venv "D:\Dev\stable-diffusion-webui\venv\Scripts\Python.exe"
Python 3.10.6 (tags/v3.10.6:9c7b4bd, Aug  1 2022, 21:53:49) [MSC v.1932 64 bit (AMD64)]
Commit hash: 98947d173e3f1667eba29c904f681047dea9de90
Installing requirements for Web UI
Launching Web UI with arguments:
LatentDiffusion: Running in eps-prediction mode
DiffusionWrapper has 859.52 M params.
making attention of type 'vanilla' with 512 in_channels
Working with z of shape (1, 4, 32, 32) = 4096 dimensions.
making attention of type 'vanilla' with 512 in_channels
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Downloading: 100%|████████████████████████████████████████████████████████████████| 1.59G/1.59G [00:41<00:00, 41.3MB/s]
Loading weights [7460a6fa] from D:\Dev\stable-diffusion-webui\models\Stable-diffusion\sd-v1-4.ckpt
Global Step: 470000
Applying cross attention optimization (Doggettx).
Model loaded.
Loaded a total of 0 textual inversion embeddings.
Embeddings:
Running on local URL:  http://127.0.0.1:7860

To create a public link, set `share=True` in `launch()`.
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Error running process: D:\Dev\stable-diffusion-webui\extensions\stable-diffusion-webui-aesthetic-gradients-master\scripts\aesthetic.py
Traceback (most recent call last):
  File "D:\Dev\stable-diffusion-webui\modules\scripts.py", line 300, in process
    script.process(p, *script_args)
  File "D:\Dev\stable-diffusion-webui\extensions\stable-diffusion-webui-aesthetic-gradients-master\scripts\aesthetic.py", line 36, in process
    aesthetic.set_aesthetic_params(p, float(aesthetic_lr), float(aesthetic_weight), int(aesthetic_steps), aesthetic_imgs, aesthetic_slerp, aesthetic_imgs_text, aesthetic_slerp_angle, aesthetic_text_negative)
  File "D:\Dev\stable-diffusion-webui\extensions\stable-diffusion-webui-aesthetic-gradients-master\aesthetic_clip.py", line 174, in set_aesthetic_params
    self.load_image_embs(image_embs_name)
  File "D:\Dev\stable-diffusion-webui\extensions\stable-diffusion-webui-aesthetic-gradients-master\aesthetic_clip.py", line 197, in load_image_embs
    self.image_embs = torch.load(aesthetic_embeddings[self.image_embs_name], map_location=device)
  File "D:\Dev\stable-diffusion-webui\modules\safe.py", line 102, in load
    return load_with_extra(filename, *args, **kwargs)
  File "D:\Dev\stable-diffusion-webui\modules\safe.py", line 147, in load_with_extra
    return unsafe_torch_load(filename, *args, **kwargs)
  File "D:\Dev\stable-diffusion-webui\venv\lib\site-packages\torch\serialization.py", line 713, in load
    return _legacy_load(opened_file, map_location, pickle_module, **pickle_load_args)
  File "D:\Dev\stable-diffusion-webui\venv\lib\site-packages\torch\serialization.py", line 920, in _legacy_load
    magic_number = pickle_module.load(f, **pickle_load_args)
_pickle.UnpicklingError: invalid load key, 'v'.

Aesthetic optimization:   0%|                                                                                                         | 0/5 [00:00<?, ?it/s]
Error completing request
Arguments: ('a cat', '', 'None', 'None', 20, 0, False, False, 1, 1, 7, -1.0, -1.0, 0, 0, 0, False, 512, 512, False, 0.7, 0, 0, 0, 0.9, 5, '0.0001', False, 'pixelart', '', 0.1, False, False, False, False, '', 1, '', 0, '', True, False, False) {}
Traceback (most recent call last):
  File "D:\Dev\stable-diffusion-webui\modules\ui.py", line 185, in f
    res = list(func(*args, **kwargs))
  File "D:\Dev\stable-diffusion-webui\webui.py", line 54, in f
    res = func(*args, **kwargs)
  File "D:\Dev\stable-diffusion-webui\modules\txt2img.py", line 48, in txt2img
    processed = process_images(p)
  File "D:\Dev\stable-diffusion-webui\modules\processing.py", line 423, in process_images
    res = process_images_inner(p)
  File "D:\Dev\stable-diffusion-webui\modules\processing.py", line 508, in process_images_inner
    uc = prompt_parser.get_learned_conditioning(shared.sd_model, len(prompts) * [p.negative_prompt], p.steps)
  File "D:\Dev\stable-diffusion-webui\modules\prompt_parser.py", line 138, in get_learned_conditioning
    conds = model.get_learned_conditioning(texts)
  File "D:\Dev\stable-diffusion-webui\repositories\stable-diffusion\ldm\models\diffusion\ddpm.py", line 558, in get_learned_conditioning
    c = self.cond_stage_model(c)
  File "D:\Dev\stable-diffusion-webui\venv\lib\site-packages\torch\nn\modules\module.py", line 1130, in _call_impl
    return forward_call(*input, **kwargs)
  File "D:\Dev\stable-diffusion-webui\modules\sd_hijack.py", line 340, in forward
    z1 = self.process_tokens(tokens, multipliers)
  File "D:\Dev\stable-diffusion-webui\extensions\stable-diffusion-webui-aesthetic-gradients-master\aesthetic_clip.py", line 233, in __call__
    sim = text_embs @ img_embs.T
AttributeError: 'NoneType' object has no attribute 'T'