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- Traceback (most recent call last):
- File "C:\Users\User\Desktop\StableDiffusion\stable-diffusion-webui\modules\call_queue.py", line 57, in f
- res = list(func(*args, **kwargs))
- File "C:\Users\User\Desktop\StableDiffusion\stable-diffusion-webui\modules\call_queue.py", line 36, in f
- res = func(*args, **kwargs)
- File "C:\Users\User\Desktop\StableDiffusion\stable-diffusion-webui\modules\txt2img.py", line 55, in txt2img
- processed = processing.process_images(p)
- File "C:\Users\User\Desktop\StableDiffusion\stable-diffusion-webui\modules\processing.py", line 732, in process_images
- res = process_images_inner(p)
- File "C:\Users\User\Desktop\StableDiffusion\stable-diffusion-webui\extensions\sd-webui-controlnet\scripts\batch_hijack.py", line 42, in processing_process_images_hijack
- return getattr(processing, '__controlnet_original_process_images_inner')(p, *args, **kwargs)
- File "C:\Users\User\Desktop\StableDiffusion\stable-diffusion-webui\modules\processing.py", line 856, in process_images_inner
- p.setup_conds()
- File "C:\Users\User\Desktop\StableDiffusion\stable-diffusion-webui\modules\processing.py", line 1309, in setup_conds
- super().setup_conds()
- File "C:\Users\User\Desktop\StableDiffusion\stable-diffusion-webui\modules\processing.py", line 469, in setup_conds
- self.uc = self.get_conds_with_caching(prompt_parser.get_learned_conditioning, negative_prompts, total_steps, [self.cached_uc], self.extra_network_data)
- File "C:\Users\User\Desktop\StableDiffusion\stable-diffusion-webui\modules\processing.py", line 455, in get_conds_with_caching
- cache[1] = function(shared.sd_model, required_prompts, steps, hires_steps, shared.opts.use_old_scheduling)
- File "C:\Users\User\Desktop\StableDiffusion\stable-diffusion-webui\modules\prompt_parser.py", line 189, in get_learned_conditioning
- conds = model.get_learned_conditioning(texts)
- File "C:\Users\User\Desktop\StableDiffusion\stable-diffusion-webui\repositories\stable-diffusion-stability-ai\ldm\models\diffusion\ddpm.py", line 669, in get_learned_conditioning
- c = self.cond_stage_model(c)
- File "C:\Users\User\Desktop\StableDiffusion\stable-diffusion-webui\venv\lib\site-packages\torch\nn\modules\module.py", line 1501, in _call_impl
- return forward_call(*args, **kwargs)
- File "C:\Users\User\Desktop\StableDiffusion\stable-diffusion-webui\modules\sd_hijack_clip.py", line 234, in forward
- z = self.process_tokens(tokens, multipliers)
- File "C:\Users\User\Desktop\StableDiffusion\stable-diffusion-webui\scripts\zz_clip_mod.py", line 21, in __call__
- z1 = self.process_tokens(remade_batch_tokens, multipliers) # type: ignore
- File "C:\Users\User\Desktop\StableDiffusion\stable-diffusion-webui\modules\sd_hijack_clip.py", line 273, in process_tokens
- z = self.encode_with_transformers(tokens)
- File "C:\Users\User\Desktop\StableDiffusion\stable-diffusion-webui\modules\sd_hijack_clip.py", line 326, in encode_with_transformers
- outputs = self.wrapped.transformer(input_ids=tokens, output_hidden_states=-opts.CLIP_stop_at_last_layers)
- File "C:\Users\User\Desktop\StableDiffusion\stable-diffusion-webui\venv\lib\site-packages\torch\nn\modules\module.py", line 1527, in _call_impl
- result = hook(self, args)
- File "C:\Users\User\Desktop\StableDiffusion\stable-diffusion-webui\modules\lowvram.py", line 54, in send_me_to_gpu
- module.to(devices.device)
- File "C:\Users\User\Desktop\StableDiffusion\stable-diffusion-webui\venv\lib\site-packages\torch\nn\modules\module.py", line 1145, in to
- return self._apply(convert)
- File "C:\Users\User\Desktop\StableDiffusion\stable-diffusion-webui\venv\lib\site-packages\torch\nn\modules\module.py", line 797, in _apply
- module._apply(fn)
- File "C:\Users\User\Desktop\StableDiffusion\stable-diffusion-webui\venv\lib\site-packages\torch\nn\modules\module.py", line 797, in _apply
- module._apply(fn)
- File "C:\Users\User\Desktop\StableDiffusion\stable-diffusion-webui\venv\lib\site-packages\torch\nn\modules\module.py", line 797, in _apply
- module._apply(fn)
- [Previous line repeated 2 more times]
- File "C:\Users\User\Desktop\StableDiffusion\stable-diffusion-webui\venv\lib\site-packages\torch\nn\modules\module.py", line 820, in _apply
- param_applied = fn(param)
- File "C:\Users\User\Desktop\StableDiffusion\stable-diffusion-webui\venv\lib\site-packages\torch\nn\modules\module.py", line 1143, in convert
- return t.to(device, dtype if t.is_floating_point() or t.is_complex() else None, non_blocking)
- NotImplementedError: Cannot copy out of meta tensor; no data!
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