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šŸ¤— Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch and FLAX.
https://huggingface.co/docs/diffusers
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StableDiffusionPipeline.from_pretrained() fails to load specified models, resulting in identical weights #9332

Open fule1255 opened 2 months ago

fule1255 commented 2 months ago

Describe the bug

Issue Summary

The from_pretrained() method of StableDiffusionPipeline fails to correctly load the specified models on local directory. Instead, it appears to use the same (likely default) weights for different model paths. This results in identical models being used even when attempting to load different models.

Steps to Reproduce

  1. Prepare two different Stable Diffusion models (modelA and modelB), ensuring each model directory contains all necessary components:

    • unet (directory containing model files)(not safetensors. diffusion_pytorch_model.bin)
    • vae (directory containing model files)
    • text_encoder (directory containing model files)
    • tokenizer (directory containing model files)
    • scheduler (directory containing configuration)
    • model_index.json

  2. Execute the following code:

Expected Behavior

The from_pretrained() method should correctly load two different specified models, each with their unique weights.

Actual Behavior

The from_pretrained() method does not load the specified models as expected. Instead, both instances have identical weights, suggesting that the correct models are not being loaded.

Reproduction

import torch
from diffusers import StableDiffusionPipeline,StableDiffusionXLPipeline,StableDiffusion3Pipeline
import matplotlib.pyplot as plt

#directory of model in local
path_modelA = "./models/modelA"
path_modelB = "./models/modelB"

def load_model(model_path):
    pipe = StableDiffusionPipeline.from_pretrained(
        model_path,
        torch_dtype=torch.float16,
        use_safetensors=True,
        local_files_only=True,
        safety_checker=None
    )
    return pipe.to("cuda")

pipe1 = load_model(path_modelA)
pipe2 = load_model(path_modelB)

print("Models are the same:", torch.allclose(pipe1.unet.conv_in.weight, pipe2.unet.conv_in.weight))
print("First few weights of model A:", pipe1.unet.conv_in.weight.flatten()[:10])
print("First few weights of model B:", pipe2.unet.conv_in.weight.flatten()[:10])

#generate in pipeline
prompt = "a cat"

pipe = StableDiffusionPipeline.from_pretrained(path_modelA, torch_dtype=torch.float16)
pipe = pipe.to("cuda")
pipe.safety_checker = None
generator = torch.Generator("cuda").manual_seed(42)
image = pipe(prompt, generator=generator).images[0]
image.save("generated_image1.png")

pipe = StableDiffusionPipeline.from_pretrained(path_modelB, torch_dtype=torch.float16)
pipe = pipe.to("cuda")
pipe.safety_checker = None
generator = torch.Generator("cuda").manual_seed(42)
image = pipe(prompt, generator=generator).images[0]
image.save("generated_image2.png")

Logs

sh-5.1# python test.py
/usr/local/lib/python3.10/dist-packages/xformers/ops/fmha/flash.py:211: FutureWarning: `torch.library.impl_abstract` was renamed to `torch.library.register_fake`. Please use that instead; we will remove `torch.library.impl_abstract` in a future version of PyTorch.
  @torch.library.impl_abstract("xformers_flash::flash_fwd")
/usr/local/lib/python3.10/dist-packages/xformers/ops/fmha/flash.py:344: FutureWarning: `torch.library.impl_abstract` was renamed to `torch.library.register_fake`. Please use that instead; we will remove `torch.library.impl_abstract` in a future version of PyTorch.
  @torch.library.impl_abstract("xformers_flash::flash_bwd")
Loading pipeline components...:   0%|                                                                                                                    | 0/6 [00:00<?, ?it/s]An error occurred while trying to fetch ./models/modelA/vae: Error no file named diffusion_pytorch_model.safetensors found in directory ./models/modelA/vae.
Defaulting to unsafe serialization. Pass `allow_pickle=False` to raise an error instead.
Loading pipeline components...:  17%|ā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆ                                                                                          | 1/6 [00:01<00:07,  1.47s/it]An error occurred while trying to fetch ./models/modelA/unet: Error no file named diffusion_pytorch_model.safetensors found in directory ./models/modelA/unet.
Defaulting to unsafe serialization. Pass `allow_pickle=False` to raise an error instead.
Loading pipeline components...:  67%|ā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆ                                    | 4/6 [00:20<00:09,  5.00s/it]/usr/local/lib/python3.10/dist-packages/transformers/models/clip/feature_extraction_clip.py:28: FutureWarning: The class CLIPFeatureExtractor is deprecated and will be removed in version 5 of Transformers. Please use CLIPImageProcessor instead.
  warnings.warn(
Loading pipeline components...: 100%|ā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆ| 6/6 [00:20<00:00,  3.40s/it]
You have disabled the safety checker for <class 'diffusers.pipelines.stable_diffusion.pipeline_stable_diffusion.StableDiffusionPipeline'> by passing `safety_checker=None`. Ensure that you abide to the conditions of the Stable Diffusion license and do not expose unfiltered results in services or applications open to the public. Both the diffusers team and Hugging Face strongly recommend to keep the safety filter enabled in all public facing circumstances, disabling it only for use-cases that involve analyzing network behavior or auditing its results. For more information, please have a look at https://github.com/huggingface/diffusers/pull/254 .
Loading pipeline components...:   0%|                                                                                                                    | 0/6 [00:00<?, ?it/s]An error occurred while trying to fetch ./models/modelB/vae: Error no file named diffusion_pytorch_model.safetensors found in directory ./models/modelB/vae.
Defaulting to unsafe serialization. Pass `allow_pickle=False` to raise an error instead.
Loading pipeline components...:  17%|ā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆ                                                                                          | 1/6 [00:01<00:06,  1.28s/it]An error occurred while trying to fetch ./models/modelB/unet: Error no file named diffusion_pytorch_model.safetensors found in directory ./models/modelB/unet.
Defaulting to unsafe serialization. Pass `allow_pickle=False` to raise an error instead.
Loading pipeline components...: 100%|ā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆ| 6/6 [00:19<00:00,  3.25s/it]
You have disabled the safety checker for <class 'diffusers.pipelines.stable_diffusion.pipeline_stable_diffusion.StableDiffusionPipeline'> by passing `safety_checker=None`. Ensure that you abide to the conditions of the Stable Diffusion license and do not expose unfiltered results in services or applications open to the public. Both the diffusers team and Hugging Face strongly recommend to keep the safety filter enabled in all public facing circumstances, disabling it only for use-cases that involve analyzing network behavior or auditing its results. For more information, please have a look at https://github.com/huggingface/diffusers/pull/254 .
Models are the same: True
First few weights of model A: tensor([-0.0307,  0.0853,  0.0953, -0.0312, -0.2228,  0.1432, -0.0234, -0.0179,
         0.0331,  0.0573], device='cuda:0', dtype=torch.float16,
       grad_fn=<SliceBackward0>)
First few weights of model B: tensor([-0.0307,  0.0853,  0.0953, -0.0312, -0.2228,  0.1432, -0.0234, -0.0179,
         0.0331,  0.0573], device='cuda:0', dtype=torch.float16,
       grad_fn=<SliceBackward0>)
Loading pipeline components...:   0%|                                                                                                                    | 0/7 [00:00<?, ?it/s]An error occurred while trying to fetch ./models/modelA/vae: Error no file named diffusion_pytorch_model.safetensors found in directory ./models/modelA/vae.
Defaulting to unsafe serialization. Pass `allow_pickle=False` to raise an error instead.
Loading pipeline components...:  14%|ā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–                                                                                            | 1/7 [00:01<00:07,  1.27s/it]An error occurred while trying to fetch ./models/modelA/unet: Error no file named diffusion_pytorch_model.safetensors found in directory ./models/modelA/unet.
Defaulting to unsafe serialization. Pass `allow_pickle=False` to raise an error instead.
Loading pipeline components...: 100%|ā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆ| 7/7 [00:30<00:00,  4.41s/it]
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Loading pipeline components...:   0%|                                                                                                                    | 0/7 [00:00<?, ?it/s]An error occurred while trying to fetch ./models/modelB/vae: Error no file named diffusion_pytorch_model.safetensors found in directory ./models/modelB/vae.
Defaulting to unsafe serialization. Pass `allow_pickle=False` to raise an error instead.
Loading pipeline components...:  14%|ā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–                                                                                            | 1/7 [00:01<00:07,  1.27s/it]An error occurred while trying to fetch ./models/modelB/unet: Error no file named diffusion_pytorch_model.safetensors found in directory ./models/modelB/unet.
Defaulting to unsafe serialization. Pass `allow_pickle=False` to raise an error instead.
Loading pipeline components...: 100%|ā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆ| 7/7 [00:31<00:00,  4.46s/it]
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sh-5.1#

System Info

Who can help?

No response

github-actions[bot] commented 1 month ago

This issue has been automatically marked as stale because it has not had recent activity. If you think this still needs to be addressed please comment on this thread.

Please note that issues that do not follow the contributing guidelines are likely to be ignored.

yiyixuxu commented 1 month ago

thanks for your issue this is not something we can reproduce, unfortunately. do you have more info to add?

github-actions[bot] commented 1 month ago

This issue has been automatically marked as stale because it has not had recent activity. If you think this still needs to be addressed please comment on this thread.

Please note that issues that do not follow the contributing guidelines are likely to be ignored.