_model.double_blocks.16.img_mlp.2 Linear(in_features=12288, out_features=3072, bias=True)
- lowvram: loaded module regularly diffusion_model.double_blocks.15.txt_mlp.2 Linear(in_features=12288, out_features=3072, bias=True)
- lowvram: loaded module regularly diffusion_model.double_blocks.15.img_mlp.2 Linear(in_features=12288, out_features=3072, bias=True)
- lowvram: loaded module regularly diffusion_model.double_blocks.14.txt_mlp.2 Linear(in_features=12288, out_features=3072, bias=True)
- lowvram: loaded module regularly diffusion_model.double_blocks.14.img_mlp.2 Linear(in_features=12288, out_features=3072, bias=True)
- lowvram: loaded module regularly diffusion_model.double_blocks.13.txt_mlp.2 Linear(in_features=12288, out_features=3072, bias=True)
- lowvram: loaded module regularly diffusion_model.double_blocks.13.img_mlp.2 Linear(in_features=12288, out_features=3072, bias=True)
- lowvram: loaded module regularly diffusion_model.double_blocks.12.txt_mlp.2 Linear(in_features=12288, out_features=3072, bias=True)
- lowvram: loaded module regularly diffusion_model.double_blocks.12.img_mlp.2 Linear(in_features=12288, out_features=3072, bias=True)
- lowvram: loaded module regularly diffusion_model.double_blocks.11.txt_mlp.2 Linear(in_features=12288, out_features=3072, bias=True)
- lowvram: loaded module regularly diffusion_model.double_blocks.11.img_mlp.2 Linear(in_features=12288, out_features=3072, bias=True)
- lowvram: loaded module regularly diffusion_model.double_blocks.10.txt_mlp.2 Linear(in_features=12288, out_features=3072, bias=True)
- lowvram: loaded module regularly diffusion_model.double_blocks.10.img_mlp.2 Linear(in_features=12288, out_features=3072, bias=True)
- lowvram: loaded module regularly diffusion_model.double_blocks.1.txt_mlp.2 Linear(in_features=12288, out_features=3072, bias=True)
- lowvram: loaded module regularly diffusion_model.double_blocks.1.img_mlp.2 Linear(in_features=12288, out_features=3072, bias=True)
- lowvram: loaded module regularly diffusion_model.double_blocks.0.txt_mlp.2 Linear(in_features=12288, out_features=3072, bias=True)
- lowvram: loaded module regularly diffusion_model.double_blocks.0.img_mlp.2 Linear(in_features=12288, out_features=3072, bias=True)
- lowvram: loaded module regularly diffusion_model.single_blocks.9.modulation.lin Linear(in_features=3072, out_features=9216, bias=True)
- lowvram: loaded module regularly diffusion_model.single_blocks.8.modulation.lin Linear(in_features=3072, out_features=9216, bias=True)
- lowvram: loaded module regularly diffusion_model.single_blocks.7.modulation.lin Linear(in_features=3072, out_features=9216, bias=True)
- lowvram: loaded module regularly diffusion_model.single_blocks.6.modulation.lin Linear(in_features=3072, out_features=9216, bias=True)
- lowvram: loaded module regularly diffusion_model.single_blocks.5.modulation.lin Linear(in_features=3072, out_features=9216, bias=True)
- lowvram: loaded module regularly diffusion_model.single_blocks.4.modulation.lin Linear(in_features=3072, out_features=9216, bias=True)
- lowvram: loaded module regularly diffusion_model.single_blocks.37.modulation.lin Linear(in_features=3072, out_features=9216, bias=True)
- lowvram: loaded module regularly diffusion_model.single_blocks.36.modulation.lin Linear(in_features=3072, out_features=9216, bias=True)
- lowvram: loaded module regularly diffusion_model.single_blocks.35.modulation.lin Linear(in_features=3072, out_features=9216, bias=True)
- lowvram: loaded module regularly diffusion_model.single_blocks.34.modulation.lin Linear(in_features=3072, out_features=9216, bias=True)
- lowvram: loaded module regularly diffusion_model.single_blocks.33.modulation.lin Linear(in_features=3072, out_features=9216, bias=True)
- lowvram: loaded module regularly diffusion_model.single_blocks.32.modulation.lin Linear(in_features=3072, out_features=9216, bias=True)
- lowvram: loaded module regularly diffusion_model.single_blocks.31.modulation.lin Linear(in_features=3072, out_features=9216, bias=True)
- lowvram: loaded module regularly diffusion_model.single_blocks.30.modulation.lin Linear(in_features=3072, out_features=9216, bias=True)
- lowvram: loaded module regularly diffusion_model.single_blocks.3.modulation.lin Linear(in_features=3072, out_features=9216, bias=True)
- lowvram: loaded module regularly diffusion_model.single_blocks.29.modulation.lin Linear(in_features=3072, out_features=9216, bias=True)
- lowvram: loaded module regularly diffusion_model.single_blocks.28.modulation.lin Linear(in_features=3072, out_features=9216, bias=True)
- lowvram: loaded module regularly diffusion_model.single_blocks.27.modulation.lin Linear(in_features=3072, out_features=9216, bias=True)
- lowvram: loaded module regularly diffusion_model.single_blocks.26.modulation.lin Linear(in_features=3072, out_features=9216, bias=True)
- lowvram: loaded module regularly diffusion_model.single_blocks.25.modulation.lin Linear(in_features=3072, out_features=9216, bias=True)
- lowvram: loaded module regularly diffusion_model.single_blocks.24.modulation.lin Linear(in_features=3072, out_features=9216, bias=True)
- lowvram: loaded module regularly diffusion_model.single_blocks.23.modulation.lin Linear(in_features=3072, out_features=9216, bias=True)
- lowvram: loaded module regularly diffusion_model.single_blocks.22.modulation.lin Linear(in_features=3072, out_features=9216, bias=True)
- lowvram: loaded module regularly diffusion_model.single_blocks.21.modulation.lin Linear(in_features=3072, out_features=9216, bias=True)
- lowvram: loaded module regularly diffusion_model.single_blocks.20.modulation.lin Linear(in_features=3072, out_features=9216, bias=True)
- lowvram: loaded module regularly diffusion_model.single_blocks.2.modulation.lin Linear(in_features=3072, out_features=9216, bias=True)
- lowvram: loaded module regularly diffusion_model.single_blocks.19.modulation.lin Linear(in_features=3072, out_features=9216, bias=True)
- lowvram: loaded module regularly diffusion_model.single_blocks.18.modulation.lin Linear(in_features=3072, out_features=9216, bias=True)
- lowvram: loaded module regularly diffusion_model.single_blocks.17.modulation.lin Linear(in_features=3072, out_features=9216, bias=True)
- lowvram: loaded module regularly diffusion_model.single_blocks.16.modulation.lin Linear(in_features=3072, out_features=9216, bias=True)
- lowvram: loaded module regularly diffusion_model.single_blocks.15.modulation.lin Linear(in_features=3072, out_features=9216, bias=True)
- lowvram: loaded module regularly diffusion_model.single_blocks.14.modulation.lin Linear(in_features=3072, out_features=9216, bias=True)
- lowvram: loaded module regularly diffusion_model.single_blocks.13.modulation.lin Linear(in_features=3072, out_features=9216, bias=True)
- lowvram: loaded module regularly diffusion_model.single_blocks.12.modulation.lin Linear(in_features=3072, out_features=9216, bias=True)
- lowvram: loaded module regularly diffusion_model.single_blocks.11.modulation.lin Linear(in_features=3072, out_features=9216, bias=True)
- lowvram: loaded module regularly diffusion_model.single_blocks.10.modulation.lin Linear(in_features=3072, out_features=9216, bias=True)
- lowvram: loaded module regularly diffusion_model.single_blocks.1.modulation.lin Linear(in_features=3072, out_features=9216, bias=True)
- lowvram: loaded module regularly diffusion_model.single_blocks.0.modulation.lin Linear(in_features=3072, out_features=9216, bias=True)
- lowvram: loaded module regularly diffusion_model.double_blocks.9.txt_attn.qkv Linear(in_features=3072, out_features=9216, bias=True)
- lowvram: loaded module regularly diffusion_model.double_blocks.9.img_attn.qkv Linear(in_features=3072, out_features=9216, bias=True)
- lowvram: loaded module regularly diffusion_model.double_blocks.8.txt_attn.qkv Linear(in_features=3072, out_features=9216, bias=True)
- lowvram: loaded module regularly diffusion_model.double_blocks.8.img_attn.qkv Linear(in_features=3072, out_features=9216, bias=True)
- lowvram: loaded module regularly diffusion_model.double_blocks.7.txt_attn.qkv Linear(in_features=3072, out_features=9216, bias=True)
- lowvram: loaded module regularly diffusion_model.double_blocks.7.img_attn.qkv Linear(in_features=3072, out_features=9216, bias=True)
- lowvram: loaded module regularly diffusion_model.double_blocks.6.txt_attn.qkv Linear(in_features=3072, out_features=9216, bias=True)
- lowvram: loaded module regularly diffusion_model.double_blocks.6.img_attn.qkv Linear(in_features=3072, out_features=9216, bias=True)
- lowvram: loaded module regularly diffusion_model.double_blocks.5.txt_attn.qkv Linear(in_features=3072, out_features=9216, bias=True)
- lowvram: loaded module regularly diffusion_model.double_blocks.5.img_attn.qkv Linear(in_features=3072, out_features=9216, bias=True)
- lowvram: loaded module regularly diffusion_model.double_blocks.4.txt_attn.qkv Linear(in_features=3072, out_features=9216, bias=True)
- lowvram: loaded module regularly diffusion_model.double_blocks.4.img_attn.qkv Linear(in_features=3072, out_features=9216, bias=True)
- lowvram: loaded module regularly diffusion_model.double_blocks.3.txt_attn.qkv Linear(in_features=3072, out_features=9216, bias=True)
- lowvram: loaded module regularly diffusion_model.double_blocks.3.img_attn.qkv Linear(in_features=3072, out_features=9216, bias=True)
- lowvram: loaded module regularly diffusion_model.double_blocks.2.txt_attn.qkv Linear(in_features=3072, out_features=9216, bias=True)
- lowvram: loaded module regularly diffusion_model.double_blocks.2.img_attn.qkv Linear(in_features=3072, out_features=9216, bias=True)
- lowvram: loaded module regularly diffusion_model.double_blocks.18.txt_attn.qkv Linear(in_features=3072, out_features=9216, bias=True)
- lowvram: loaded module regularly diffusion_model.double_blocks.18.img_attn.qkv Linear(in_features=3072, out_features=9216, bias=True)
- lowvram: loaded module regularly diffusion_model.double_blocks.17.txt_attn.qkv Linear(in_features=3072, out_features=9216, bias=True)
- lowvram: loaded module regularly diffusion_model.double_blocks.17.img_attn.qkv Linear(in_features=3072, out_features=9216, bias=True)
- lowvram: loaded module regularly diffusion_model.double_blocks.16.txt_attn.qkv Linear(in_features=3072, out_features=9216, bias=True)
- lowvram: loaded module regularly diffusion_model.double_blocks.16.img_attn.qkv Linear(in_features=3072, out_features=9216, bias=True)
- lowvram: loaded module regularly diffusion_model.double_blocks.15.txt_attn.qkv Linear(in_features=3072, out_features=9216, bias=True)
- lowvram: loaded module regularly diffusion_model.double_blocks.15.img_attn.qkv Linear(in_features=3072, out_features=9216, bias=True)
- lowvram: loaded module regularly diffusion_model.double_blocks.14.txt_attn.qkv Linear(in_features=3072, out_features=9216, bias=True)
- lowvram: loaded module regularly diffusion_model.double_blocks.14.img_attn.qkv Linear(in_features=3072, out_features=9216, bias=True)
- lowvram: loaded module regularly diffusion_model.double_blocks.13.txt_attn.qkv Linear(in_features=3072, out_features=9216, bias=True)
- lowvram: loaded module regularly diffusion_model.double_blocks.13.img_attn.qkv Linear(in_features=3072, out_features=9216, bias=True)
- lowvram: loaded module regularly diffusion_model.double_blocks.12.txt_attn.qkv Linear(in_features=3072, out_features=9216, bias=True)
- lowvram: loaded module regularly diffusion_model.double_blocks.12.img_attn.qkv Linear(in_features=3072, out_features=9216, bias=True)
- lowvram: loaded module regularly diffusion_model.double_blocks.11.txt_attn.qkv Linear(in_features=3072, out_features=9216, bias=True)
- lowvram: loaded module regularly diffusion_model.double_blocks.11.img_attn.qkv Linear(in_features=3072, out_features=9216, bias=True)
- lowvram: loaded module regularly diffusion_model.double_blocks.10.txt_attn.qkv Linear(in_features=3072, out_features=9216, bias=True)
- lowvram: loaded module regularly diffusion_model.double_blocks.10.img_attn.qkv Linear(in_features=3072, out_features=9216, bias=True)
- lowvram: loaded module regularly diffusion_model.double_blocks.1.txt_attn.qkv Linear(in_features=3072, out_features=9216, bias=True)
- lowvram: loaded module regularly diffusion_model.double_blocks.1.img_attn.qkv Linear(in_features=3072, out_features=9216, bias=True)
- lowvram: loaded module regularly diffusion_model.double_blocks.0.txt_attn.qkv Linear(in_features=3072, out_features=9216, bias=True)
- lowvram: loaded module regularly diffusion_model.double_blocks.0.img_attn.qkv Linear(in_features=3072, out_features=9216, bias=True)
- lowvram: loaded module regularly diffusion_model.final_layer.adaLN_modulation.1 Linear(in_features=3072, out_features=6144, bias=True)
- lowvram: loaded module regularly diffusion_model.txt_in Linear(in_features=4096, out_features=3072, bias=True)
- lowvram: loaded module regularly diffusion_model.vector_in.out_layer Linear(in_features=3072, out_features=3072, bias=True)
- lowvram: loaded module regularly diffusion_model.time_in.out_layer Linear(in_features=3072, out_features=3072, bias=True)
- lowvram: loaded module regularly diffusion_model.guidance_in.out_layer Linear(in_features=3072, out_features=3072, bias=True)
- lowvram: loaded module regularly diffusion_model.double_blocks.9.txt_attn.proj Linear(in_features=3072, out_features=3072, bias=True)
- lowvram: loaded module regularly diffusion_model.double_blocks.9.img_attn.proj Linear(in_features=3072, out_features=3072, bias=True)
- lowvram: loaded module regularly diffusion_model.double_blocks.8.txt_attn.proj Linear(in_features=3072, out_features=3072, bias=True)
- lowvram: loaded module regularly diffusion_model.double_blocks.8.img_attn.proj Linear(in_features=3072, out_features=3072, bias=True)
- lowvram: loaded module regularly diffusion_model.double_blocks.7.txt_attn.proj Linear(in_features=3072, out_features=3072, bias=True)
- lowvram: loaded module regularly diffusion_model.double_blocks.7.img_attn.proj Linear(in_features=3072, out_features=3072, bias=True)
- lowvram: loaded module regularly diffusion_model.double_blocks.6.txt_attn.proj Linear(in_features=3072, out_features=3072, bias=True)
- lowvram: loaded module regularly diffusion_model.double_blocks.6.img_attn.proj Linear(in_features=3072, out_features=3072, bias=True)
- lowvram: loaded module regularly diffusion_model.double_blocks.5.txt_attn.proj Linear(in_features=3072, out_features=3072, bias=True)
- lowvram: loaded module regularly diffusion_model.double_blocks.5.img_attn.proj Linear(in_features=3072, out_features=3072, bias=True)
- lowvram: loaded module regularly diffusion_model.double_blocks.4.txt_attn.proj Linear(in_features=3072, out_features=3072, bias=True)
- lowvram: loaded module regularly diffusion_model.double_blocks.4.img_attn.proj Linear(in_features=3072, out_features=3072, bias=True)
- lowvram: loaded module regularly diffusion_model.double_blocks.3.txt_attn.proj Linear(in_features=3072, out_features=3072, bias=True)
- lowvram: loaded module regularly diffusion_model.double_blocks.3.img_attn.proj Linear(in_features=3072, out_features=3072, bias=True)
- lowvram: loaded module regularly diffusion_model.double_blocks.2.txt_attn.proj Linear(in_features=3072, out_features=3072, bias=True)
- lowvram: loaded module regularly diffusion_model.double_blocks.2.img_attn.proj Linear(in_features=3072, out_features=3072, bias=True)
- lowvram: loaded module regularly diffusion_model.double_blocks.18.txt_attn.proj Linear(in_features=3072, out_features=3072, bias=True)
- lowvram: loaded module regularly diffusion_model.double_blocks.18.img_attn.proj Linear(in_features=3072, out_features=3072, bias=True)
- lowvram: loaded module regularly diffusion_model.double_blocks.17.txt_attn.proj Linear(in_features=3072, out_features=3072, bias=True)
- lowvram: loaded module regularly diffusion_model.double_blocks.17.img_attn.proj Linear(in_features=3072, out_features=3072, bias=True)
- lowvram: loaded module regularly diffusion_model.double_blocks.16.txt_attn.proj Linear(in_features=3072, out_features=3072, bias=True)
- lowvram: loaded module regularly diffusion_model.double_blocks.16.img_attn.proj Linear(in_features=3072, out_features=3072, bias=True)
- lowvram: loaded module regularly diffusion_model.double_blocks.15.txt_attn.proj Linear(in_features=3072, out_features=3072, bias=True)
- lowvram: loaded module regularly diffusion_model.double_blocks.15.img_attn.proj Linear(in_features=3072, out_features=3072, bias=True)
- lowvram: loaded module regularly diffusion_model.double_blocks.14.txt_attn.proj Linear(in_features=3072, out_features=3072, bias=True)
- lowvram: loaded module regularly diffusion_model.double_blocks.14.img_attn.proj Linear(in_features=3072, out_features=3072, bias=True)
- lowvram: loaded module regularly diffusion_model.double_blocks.13.txt_attn.proj Linear(in_features=3072, out_features=3072, bias=True)
- lowvram: loaded module regularly diffusion_model.double_blocks.13.img_attn.proj Linear(in_features=3072, out_features=3072, bias=True)
- lowvram: loaded module regularly diffusion_model.double_blocks.12.txt_attn.proj Linear(in_features=3072, out_features=3072, bias=True)
- lowvram: loaded module regularly diffusion_model.double_blocks.12.img_attn.proj Linear(in_features=3072, out_features=3072, bias=True)
- lowvram: loaded module regularly diffusion_model.double_blocks.11.txt_attn.proj Linear(in_features=3072, out_features=3072, bias=True)
- lowvram: loaded module regularly diffusion_model.double_blocks.11.img_attn.proj Linear(in_features=3072, out_features=3072, bias=True)
- lowvram: loaded module regularly diffusion_model.double_blocks.10.txt_attn.proj Linear(in_features=3072, out_features=3072, bias=True)
- lowvram: loaded module regularly diffusion_model.double_blocks.10.img_attn.proj Linear(in_features=3072, out_features=3072, bias=True)
- lowvram: loaded module regularly diffusion_model.double_blocks.1.txt_attn.proj Linear(in_features=3072, out_features=3072, bias=True)
- lowvram: loaded module regularly diffusion_model.double_blocks.1.img_attn.proj Linear(in_features=3072, out_features=3072, bias=True)
- lowvram: loaded module regularly diffusion_model.double_blocks.0.txt_attn.proj Linear(in_features=3072, out_features=3072, bias=True)
- lowvram: loaded module regularly diffusion_model.double_blocks.0.img_attn.proj Linear(in_features=3072, out_features=3072, bias=True)
- lowvram: loaded module regularly diffusion_model.vector_in.in_layer Linear(in_features=768, out_features=3072, bias=True)
- lowvram: loaded module regularly diffusion_model.time_in.in_layer Linear(in_features=256, out_features=3072, bias=True)
- lowvram: loaded module regularly diffusion_model.guidance_in.in_layer Linear(in_features=256, out_features=3072, bias=True)
- lowvram: loaded module regularly diffusion_model.img_in Linear(in_features=64, out_features=3072, bias=True)
- lowvram: loaded module regularly diffusion_model.final_layer.linear Linear(in_features=3072, out_features=64, bias=True)
- lowvram: loaded module regularly diffusion_model.single_blocks.9.pre_norm LayerNorm((3072,), eps=1e-06, elementwise_affine=False)
- lowvram: loaded module regularly diffusion_model.single_blocks.8.pre_norm LayerNorm((3072,), eps=1e-06, elementwise_affine=False)
- lowvram: loaded module regularly diffusion_model.single_blocks.7.pre_norm LayerNorm((3072,), eps=1e-06, elementwise_affine=False)
- lowvram: loaded module regularly diffusion_model.single_blocks.6.pre_norm LayerNorm((3072,), eps=1e-06, elementwise_affine=False)
- lowvram: loaded module regularly diffusion_model.single_blocks.5.pre_norm LayerNorm((3072,), eps=1e-06, elementwise_affine=False)
- lowvram: loaded module regularly diffusion_model.single_blocks.4.pre_norm LayerNorm((3072,), eps=1e-06, elementwise_affine=False)
- lowvram: loaded module regularly diffusion_model.single_blocks.37.pre_norm LayerNorm((3072,), eps=1e-06, elementwise_affine=False)
- lowvram: loaded module regularly diffusion_model.single_blocks.36.pre_norm LayerNorm((3072,), eps=1e-06, elementwise_affine=False)
- lowvram: loaded module regularly diffusion_model.single_blocks.35.pre_norm LayerNorm((3072,), eps=1e-06, elementwise_affine=False)
- lowvram: loaded module regularly diffusion_model.single_blocks.34.pre_norm LayerNorm((3072,), eps=1e-06, elementwise_affine=False)
- lowvram: loaded module regularly diffusion_model.single_blocks.33.pre_norm LayerNorm((3072,), eps=1e-06, elementwise_affine=False)
- lowvram: loaded module regularly diffusion_model.single_blocks.32.pre_norm LayerNorm((3072,), eps=1e-06, elementwise_affine=False)
- lowvram: loaded module regularly diffusion_model.single_blocks.31.pre_norm LayerNorm((3072,), eps=1e-06, elementwise_affine=False)
- lowvram: loaded module regularly diffusion_model.single_blocks.30.pre_norm LayerNorm((3072,), eps=1e-06, elementwise_affine=False)
- lowvram: loaded module regularly diffusion_model.single_blocks.3.pre_norm LayerNorm((3072,), eps=1e-06, elementwise_affine=False)
- lowvram: loaded module regularly diffusion_model.single_blocks.29.pre_norm LayerNorm((3072,), eps=1e-06, elementwise_affine=False)
- lowvram: loaded module regularly diffusion_model.single_blocks.28.pre_norm LayerNorm((3072,), eps=1e-06, elementwise_affine=False)
- lowvram: loaded module regularly diffusion_model.single_blocks.27.pre_norm LayerNorm((3072,), eps=1e-06, elementwise_affine=False)
- lowvram: loaded module regularly diffusion_model.single_blocks.26.pre_norm LayerNorm((3072,), eps=1e-06, elementwise_affine=False)
- lowvram: loaded module regularly diffusion_model.single_blocks.25.pre_norm LayerNorm((3072,), eps=1e-06, elementwise_affine=False)
- lowvram: loaded module regularly diffusion_model.single_blocks.24.pre_norm LayerNorm((3072,), eps=1e-06, elementwise_affine=False)
- lowvram: loaded module regularly diffusion_model.single_blocks.23.pre_norm LayerNorm((3072,), eps=1e-06, elementwise_affine=False)
- lowvram: loaded module regularly diffusion_model.single_blocks.22.pre_norm LayerNorm((3072,), eps=1e-06, elementwise_affine=False)
- lowvram: loaded module regularly diffusion_model.single_blocks.21.pre_norm LayerNorm((3072,), eps=1e-06, elementwise_affine=False)
- lowvram: loaded module regularly diffusion_model.single_blocks.20.pre_norm LayerNorm((3072,), eps=1e-06, elementwise_affine=False)
- lowvram: loaded module regularly diffusion_model.single_blocks.2.pre_norm LayerNorm((3072,), eps=1e-06, elementwise_affine=False)
- lowvram: loaded module regularly diffusion_model.single_blocks.19.pre_norm LayerNorm((3072,), eps=1e-06, elementwise_affine=False)
- lowvram: loaded module regularly diffusion_model.single_blocks.18.pre_norm LayerNorm((3072,), eps=1e-06, elementwise_affine=False)
- lowvram: loaded module regularly diffusion_model.single_blocks.17.pre_norm LayerNorm((3072,), eps=1e-06, elementwise_affine=False)
- lowvram: loaded module regularly diffusion_model.single_blocks.16.pre_norm LayerNorm((3072,), eps=1e-06, elementwise_affine=False)
- lowvram: loaded module regularly diffusion_model.single_blocks.15.pre_norm LayerNorm((3072,), eps=1e-06, elementwise_affine=False)
- lowvram: loaded module regularly diffusion_model.single_blocks.14.pre_norm LayerNorm((3072,), eps=1e-06, elementwise_affine=False)
- lowvram: loaded module regularly diffusion_model.single_blocks.13.pre_norm LayerNorm((3072,), eps=1e-06, elementwise_affine=False)
- lowvram: loaded module regularly diffusion_model.single_blocks.12.pre_norm LayerNorm((3072,), eps=1e-06, elementwise_affine=False)
- lowvram: loaded module regularly diffusion_model.single_blocks.11.pre_norm LayerNorm((3072,), eps=1e-06, elementwise_affine=False)
- lowvram: loaded module regularly diffusion_model.single_blocks.10.pre_norm LayerNorm((3072,), eps=1e-06, elementwise_affine=False)
- lowvram: loaded module regularly diffusion_model.single_blocks.1.pre_norm LayerNorm((3072,), eps=1e-06, elementwise_affine=False)
- lowvram: loaded module regularly diffusion_model.single_blocks.0.pre_norm LayerNorm((3072,), eps=1e-06, elementwise_affine=False)
- lowvram: loaded module regularly diffusion_model.final_layer.norm_final LayerNorm((3072,), eps=1e-06, elementwise_affine=False)
- lowvram: loaded module regularly diffusion_model.double_blocks.9.txt_norm2 LayerNorm((3072,), eps=1e-06, elementwise_affine=False)
- lowvram: loaded module regularly diffusion_model.double_blocks.9.txt_norm1 LayerNorm((3072,), eps=1e-06, elementwise_affine=False)
- lowvram: loaded module regularly diffusion_model.double_blocks.9.img_norm2 LayerNorm((3072,), eps=1e-06, elementwise_affine=False)
- lowvram: loaded module regularly diffusion_model.double_blocks.9.img_norm1 LayerNorm((3072,), eps=1e-06, elementwise_affine=False)
- lowvram: loaded module regularly diffusion_model.double_blocks.8.txt_norm2 LayerNorm((3072,), eps=1e-06, elementwise_affine=False)
- lowvram: loaded module regularly diffusion_model.double_blocks.8.txt_norm1 LayerNorm((3072,), eps=1e-06, elementwise_affine=False)
- lowvram: loaded module regularly diffusion_model.double_blocks.8.img_norm2 LayerNorm((3072,), eps=1e-06, elementwise_affine=False)
- lowvram: loaded module regularly diffusion_model.double_blocks.8.img_norm1 LayerNorm((3072,), eps=1e-06, elementwise_affine=False)
- lowvram: loaded module regularly diffusion_model.double_blocks.7.txt_norm2 LayerNorm((3072,), eps=1e-06, elementwise_affine=False)
- lowvram: loaded module regularly diffusion_model.double_blocks.7.txt_norm1 LayerNorm((3072,), eps=1e-06, elementwise_affine=False)
- lowvram: loaded module regularly diffusion_model.double_blocks.7.img_norm2 LayerNorm((3072,), eps=1e-06, elementwise_affine=False)
- lowvram: loaded module regularly diffusion_model.double_blocks.7.img_norm1 LayerNorm((3072,), eps=1e-06, elementwise_affine=False)
- lowvram: loaded module regularly diffusion_model.double_blocks.6.txt_norm2 LayerNorm((3072,), eps=1e-06, elementwise_affine=False)
- lowvram: loaded module regularly diffusion_model.double_blocks.6.txt_norm1 LayerNorm((3072,), eps=1e-06, elementwise_affine=False)
- lowvram: loaded module regularly diffusion_model.double_blocks.6.img_norm2 LayerNorm((3072,), eps=1e-06, elementwise_affine=False)
- lowvram: loaded module regularly diffusion_model.double_blocks.6.img_norm1 LayerNorm((3072,), eps=1e-06, elementwise_affine=False)
- lowvram: loaded module regularly diffusion_model.double_blocks.5.txt_norm2 LayerNorm((3072,), eps=1e-06, elementwise_affine=False)
- lowvram: loaded module regularly diffusion_model.double_blocks.5.txt_norm1 LayerNorm((3072,), eps=1e-06, elementwise_affine=False)
- lowvram: loaded module regularly diffusion_model.double_blocks.5.img_norm2 LayerNorm((3072,), eps=1e-06, elementwise_affine=False)
- lowvram: loaded module regularly diffusion_model.double_blocks.5.img_norm1 LayerNorm((3072,), eps=1e-06, elementwise_affine=False)
- lowvram: loaded module regularly diffusion_model.double_blocks.4.txt_norm2 LayerNorm((3072,), eps=1e-06, elementwise_affine=False)
- lowvram: loaded module regularly diffusion_model.double_blocks.4.txt_norm1 LayerNorm((3072,), eps=1e-06, elementwise_affine=False)
- lowvram: loaded module regularly diffusion_model.double_blocks.4.img_norm2 LayerNorm((3072,), eps=1e-06, elementwise_affine=False)
- lowvram: loaded module regularly diffusion_model.double_blocks.4.img_norm1 LayerNorm((3072,), eps=1e-06, elementwise_affine=False)
- lowvram: loaded module regularly diffusion_model.double_blocks.3.txt_norm2 LayerNorm((3072,), eps=1e-06, elementwise_affine=False)
- lowvram: loaded module regularly diffusion_model.double_blocks.3.txt_norm1 LayerNorm((3072,), eps=1e-06, elementwise_affine=False)
- lowvram: loaded module regularly diffusion_model.double_blocks.3.img_norm2 LayerNorm((3072,), eps=1e-06, elementwise_affine=False)
- lowvram: loaded module regularly diffusion_model.double_blocks.3.img_norm1 LayerNorm((3072,), eps=1e-06, elementwise_affine=False)
- lowvram: loaded module regularly diffusion_model.double_blocks.2.txt_norm2 LayerNorm((3072,), eps=1e-06, elementwise_affine=False)
- lowvram: loaded module regularly diffusion_model.double_blocks.2.txt_norm1 LayerNorm((3072,), eps=1e-06, elementwise_affine=False)
- lowvram: loaded module regularly diffusion_model.double_blocks.2.img_norm2 LayerNorm((3072,), eps=1e-06, elementwise_affine=False)
- lowvram: loaded module regularly diffusion_model.double_blocks.2.img_norm1 LayerNorm((3072,), eps=1e-06, elementwise_affine=False)
- lowvram: loaded module regularly diffusion_model.double_blocks.18.txt_norm2 LayerNorm((3072,), eps=1e-06, elementwise_affine=False)
- lowvram: loaded module regularly diffusion_model.double_blocks.18.txt_norm1 LayerNorm((3072,), eps=1e-06, elementwise_affine=False)
- lowvram: loaded module regularly diffusion_model.double_blocks.18.img_norm2 LayerNorm((3072,), eps=1e-06, elementwise_affine=False)
- lowvram: loaded module regularly diffusion_model.double_blocks.18.img_norm1 LayerNorm((3072,), eps=1e-06, elementwise_affine=False)
- lowvram: loaded module regularly diffusion_model.double_blocks.17.txt_norm2 LayerNorm((3072,), eps=1e-06, elementwise_affine=False)
- lowvram: loaded module regularly diffusion_model.double_blocks.17.txt_norm1 LayerNorm((3072,), eps=1e-06, elementwise_affine=False)
- lowvram: loaded module regularly diffusion_model.double_blocks.17.img_norm2 LayerNorm((3072,), eps=1e-06, elementwise_affine=False)
- lowvram: loaded module regularly diffusion_model.double_blocks.17.img_norm1 LayerNorm((3072,), eps=1e-06, elementwise_affine=False)
- lowvram: loaded module regularly diffusion_model.double_blocks.16.txt_norm2 LayerNorm((3072,), eps=1e-06, elementwise_affine=False)
- lowvram: loaded module regularly diffusion_model.double_blocks.16.txt_norm1 LayerNorm((3072,), eps=1e-06, elementwise_affine=False)
- lowvram: loaded module regularly diffusion_model.double_blocks.16.img_norm2 LayerNorm((3072,), eps=1e-06, elementwise_affine=False)
- lowvram: loaded module regularly diffusion_model.double_blocks.16.img_norm1 LayerNorm((3072,), eps=1e-06, elementwise_affine=False)
- lowvram: loaded module regularly diffusion_model.double_blocks.15.txt_norm2 LayerNorm((3072,), eps=1e-06, elementwise_affine=False)
- lowvram: loaded module regularly diffusion_model.double_blocks.15.txt_norm1 LayerNorm((3072,), eps=1e-06, elementwise_affine=False)
- lowvram: loaded module regularly diffusion_model.double_blocks.15.img_norm2 LayerNorm((3072,), eps=1e-06, elementwise_affine=False)
- lowvram: loaded module regularly diffusion_model.double_blocks.15.img_norm1 LayerNorm((3072,), eps=1e-06, elementwise_affine=False)
- lowvram: loaded module regularly diffusion_model.double_blocks.14.txt_norm2 LayerNorm((3072,), eps=1e-06, elementwise_affine=False)
- lowvram: loaded module regularly diffusion_model.double_blocks.14.txt_norm1 LayerNorm((3072,), eps=1e-06, elementwise_affine=False)
- lowvram: loaded module regularly diffusion_model.double_blocks.14.img_norm2 LayerNorm((3072,), eps=1e-06, elementwise_affine=False)
- lowvram: loaded module regularly diffusion_model.double_blocks.14.img_norm1 LayerNorm((3072,), eps=1e-06, elementwise_affine=False)
- lowvram: loaded module regularly diffusion_model.double_blocks.13.txt_norm2 LayerNorm((3072,), eps=1e-06, elementwise_affine=False)
- lowvram: loaded module regularly diffusion_model.double_blocks.13.txt_norm1 LayerNorm((3072,), eps=1e-06, elementwise_affine=False)
- lowvram: loaded module regularly diffusion_model.double_blocks.13.img_norm2 LayerNorm((3072,), eps=1e-06, elementwise_affine=False)
- lowvram: loaded module regularly diffusion_model.double_blocks.13.img_norm1 LayerNorm((3072,), eps=1e-06, elementwise_affine=False)
- lowvram: loaded module regularly diffusion_model.double_blocks.12.txt_norm2 LayerNorm((3072,), eps=1e-06, elementwise_affine=False)
- lowvram: loaded module regularly diffusion_model.double_blocks.12.txt_norm1 LayerNorm((3072,), eps=1e-06, elementwise_affine=False)
- lowvram: loaded module regularly diffusion_model.double_blocks.12.img_norm2 LayerNorm((3072,), eps=1e-06, elementwise_affine=False)
- lowvram: loaded module regularly diffusion_model.double_blocks.12.img_norm1 LayerNorm((3072,), eps=1e-06, elementwise_affine=False)
- lowvram: loaded module regularly diffusion_model.double_blocks.11.txt_norm2 LayerNorm((3072,), eps=1e-06, elementwise_affine=False)
- lowvram: loaded module regularly diffusion_model.double_blocks.11.txt_norm1 LayerNorm((3072,), eps=1e-06, elementwise_affine=False)
- lowvram: loaded module regularly diffusion_model.double_blocks.11.img_norm2 LayerNorm((3072,), eps=1e-06, elementwise_affine=False)
- lowvram: loaded module regularly diffusion_model.double_blocks.11.img_norm1 LayerNorm((3072,), eps=1e-06, elementwise_affine=False)
- lowvram: loaded module regularly diffusion_model.double_blocks.10.txt_norm2 LayerNorm((3072,), eps=1e-06, elementwise_affine=False)
- lowvram: loaded module regularly diffusion_model.double_blocks.10.txt_norm1 LayerNorm((3072,), eps=1e-06, elementwise_affine=False)
- lowvram: loaded module regularly diffusion_model.double_blocks.10.img_norm2 LayerNorm((3072,), eps=1e-06, elementwise_affine=False)
- lowvram: loaded module regularly diffusion_model.double_blocks.10.img_norm1 LayerNorm((3072,), eps=1e-06, elementwise_affine=False)
- lowvram: loaded module regularly diffusion_model.double_blocks.1.txt_norm2 LayerNorm((3072,), eps=1e-06, elementwise_affine=False)
- lowvram: loaded module regularly diffusion_model.double_blocks.1.txt_norm1 LayerNorm((3072,), eps=1e-06, elementwise_affine=False)
- lowvram: loaded module regularly diffusion_model.double_blocks.1.img_norm2 LayerNorm((3072,), eps=1e-06, elementwise_affine=False)
- lowvram: loaded module regularly diffusion_model.double_blocks.1.img_norm1 LayerNorm((3072,), eps=1e-06, elementwise_affine=False)
- lowvram: loaded module regularly diffusion_model.double_blocks.0.txt_norm2 LayerNorm((3072,), eps=1e-06, elementwise_affine=False)
- lowvram: loaded module regularly diffusion_model.double_blocks.0.txt_norm1 LayerNorm((3072,), eps=1e-06, elementwise_affine=False)
- lowvram: loaded module regularly diffusion_model.double_blocks.0.img_norm2 LayerNorm((3072,), eps=1e-06, elementwise_affine=False)
- lowvram: loaded module regularly diffusion_model.double_blocks.0.img_norm1 LayerNorm((3072,), eps=1e-06, elementwise_affine=False)
- loaded completely 0.0 11350.048889160156 True
- Requested to load FluxClipModel_
- Loading 1 new model
- lowvram: loaded module regularly t5xxl.transformer.shared Embedding(32128, 4096)
- lowvram: loaded module regularly clip_l.transformer.text_model.embeddings.token_embedding Embedding(49408, 768)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.9.layer.1.DenseReluDense.wo Linear(in_features=10240, out_features=4096, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.9.layer.1.DenseReluDense.wi_1 Linear(in_features=4096, out_features=10240, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.9.layer.1.DenseReluDense.wi_0 Linear(in_features=4096, out_features=10240, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.8.layer.1.DenseReluDense.wo Linear(in_features=10240, out_features=4096, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.8.layer.1.DenseReluDense.wi_1 Linear(in_features=4096, out_features=10240, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.8.layer.1.DenseReluDense.wi_0 Linear(in_features=4096, out_features=10240, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.7.layer.1.DenseReluDense.wo Linear(in_features=10240, out_features=4096, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.7.layer.1.DenseReluDense.wi_1 Linear(in_features=4096, out_features=10240, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.7.layer.1.DenseReluDense.wi_0 Linear(in_features=4096, out_features=10240, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.6.layer.1.DenseReluDense.wo Linear(in_features=10240, out_features=4096, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.6.layer.1.DenseReluDense.wi_1 Linear(in_features=4096, out_features=10240, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.6.layer.1.DenseReluDense.wi_0 Linear(in_features=4096, out_features=10240, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.5.layer.1.DenseReluDense.wo Linear(in_features=10240, out_features=4096, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.5.layer.1.DenseReluDense.wi_1 Linear(in_features=4096, out_features=10240, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.5.layer.1.DenseReluDense.wi_0 Linear(in_features=4096, out_features=10240, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.4.layer.1.DenseReluDense.wo Linear(in_features=10240, out_features=4096, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.4.layer.1.DenseReluDense.wi_1 Linear(in_features=4096, out_features=10240, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.4.layer.1.DenseReluDense.wi_0 Linear(in_features=4096, out_features=10240, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.3.layer.1.DenseReluDense.wo Linear(in_features=10240, out_features=4096, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.3.layer.1.DenseReluDense.wi_1 Linear(in_features=4096, out_features=10240, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.3.layer.1.DenseReluDense.wi_0 Linear(in_features=4096, out_features=10240, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.23.layer.1.DenseReluDense.wo Linear(in_features=10240, out_features=4096, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.23.layer.1.DenseReluDense.wi_1 Linear(in_features=4096, out_features=10240, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.23.layer.1.DenseReluDense.wi_0 Linear(in_features=4096, out_features=10240, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.22.layer.1.DenseReluDense.wo Linear(in_features=10240, out_features=4096, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.22.layer.1.DenseReluDense.wi_1 Linear(in_features=4096, out_features=10240, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.22.layer.1.DenseReluDense.wi_0 Linear(in_features=4096, out_features=10240, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.21.layer.1.DenseReluDense.wo Linear(in_features=10240, out_features=4096, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.21.layer.1.DenseReluDense.wi_1 Linear(in_features=4096, out_features=10240, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.21.layer.1.DenseReluDense.wi_0 Linear(in_features=4096, out_features=10240, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.20.layer.1.DenseReluDense.wo Linear(in_features=10240, out_features=4096, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.20.layer.1.DenseReluDense.wi_1 Linear(in_features=4096, out_features=10240, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.20.layer.1.DenseReluDense.wi_0 Linear(in_features=4096, out_features=10240, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.2.layer.1.DenseReluDense.wo Linear(in_features=10240, out_features=4096, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.2.layer.1.DenseReluDense.wi_1 Linear(in_features=4096, out_features=10240, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.2.layer.1.DenseReluDense.wi_0 Linear(in_features=4096, out_features=10240, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.19.layer.1.DenseReluDense.wo Linear(in_features=10240, out_features=4096, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.19.layer.1.DenseReluDense.wi_1 Linear(in_features=4096, out_features=10240, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.19.layer.1.DenseReluDense.wi_0 Linear(in_features=4096, out_features=10240, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.18.layer.1.DenseReluDense.wo Linear(in_features=10240, out_features=4096, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.18.layer.1.DenseReluDense.wi_1 Linear(in_features=4096, out_features=10240, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.18.layer.1.DenseReluDense.wi_0 Linear(in_features=4096, out_features=10240, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.17.layer.1.DenseReluDense.wo Linear(in_features=10240, out_features=4096, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.17.layer.1.DenseReluDense.wi_1 Linear(in_features=4096, out_features=10240, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.17.layer.1.DenseReluDense.wi_0 Linear(in_features=4096, out_features=10240, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.16.layer.1.DenseReluDense.wo Linear(in_features=10240, out_features=4096, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.16.layer.1.DenseReluDense.wi_1 Linear(in_features=4096, out_features=10240, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.16.layer.1.DenseReluDense.wi_0 Linear(in_features=4096, out_features=10240, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.15.layer.1.DenseReluDense.wo Linear(in_features=10240, out_features=4096, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.15.layer.1.DenseReluDense.wi_1 Linear(in_features=4096, out_features=10240, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.15.layer.1.DenseReluDense.wi_0 Linear(in_features=4096, out_features=10240, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.14.layer.1.DenseReluDense.wo Linear(in_features=10240, out_features=4096, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.14.layer.1.DenseReluDense.wi_1 Linear(in_features=4096, out_features=10240, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.14.layer.1.DenseReluDense.wi_0 Linear(in_features=4096, out_features=10240, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.13.layer.1.DenseReluDense.wo Linear(in_features=10240, out_features=4096, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.13.layer.1.DenseReluDense.wi_1 Linear(in_features=4096, out_features=10240, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.13.layer.1.DenseReluDense.wi_0 Linear(in_features=4096, out_features=10240, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.12.layer.1.DenseReluDense.wo Linear(in_features=10240, out_features=4096, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.12.layer.1.DenseReluDense.wi_1 Linear(in_features=4096, out_features=10240, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.12.layer.1.DenseReluDense.wi_0 Linear(in_features=4096, out_features=10240, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.11.layer.1.DenseReluDense.wo Linear(in_features=10240, out_features=4096, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.11.layer.1.DenseReluDense.wi_1 Linear(in_features=4096, out_features=10240, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.11.layer.1.DenseReluDense.wi_0 Linear(in_features=4096, out_features=10240, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.10.layer.1.DenseReluDense.wo Linear(in_features=10240, out_features=4096, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.10.layer.1.DenseReluDense.wi_1 Linear(in_features=4096, out_features=10240, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.10.layer.1.DenseReluDense.wi_0 Linear(in_features=4096, out_features=10240, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.1.layer.1.DenseReluDense.wo Linear(in_features=10240, out_features=4096, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.1.layer.1.DenseReluDense.wi_1 Linear(in_features=4096, out_features=10240, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.1.layer.1.DenseReluDense.wi_0 Linear(in_features=4096, out_features=10240, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.0.layer.1.DenseReluDense.wo Linear(in_features=10240, out_features=4096, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.0.layer.1.DenseReluDense.wi_1 Linear(in_features=4096, out_features=10240, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.0.layer.1.DenseReluDense.wi_0 Linear(in_features=4096, out_features=10240, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.9.layer.0.SelfAttention.v Linear(in_features=4096, out_features=4096, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.9.layer.0.SelfAttention.q Linear(in_features=4096, out_features=4096, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.9.layer.0.SelfAttention.o Linear(in_features=4096, out_features=4096, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.9.layer.0.SelfAttention.k Linear(in_features=4096, out_features=4096, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.8.layer.0.SelfAttention.v Linear(in_features=4096, out_features=4096, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.8.layer.0.SelfAttention.q Linear(in_features=4096, out_features=4096, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.8.layer.0.SelfAttention.o Linear(in_features=4096, out_features=4096, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.8.layer.0.SelfAttention.k Linear(in_features=4096, out_features=4096, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.7.layer.0.SelfAttention.v Linear(in_features=4096, out_features=4096, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.7.layer.0.SelfAttention.q Linear(in_features=4096, out_features=4096, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.7.layer.0.SelfAttention.o Linear(in_features=4096, out_features=4096, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.7.layer.0.SelfAttention.k Linear(in_features=4096, out_features=4096, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.6.layer.0.SelfAttention.v Linear(in_features=4096, out_features=4096, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.6.layer.0.SelfAttention.q Linear(in_features=4096, out_features=4096, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.6.layer.0.SelfAttention.o Linear(in_features=4096, out_features=4096, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.6.layer.0.SelfAttention.k Linear(in_features=4096, out_features=4096, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.5.layer.0.SelfAttention.v Linear(in_features=4096, out_features=4096, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.5.layer.0.SelfAttention.q Linear(in_features=4096, out_features=4096, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.5.layer.0.SelfAttention.o Linear(in_features=4096, out_features=4096, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.5.layer.0.SelfAttention.k Linear(in_features=4096, out_features=4096, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.4.layer.0.SelfAttention.v Linear(in_features=4096, out_features=4096, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.4.layer.0.SelfAttention.q Linear(in_features=4096, out_features=4096, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.4.layer.0.SelfAttention.o Linear(in_features=4096, out_features=4096, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.4.layer.0.SelfAttention.k Linear(in_features=4096, out_features=4096, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.3.layer.0.SelfAttention.v Linear(in_features=4096, out_features=4096, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.3.layer.0.SelfAttention.q Linear(in_features=4096, out_features=4096, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.3.layer.0.SelfAttention.o Linear(in_features=4096, out_features=4096, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.3.layer.0.SelfAttention.k Linear(in_features=4096, out_features=4096, bias=False)
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- lowvram: loaded module regularly t5xxl.transformer.encoder.block.23.layer.0.SelfAttention.q Linear(in_features=4096, out_features=4096, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.23.layer.0.SelfAttention.o Linear(in_features=4096, out_features=4096, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.23.layer.0.SelfAttention.k Linear(in_features=4096, out_features=4096, bias=False)
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- lowvram: loaded module regularly t5xxl.transformer.encoder.block.22.layer.0.SelfAttention.k Linear(in_features=4096, out_features=4096, bias=False)
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- lowvram: loaded module regularly t5xxl.transformer.encoder.block.21.layer.0.SelfAttention.k Linear(in_features=4096, out_features=4096, bias=False)
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- lowvram: loaded module regularly t5xxl.transformer.encoder.block.20.layer.0.SelfAttention.o Linear(in_features=4096, out_features=4096, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.20.layer.0.SelfAttention.k Linear(in_features=4096, out_features=4096, bias=False)
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- lowvram: loaded module regularly t5xxl.transformer.encoder.block.2.layer.0.SelfAttention.k Linear(in_features=4096, out_features=4096, bias=False)
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- lowvram: loaded module regularly t5xxl.transformer.encoder.block.19.layer.0.SelfAttention.o Linear(in_features=4096, out_features=4096, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.19.layer.0.SelfAttention.k Linear(in_features=4096, out_features=4096, bias=False)
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- lowvram: loaded module regularly t5xxl.transformer.encoder.block.18.layer.0.SelfAttention.o Linear(in_features=4096, out_features=4096, bias=False)
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- lowvram: loaded module regularly t5xxl.transformer.encoder.block.17.layer.0.SelfAttention.v Linear(in_features=4096, out_features=4096, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.17.layer.0.SelfAttention.q Linear(in_features=4096, out_features=4096, bias=False)
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- lowvram: loaded module regularly t5xxl.transformer.encoder.block.17.layer.0.SelfAttention.k Linear(in_features=4096, out_features=4096, bias=False)
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- lowvram: loaded module regularly t5xxl.transformer.encoder.block.16.layer.0.SelfAttention.k Linear(in_features=4096, out_features=4096, bias=False)
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- lowvram: loaded module regularly t5xxl.transformer.encoder.block.14.layer.0.SelfAttention.o Linear(in_features=4096, out_features=4096, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.14.layer.0.SelfAttention.k Linear(in_features=4096, out_features=4096, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.13.layer.0.SelfAttention.v Linear(in_features=4096, out_features=4096, bias=False)
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- lowvram: loaded module regularly t5xxl.transformer.encoder.block.13.layer.0.SelfAttention.o Linear(in_features=4096, out_features=4096, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.13.layer.0.SelfAttention.k Linear(in_features=4096, out_features=4096, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.12.layer.0.SelfAttention.v Linear(in_features=4096, out_features=4096, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.12.layer.0.SelfAttention.q Linear(in_features=4096, out_features=4096, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.12.layer.0.SelfAttention.o Linear(in_features=4096, out_features=4096, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.12.layer.0.SelfAttention.k Linear(in_features=4096, out_features=4096, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.11.layer.0.SelfAttention.v Linear(in_features=4096, out_features=4096, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.11.layer.0.SelfAttention.q Linear(in_features=4096, out_features=4096, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.11.layer.0.SelfAttention.o Linear(in_features=4096, out_features=4096, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.11.layer.0.SelfAttention.k Linear(in_features=4096, out_features=4096, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.10.layer.0.SelfAttention.v Linear(in_features=4096, out_features=4096, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.10.layer.0.SelfAttention.q Linear(in_features=4096, out_features=4096, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.10.layer.0.SelfAttention.o Linear(in_features=4096, out_features=4096, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.10.layer.0.SelfAttention.k Linear(in_features=4096, out_features=4096, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.1.layer.0.SelfAttention.v Linear(in_features=4096, out_features=4096, bias=False)
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- lowvram: loaded module regularly t5xxl.transformer.encoder.block.1.layer.0.SelfAttention.o Linear(in_features=4096, out_features=4096, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.1.layer.0.SelfAttention.k Linear(in_features=4096, out_features=4096, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.0.layer.0.SelfAttention.v Linear(in_features=4096, out_features=4096, bias=False)
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- lowvram: loaded module regularly t5xxl.transformer.encoder.block.0.layer.0.SelfAttention.o Linear(in_features=4096, out_features=4096, bias=False)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.0.layer.0.SelfAttention.k Linear(in_features=4096, out_features=4096, bias=False)
- lowvram: loaded module regularly clip_l.transformer.text_model.encoder.layers.9.mlp.fc1 Linear(in_features=768, out_features=3072, bias=True)
- lowvram: loaded module regularly clip_l.transformer.text_model.encoder.layers.8.mlp.fc1 Linear(in_features=768, out_features=3072, bias=True)
- lowvram: loaded module regularly clip_l.transformer.text_model.encoder.layers.7.mlp.fc1 Linear(in_features=768, out_features=3072, bias=True)
- lowvram: loaded module regularly clip_l.transformer.text_model.encoder.layers.6.mlp.fc1 Linear(in_features=768, out_features=3072, bias=True)
- lowvram: loaded module regularly clip_l.transformer.text_model.encoder.layers.5.mlp.fc1 Linear(in_features=768, out_features=3072, bias=True)
- lowvram: loaded module regularly clip_l.transformer.text_model.encoder.layers.4.mlp.fc1 Linear(in_features=768, out_features=3072, bias=True)
- lowvram: loaded module regularly clip_l.transformer.text_model.encoder.layers.3.mlp.fc1 Linear(in_features=768, out_features=3072, bias=True)
- lowvram: loaded module regularly clip_l.transformer.text_model.encoder.layers.2.mlp.fc1 Linear(in_features=768, out_features=3072, bias=True)
- lowvram: loaded module regularly clip_l.transformer.text_model.encoder.layers.11.mlp.fc1 Linear(in_features=768, out_features=3072, bias=True)
- lowvram: loaded module regularly clip_l.transformer.text_model.encoder.layers.10.mlp.fc1 Linear(in_features=768, out_features=3072, bias=True)
- lowvram: loaded module regularly clip_l.transformer.text_model.encoder.layers.1.mlp.fc1 Linear(in_features=768, out_features=3072, bias=True)
- lowvram: loaded module regularly clip_l.transformer.text_model.encoder.layers.0.mlp.fc1 Linear(in_features=768, out_features=3072, bias=True)
- lowvram: loaded module regularly clip_l.transformer.text_model.encoder.layers.9.mlp.fc2 Linear(in_features=3072, out_features=768, bias=True)
- lowvram: loaded module regularly clip_l.transformer.text_model.encoder.layers.8.mlp.fc2 Linear(in_features=3072, out_features=768, bias=True)
- lowvram: loaded module regularly clip_l.transformer.text_model.encoder.layers.7.mlp.fc2 Linear(in_features=3072, out_features=768, bias=True)
- lowvram: loaded module regularly clip_l.transformer.text_model.encoder.layers.6.mlp.fc2 Linear(in_features=3072, out_features=768, bias=True)
- lowvram: loaded module regularly clip_l.transformer.text_model.encoder.layers.5.mlp.fc2 Linear(in_features=3072, out_features=768, bias=True)
- lowvram: loaded module regularly clip_l.transformer.text_model.encoder.layers.4.mlp.fc2 Linear(in_features=3072, out_features=768, bias=True)
- lowvram: loaded module regularly clip_l.transformer.text_model.encoder.layers.3.mlp.fc2 Linear(in_features=3072, out_features=768, bias=True)
- lowvram: loaded module regularly clip_l.transformer.text_model.encoder.layers.2.mlp.fc2 Linear(in_features=3072, out_features=768, bias=True)
- lowvram: loaded module regularly clip_l.transformer.text_model.encoder.layers.11.mlp.fc2 Linear(in_features=3072, out_features=768, bias=True)
- lowvram: loaded module regularly clip_l.transformer.text_model.encoder.layers.10.mlp.fc2 Linear(in_features=3072, out_features=768, bias=True)
- lowvram: loaded module regularly clip_l.transformer.text_model.encoder.layers.1.mlp.fc2 Linear(in_features=3072, out_features=768, bias=True)
- lowvram: loaded module regularly clip_l.transformer.text_model.encoder.layers.0.mlp.fc2 Linear(in_features=3072, out_features=768, bias=True)
- lowvram: loaded module regularly clip_l.transformer.text_model.encoder.layers.9.self_attn.v_proj Linear(in_features=768, out_features=768, bias=True)
- lowvram: loaded module regularly clip_l.transformer.text_model.encoder.layers.9.self_attn.q_proj Linear(in_features=768, out_features=768, bias=True)
- lowvram: loaded module regularly clip_l.transformer.text_model.encoder.layers.9.self_attn.out_proj Linear(in_features=768, out_features=768, bias=True)
- lowvram: loaded module regularly clip_l.transformer.text_model.encoder.layers.9.self_attn.k_proj Linear(in_features=768, out_features=768, bias=True)
- lowvram: loaded module regularly clip_l.transformer.text_model.encoder.layers.8.self_attn.v_proj Linear(in_features=768, out_features=768, bias=True)
- lowvram: loaded module regularly clip_l.transformer.text_model.encoder.layers.8.self_attn.q_proj Linear(in_features=768, out_features=768, bias=True)
- lowvram: loaded module regularly clip_l.transformer.text_model.encoder.layers.8.self_attn.out_proj Linear(in_features=768, out_features=768, bias=True)
- lowvram: loaded module regularly clip_l.transformer.text_model.encoder.layers.8.self_attn.k_proj Linear(in_features=768, out_features=768, bias=True)
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- lowvram: loaded module regularly clip_l.transformer.text_model.encoder.layers.7.self_attn.q_proj Linear(in_features=768, out_features=768, bias=True)
- lowvram: loaded module regularly clip_l.transformer.text_model.encoder.layers.7.self_attn.out_proj Linear(in_features=768, out_features=768, bias=True)
- lowvram: loaded module regularly clip_l.transformer.text_model.encoder.layers.7.self_attn.k_proj Linear(in_features=768, out_features=768, bias=True)
- lowvram: loaded module regularly clip_l.transformer.text_model.encoder.layers.6.self_attn.v_proj Linear(in_features=768, out_features=768, bias=True)
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- lowvram: loaded module regularly clip_l.transformer.text_model.encoder.layers.6.self_attn.out_proj Linear(in_features=768, out_features=768, bias=True)
- lowvram: loaded module regularly clip_l.transformer.text_model.encoder.layers.6.self_attn.k_proj Linear(in_features=768, out_features=768, bias=True)
- lowvram: loaded module regularly clip_l.transformer.text_model.encoder.layers.5.self_attn.v_proj Linear(in_features=768, out_features=768, bias=True)
- lowvram: loaded module regularly clip_l.transformer.text_model.encoder.layers.5.self_attn.q_proj Linear(in_features=768, out_features=768, bias=True)
- lowvram: loaded module regularly clip_l.transformer.text_model.encoder.layers.5.self_attn.out_proj Linear(in_features=768, out_features=768, bias=True)
- lowvram: loaded module regularly clip_l.transformer.text_model.encoder.layers.5.self_attn.k_proj Linear(in_features=768, out_features=768, bias=True)
- lowvram: loaded module regularly clip_l.transformer.text_model.encoder.layers.4.self_attn.v_proj Linear(in_features=768, out_features=768, bias=True)
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- lowvram: loaded module regularly clip_l.transformer.text_model.encoder.layers.4.self_attn.k_proj Linear(in_features=768, out_features=768, bias=True)
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- lowvram: loaded module regularly clip_l.transformer.text_model.encoder.layers.2.self_attn.out_proj Linear(in_features=768, out_features=768, bias=True)
- lowvram: loaded module regularly clip_l.transformer.text_model.encoder.layers.2.self_attn.k_proj Linear(in_features=768, out_features=768, bias=True)
- lowvram: loaded module regularly clip_l.transformer.text_model.encoder.layers.11.self_attn.v_proj Linear(in_features=768, out_features=768, bias=True)
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- lowvram: loaded module regularly clip_l.transformer.text_model.encoder.layers.10.self_attn.v_proj Linear(in_features=768, out_features=768, bias=True)
- lowvram: loaded module regularly clip_l.transformer.text_model.encoder.layers.10.self_attn.q_proj Linear(in_features=768, out_features=768, bias=True)
- lowvram: loaded module regularly clip_l.transformer.text_model.encoder.layers.10.self_attn.out_proj Linear(in_features=768, out_features=768, bias=True)
- lowvram: loaded module regularly clip_l.transformer.text_model.encoder.layers.10.self_attn.k_proj Linear(in_features=768, out_features=768, bias=True)
- lowvram: loaded module regularly clip_l.transformer.text_model.encoder.layers.1.self_attn.v_proj Linear(in_features=768, out_features=768, bias=True)
- lowvram: loaded module regularly clip_l.transformer.text_model.encoder.layers.1.self_attn.q_proj Linear(in_features=768, out_features=768, bias=True)
- lowvram: loaded module regularly clip_l.transformer.text_model.encoder.layers.1.self_attn.out_proj Linear(in_features=768, out_features=768, bias=True)
- lowvram: loaded module regularly clip_l.transformer.text_model.encoder.layers.1.self_attn.k_proj Linear(in_features=768, out_features=768, bias=True)
- lowvram: loaded module regularly clip_l.transformer.text_model.encoder.layers.0.self_attn.v_proj Linear(in_features=768, out_features=768, bias=True)
- lowvram: loaded module regularly clip_l.transformer.text_model.encoder.layers.0.self_attn.q_proj Linear(in_features=768, out_features=768, bias=True)
- lowvram: loaded module regularly clip_l.transformer.text_model.encoder.layers.0.self_attn.out_proj Linear(in_features=768, out_features=768, bias=True)
- lowvram: loaded module regularly clip_l.transformer.text_model.encoder.layers.0.self_attn.k_proj Linear(in_features=768, out_features=768, bias=True)
- lowvram: loaded module regularly clip_l.transformer.text_projection Linear(in_features=768, out_features=768, bias=False)
- lowvram: loaded module regularly clip_l.transformer.text_model.embeddings.position_embedding Embedding(77, 768)
- lowvram: loaded module regularly t5xxl.transformer.encoder.final_layer_norm T5LayerNorm()
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.9.layer.1.layer_norm T5LayerNorm()
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.9.layer.0.layer_norm T5LayerNorm()
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.8.layer.1.layer_norm T5LayerNorm()
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.8.layer.0.layer_norm T5LayerNorm()
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.7.layer.1.layer_norm T5LayerNorm()
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.7.layer.0.layer_norm T5LayerNorm()
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.6.layer.1.layer_norm T5LayerNorm()
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.6.layer.0.layer_norm T5LayerNorm()
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.5.layer.1.layer_norm T5LayerNorm()
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.5.layer.0.layer_norm T5LayerNorm()
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.4.layer.1.layer_norm T5LayerNorm()
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.4.layer.0.layer_norm T5LayerNorm()
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.3.layer.1.layer_norm T5LayerNorm()
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.3.layer.0.layer_norm T5LayerNorm()
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.23.layer.1.layer_norm T5LayerNorm()
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.23.layer.0.layer_norm T5LayerNorm()
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.22.layer.1.layer_norm T5LayerNorm()
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.22.layer.0.layer_norm T5LayerNorm()
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.21.layer.1.layer_norm T5LayerNorm()
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.21.layer.0.layer_norm T5LayerNorm()
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.20.layer.1.layer_norm T5LayerNorm()
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.20.layer.0.layer_norm T5LayerNorm()
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.2.layer.1.layer_norm T5LayerNorm()
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.2.layer.0.layer_norm T5LayerNorm()
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.19.layer.1.layer_norm T5LayerNorm()
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.19.layer.0.layer_norm T5LayerNorm()
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.18.layer.1.layer_norm T5LayerNorm()
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.18.layer.0.layer_norm T5LayerNorm()
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.17.layer.1.layer_norm T5LayerNorm()
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.17.layer.0.layer_norm T5LayerNorm()
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.16.layer.1.layer_norm T5LayerNorm()
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.16.layer.0.layer_norm T5LayerNorm()
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.15.layer.1.layer_norm T5LayerNorm()
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.15.layer.0.layer_norm T5LayerNorm()
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.14.layer.1.layer_norm T5LayerNorm()
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.14.layer.0.layer_norm T5LayerNorm()
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.13.layer.1.layer_norm T5LayerNorm()
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.13.layer.0.layer_norm T5LayerNorm()
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.12.layer.1.layer_norm T5LayerNorm()
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.12.layer.0.layer_norm T5LayerNorm()
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.11.layer.1.layer_norm T5LayerNorm()
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.11.layer.0.layer_norm T5LayerNorm()
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.10.layer.1.layer_norm T5LayerNorm()
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.10.layer.0.layer_norm T5LayerNorm()
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.1.layer.1.layer_norm T5LayerNorm()
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.1.layer.0.layer_norm T5LayerNorm()
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.0.layer.1.layer_norm T5LayerNorm()
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.0.layer.0.layer_norm T5LayerNorm()
- lowvram: loaded module regularly clip_l.transformer.text_model.final_layer_norm LayerNorm((768,), eps=1e-05, elementwise_affine=True)
- lowvram: loaded module regularly clip_l.transformer.text_model.encoder.layers.9.layer_norm2 LayerNorm((768,), eps=1e-05, elementwise_affine=True)
- lowvram: loaded module regularly clip_l.transformer.text_model.encoder.layers.9.layer_norm1 LayerNorm((768,), eps=1e-05, elementwise_affine=True)
- lowvram: loaded module regularly clip_l.transformer.text_model.encoder.layers.8.layer_norm2 LayerNorm((768,), eps=1e-05, elementwise_affine=True)
- lowvram: loaded module regularly clip_l.transformer.text_model.encoder.layers.8.layer_norm1 LayerNorm((768,), eps=1e-05, elementwise_affine=True)
- lowvram: loaded module regularly clip_l.transformer.text_model.encoder.layers.7.layer_norm2 LayerNorm((768,), eps=1e-05, elementwise_affine=True)
- lowvram: loaded module regularly clip_l.transformer.text_model.encoder.layers.7.layer_norm1 LayerNorm((768,), eps=1e-05, elementwise_affine=True)
- lowvram: loaded module regularly clip_l.transformer.text_model.encoder.layers.6.layer_norm2 LayerNorm((768,), eps=1e-05, elementwise_affine=True)
- lowvram: loaded module regularly clip_l.transformer.text_model.encoder.layers.6.layer_norm1 LayerNorm((768,), eps=1e-05, elementwise_affine=True)
- lowvram: loaded module regularly clip_l.transformer.text_model.encoder.layers.5.layer_norm2 LayerNorm((768,), eps=1e-05, elementwise_affine=True)
- lowvram: loaded module regularly clip_l.transformer.text_model.encoder.layers.5.layer_norm1 LayerNorm((768,), eps=1e-05, elementwise_affine=True)
- lowvram: loaded module regularly clip_l.transformer.text_model.encoder.layers.4.layer_norm2 LayerNorm((768,), eps=1e-05, elementwise_affine=True)
- lowvram: loaded module regularly clip_l.transformer.text_model.encoder.layers.4.layer_norm1 LayerNorm((768,), eps=1e-05, elementwise_affine=True)
- lowvram: loaded module regularly clip_l.transformer.text_model.encoder.layers.3.layer_norm2 LayerNorm((768,), eps=1e-05, elementwise_affine=True)
- lowvram: loaded module regularly clip_l.transformer.text_model.encoder.layers.3.layer_norm1 LayerNorm((768,), eps=1e-05, elementwise_affine=True)
- lowvram: loaded module regularly clip_l.transformer.text_model.encoder.layers.2.layer_norm2 LayerNorm((768,), eps=1e-05, elementwise_affine=True)
- lowvram: loaded module regularly clip_l.transformer.text_model.encoder.layers.2.layer_norm1 LayerNorm((768,), eps=1e-05, elementwise_affine=True)
- lowvram: loaded module regularly clip_l.transformer.text_model.encoder.layers.11.layer_norm2 LayerNorm((768,), eps=1e-05, elementwise_affine=True)
- lowvram: loaded module regularly clip_l.transformer.text_model.encoder.layers.11.layer_norm1 LayerNorm((768,), eps=1e-05, elementwise_affine=True)
- lowvram: loaded module regularly clip_l.transformer.text_model.encoder.layers.10.layer_norm2 LayerNorm((768,), eps=1e-05, elementwise_affine=True)
- lowvram: loaded module regularly clip_l.transformer.text_model.encoder.layers.10.layer_norm1 LayerNorm((768,), eps=1e-05, elementwise_affine=True)
- lowvram: loaded module regularly clip_l.transformer.text_model.encoder.layers.1.layer_norm2 LayerNorm((768,), eps=1e-05, elementwise_affine=True)
- lowvram: loaded module regularly clip_l.transformer.text_model.encoder.layers.1.layer_norm1 LayerNorm((768,), eps=1e-05, elementwise_affine=True)
- lowvram: loaded module regularly clip_l.transformer.text_model.encoder.layers.0.layer_norm2 LayerNorm((768,), eps=1e-05, elementwise_affine=True)
- lowvram: loaded module regularly clip_l.transformer.text_model.encoder.layers.0.layer_norm1 LayerNorm((768,), eps=1e-05, elementwise_affine=True)
- lowvram: loaded module regularly t5xxl.transformer.encoder.block.0.layer.0.SelfAttention.relative_attention_bias Embedding(32, 64)
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- Requested to load AutoencodingEngine
- Loading 1 new model
- lowvram: loaded module regularly encoder.mid.block_2.conv2 Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
- lowvram: loaded module regularly encoder.mid.block_2.conv1 Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
- lowvram: loaded module regularly encoder.mid.block_1.conv2 Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
- lowvram: loaded module regularly encoder.mid.block_1.conv1 Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
- lowvram: loaded module regularly encoder.down.3.block.1.conv2 Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
- lowvram: loaded module regularly encoder.down.3.block.1.conv1 Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
- lowvram: loaded module regularly encoder.down.3.block.0.conv2 Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
- lowvram: loaded module regularly encoder.down.3.block.0.conv1 Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
- lowvram: loaded module regularly encoder.down.2.downsample.conv Conv2d(512, 512, kernel_size=(3, 3), stride=(2, 2))
- lowvram: loaded module regularly encoder.down.2.block.1.conv2 Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
- lowvram: loaded module regularly encoder.down.2.block.1.conv1 Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
- lowvram: loaded module regularly encoder.down.2.block.0.conv2 Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
- lowvram: loaded module regularly decoder.up.3.upsample.conv Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
- lowvram: loaded module regularly decoder.up.3.block.2.conv2 Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
- lowvram: loaded module regularly decoder.up.3.block.2.conv1 Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
- lowvram: loaded module regularly decoder.up.3.block.1.conv2 Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
- lowvram: loaded module regularly decoder.up.3.block.1.conv1 Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
- lowvram: loaded module regularly decoder.up.3.block.0.conv2 Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
- lowvram: loaded module regularly decoder.up.3.block.0.conv1 Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
- lowvram: loaded module regularly decoder.up.2.upsample.conv Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
- lowvram: loaded module regularly decoder.up.2.block.2.conv2 Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
- lowvram: loaded module regularly decoder.up.2.block.2.conv1 Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
- lowvram: loaded module regularly decoder.up.2.block.1.conv2 Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
- lowvram: loaded module regularly decoder.up.2.block.1.conv1 Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
- lowvram: loaded module regularly decoder.up.2.block.0.conv2 Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
- lowvram: loaded module regularly decoder.up.2.block.0.conv1 Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
- lowvram: loaded module regularly decoder.mid.block_2.conv2 Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
- lowvram: loaded module regularly decoder.mid.block_2.conv1 Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
- lowvram: loaded module regularly decoder.mid.block_1.conv2 Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
- lowvram: loaded module regularly decoder.mid.block_1.conv1 Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
- lowvram: loaded module regularly encoder.down.2.block.0.conv1 Conv2d(256, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
- lowvram: loaded module regularly decoder.up.1.block.0.conv1 Conv2d(512, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
- lowvram: loaded module regularly encoder.down.1.downsample.conv Conv2d(256, 256, kernel_size=(3, 3), stride=(2, 2))
- lowvram: loaded module regularly encoder.down.1.block.1.conv2 Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
- lowvram: loaded module regularly encoder.down.1.block.1.conv1 Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
- lowvram: loaded module regularly encoder.down.1.block.0.conv2 Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
- lowvram: loaded module regularly decoder.up.1.upsample.conv Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
- lowvram: loaded module regularly decoder.up.1.block.2.conv2 Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
- lowvram: loaded module regularly decoder.up.1.block.2.conv1 Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
- lowvram: loaded module regularly decoder.up.1.block.1.conv2 Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
- lowvram: loaded module regularly decoder.up.1.block.1.conv1 Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
- lowvram: loaded module regularly decoder.up.1.block.0.conv2 Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
- lowvram: loaded module regularly encoder.down.1.block.0.conv1 Conv2d(128, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
- lowvram: loaded module regularly decoder.up.0.block.0.conv1 Conv2d(256, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
- lowvram: loaded module regularly encoder.mid.attn_1.v Conv2d(512, 512, kernel_size=(1, 1), stride=(1, 1))
- lowvram: loaded module regularly encoder.mid.attn_1.q Conv2d(512, 512, kernel_size=(1, 1), stride=(1, 1))
- lowvram: loaded module regularly encoder.mid.attn_1.proj_out Conv2d(512, 512, kernel_size=(1, 1), stride=(1, 1))
- lowvram: loaded module regularly encoder.mid.attn_1.k Conv2d(512, 512, kernel_size=(1, 1), stride=(1, 1))
- lowvram: loaded module regularly decoder.mid.attn_1.v Conv2d(512, 512, kernel_size=(1, 1), stride=(1, 1))
- lowvram: loaded module regularly decoder.mid.attn_1.q Conv2d(512, 512, kernel_size=(1, 1), stride=(1, 1))
- lowvram: loaded module regularly decoder.mid.attn_1.proj_out Conv2d(512, 512, kernel_size=(1, 1), stride=(1, 1))
- lowvram: loaded module regularly decoder.mid.attn_1.k Conv2d(512, 512, kernel_size=(1, 1), stride=(1, 1))
- lowvram: loaded module regularly encoder.down.0.downsample.conv Conv2d(128, 128, kernel_size=(3, 3), stride=(2, 2))
- lowvram: loaded module regularly encoder.down.0.block.1.conv2 Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
- lowvram: loaded module regularly encoder.down.0.block.1.conv1 Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
- lowvram: loaded module regularly encoder.down.0.block.0.conv2 Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
- lowvram: loaded module regularly encoder.down.0.block.0.conv1 Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
- lowvram: loaded module regularly decoder.up.0.block.2.conv2 Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
- lowvram: loaded module regularly decoder.up.0.block.2.conv1 Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
- lowvram: loaded module regularly decoder.up.0.block.1.conv2 Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
- lowvram: loaded module regularly decoder.up.0.block.1.conv1 Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
- lowvram: loaded module regularly decoder.up.0.block.0.conv2 Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
- lowvram: loaded module regularly encoder.conv_out Conv2d(512, 32, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
- lowvram: loaded module regularly encoder.down.2.block.0.nin_shortcut Conv2d(256, 512, kernel_size=(1, 1), stride=(1, 1))
- lowvram: loaded module regularly decoder.up.1.block.0.nin_shortcut Conv2d(512, 256, kernel_size=(1, 1), stride=(1, 1))
- lowvram: loaded module regularly decoder.conv_in Conv2d(16, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
- lowvram: loaded module regularly encoder.down.1.block.0.nin_shortcut Conv2d(128, 256, kernel_size=(1, 1), stride=(1, 1))
- lowvram: loaded module regularly decoder.up.0.block.0.nin_shortcut Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1))
- lowvram: loaded module regularly encoder.conv_in Conv2d(3, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
- lowvram: loaded module regularly decoder.conv_out Conv2d(128, 3, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
- lowvram: loaded module regularly encoder.norm_out GroupNorm(32, 512, eps=1e-06, affine=True)
- lowvram: loaded module regularly encoder.mid.block_2.norm2 GroupNorm(32, 512, eps=1e-06, affine=True)
- lowvram: loaded module regularly encoder.mid.block_2.norm1 GroupNorm(32, 512, eps=1e-06, affine=True)
- lowvram: loaded module regularly encoder.mid.block_1.norm2 GroupNorm(32, 512, eps=1e-06, affine=True)
- lowvram: loaded module regularly encoder.mid.block_1.norm1 GroupNorm(32, 512, eps=1e-06, affine=True)
- lowvram: loaded module regularly encoder.mid.attn_1.norm GroupNorm(32, 512, eps=1e-06, affine=True)
- lowvram: loaded module regularly encoder.down.3.block.1.norm2 GroupNorm(32, 512, eps=1e-06, affine=True)
- lowvram: loaded module regularly encoder.down.3.block.1.norm1 GroupNorm(32, 512, eps=1e-06, affine=True)
- lowvram: loaded module regularly encoder.down.3.block.0.norm2 GroupNorm(32, 512, eps=1e-06, affine=True)
- lowvram: loaded module regularly encoder.down.3.block.0.norm1 GroupNorm(32, 512, eps=1e-06, affine=True)
- lowvram: loaded module regularly encoder.down.2.block.1.norm2 GroupNorm(32, 512, eps=1e-06, affine=True)
- lowvram: loaded module regularly encoder.down.2.block.1.norm1 GroupNorm(32, 512, eps=1e-06, affine=True)
- lowvram: loaded module regularly encoder.down.2.block.0.norm2 GroupNorm(32, 512, eps=1e-06, affine=True)
- lowvram: loaded module regularly decoder.up.3.block.2.norm2 GroupNorm(32, 512, eps=1e-06, affine=True)
- lowvram: loaded module regularly decoder.up.3.block.2.norm1 GroupNorm(32, 512, eps=1e-06, affine=True)
- lowvram: loaded module regularly decoder.up.3.block.1.norm2 GroupNorm(32, 512, eps=1e-06, affine=True)
- lowvram: loaded module regularly decoder.up.3.block.1.norm1 GroupNorm(32, 512, eps=1e-06, affine=True)
- lowvram: loaded module regularly decoder.up.3.block.0.norm2 GroupNorm(32, 512, eps=1e-06, affine=True)
- lowvram: loaded module regularly decoder.up.3.block.0.norm1 GroupNorm(32, 512, eps=1e-06, affine=True)
- lowvram: loaded module regularly decoder.up.2.block.2.norm2 GroupNorm(32, 512, eps=1e-06, affine=True)
- lowvram: loaded module regularly decoder.up.2.block.2.norm1 GroupNorm(32, 512, eps=1e-06, affine=True)
- lowvram: loaded module regularly decoder.up.2.block.1.norm2 GroupNorm(32, 512, eps=1e-06, affine=True)
- lowvram: loaded module regularly decoder.up.2.block.1.norm1 GroupNorm(32, 512, eps=1e-06, affine=True)
- lowvram: loaded module regularly decoder.up.2.block.0.norm2 GroupNorm(32, 512, eps=1e-06, affine=True)
- lowvram: loaded module regularly decoder.up.2.block.0.norm1 GroupNorm(32, 512, eps=1e-06, affine=True)
- lowvram: loaded module regularly decoder.up.1.block.0.norm1 GroupNorm(32, 512, eps=1e-06, affine=True)
- lowvram: loaded module regularly decoder.mid.block_2.norm2 GroupNorm(32, 512, eps=1e-06, affine=True)
- lowvram: loaded module regularly decoder.mid.block_2.norm1 GroupNorm(32, 512, eps=1e-06, affine=True)
- lowvram: loaded module regularly decoder.mid.block_1.norm2 GroupNorm(32, 512, eps=1e-06, affine=True)
- lowvram: loaded module regularly decoder.mid.block_1.norm1 GroupNorm(32, 512, eps=1e-06, affine=True)
- lowvram: loaded module regularly decoder.mid.attn_1.norm GroupNorm(32, 512, eps=1e-06, affine=True)
- lowvram: loaded module regularly encoder.down.2.block.0.norm1 GroupNorm(32, 256, eps=1e-06, affine=True)
- lowvram: loaded module regularly encoder.down.1.block.1.norm2 GroupNorm(32, 256, eps=1e-06, affine=True)
- lowvram: loaded module regularly encoder.down.1.block.1.norm1 GroupNorm(32, 256, eps=1e-06, affine=True)
- lowvram: loaded module regularly encoder.down.1.block.0.norm2 GroupNorm(32, 256, eps=1e-06, affine=True)
- lowvram: loaded module regularly decoder.up.1.block.2.norm2 GroupNorm(32, 256, eps=1e-06, affine=True)
- lowvram: loaded module regularly decoder.up.1.block.2.norm1 GroupNorm(32, 256, eps=1e-06, affine=True)
- lowvram: loaded module regularly decoder.up.1.block.1.norm2 GroupNorm(32, 256, eps=1e-06, affine=True)
- lowvram: loaded module regularly decoder.up.1.block.1.norm1 GroupNorm(32, 256, eps=1e-06, affine=True)
- lowvram: loaded module regularly decoder.up.1.block.0.norm2 GroupNorm(32, 256, eps=1e-06, affine=True)
- lowvram: loaded module regularly decoder.up.0.block.0.norm1 GroupNorm(32, 256, eps=1e-06, affine=True)
- lowvram: loaded module regularly encoder.down.1.block.0.norm1 GroupNorm(32, 128, eps=1e-06, affine=True)
- lowvram: loaded module regularly encoder.down.0.block.1.norm2 GroupNorm(32, 128, eps=1e-06, affine=True)
- lowvram: loaded module regularly encoder.down.0.block.1.norm1 GroupNorm(32, 128, eps=1e-06, affine=True)
- lowvram: loaded module regularly encoder.down.0.block.0.norm2 GroupNorm(32, 128, eps=1e-06, affine=True)
- lowvram: loaded module regularly encoder.down.0.block.0.norm1 GroupNorm(32, 128, eps=1e-06, affine=True)
- lowvram: loaded module regularly decoder.up.0.block.2.norm2 GroupNorm(32, 128, eps=1e-06, affine=True)
- lowvram: loaded module regularly decoder.up.0.block.2.norm1 GroupNorm(32, 128, eps=1e-06, affine=True)
- lowvram: loaded module regularly decoder.up.0.block.1.norm2 GroupNorm(32, 128, eps=1e-06, affine=True)
- lowvram: loaded module regularly decoder.up.0.block.1.norm1 GroupNorm(32, 128, eps=1e-06, affine=True)
- lowvram: loaded module regularly decoder.up.0.block.0.norm2 GroupNorm(32, 128, eps=1e-06, affine=True)
- lowvram: loaded module regularly decoder.norm_out GroupNorm(32, 128, eps=1e-06, affine=True)
- loaded completely 0.0 159.87335777282715 True
- Prompt executed in 90.45 seconds
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