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🤗 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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Can't convert ckpt model to diffusers with convert_original_stable_diffusion_to_diffusers #743

Closed Desm0nt closed 1 year ago

Desm0nt commented 1 year ago

Describe the bug

I have some ckpt files and try to convert it to diffusers in google colab. with this command

!python /content/diffusers/scripts/convert_original_stable_diffusion_to_diffusers.py --checkpoint_path /content/gdrive/MyDrive/Waifu_6e.ckpt --dump_path /content/stable-diffusion-alt

But got this error: 

Traceback (most recent call last):
  File "/content/diffusers/scripts/old_convert_original_stable_diffusion_to_diffusers.py", line 690, in <module>
    pipe.save_pretrained(args.dump_path)
  File "/usr/local/lib/python3.7/dist-packages/diffusers/pipeline_utils.py", line 158, in save_pretrained
    save_method = getattr(sub_model, save_method_name)
TypeError: getattr(): attribute name must be string

It works fine with the same model 2 days ago.

Reproduction

No response

Logs

Looking in indexes: https://pypi.org/simple, https://us-python.pkg.dev/colab-wheels/public/simple/
Requirement already satisfied: omegaconf in /usr/local/lib/python3.7/dist-packages (2.2.3)
Requirement already satisfied: PyYAML>=5.1.0 in /usr/local/lib/python3.7/dist-packages (from omegaconf) (6.0)
Requirement already satisfied: antlr4-python3-runtime==4.9.* in /usr/local/lib/python3.7/dist-packages (from omegaconf) (4.9.3)
--2022-10-05 20:31:17--  https://raw.githubusercontent.com/CompVis/stable-diffusion/main/configs/stable-diffusion/v1-inference.yaml
Resolving raw.githubusercontent.com (raw.githubusercontent.com)... 185.199.108.133, 185.199.109.133, 185.199.110.133, ...
Connecting to raw.githubusercontent.com (raw.githubusercontent.com)|185.199.108.133|:443... connected.
HTTP request sent, awaiting response... 200 OK
Length: 1873 (1.8K) [text/plain]
Saving to: ‘v1-inference.yaml’

v1-inference.yaml 100%[===================>]   1.83K  --.-KB/s    in 0s      

2022-10-05 20:31:17 (38.0 MB/s) - ‘v1-inference.yaml’ saved [1873/1873]

Some weights of the model checkpoint at openai/clip-vit-large-patch14 were not used when initializing CLIPTextModel: ['vision_model.encoder.layers.2.self_attn.k_proj.bias', 'vision_model.encoder.layers.15.self_attn.v_proj.bias', 'vision_model.encoder.layers.16.self_attn.out_proj.bias', 'vision_model.encoder.layers.16.layer_norm1.weight', 'vision_model.encoder.layers.3.self_attn.out_proj.weight', 'vision_model.encoder.layers.10.self_attn.v_proj.bias', 'vision_model.encoder.layers.5.self_attn.v_proj.bias', 'vision_model.encoder.layers.19.self_attn.q_proj.weight', 'vision_model.encoder.layers.0.self_attn.v_proj.weight', 'vision_model.encoder.layers.10.layer_norm1.weight', 'vision_model.encoder.layers.0.mlp.fc1.bias', 'vision_model.encoder.layers.9.self_attn.q_proj.weight', 'vision_model.encoder.layers.7.self_attn.k_proj.bias', 'vision_model.pre_layrnorm.bias', 'vision_model.encoder.layers.4.self_attn.v_proj.weight', 'vision_model.encoder.layers.15.self_attn.q_proj.weight', 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'vision_model.encoder.layers.12.layer_norm2.bias', 'vision_model.encoder.layers.4.layer_norm2.weight', 'vision_model.encoder.layers.20.mlp.fc1.weight', 'vision_model.encoder.layers.12.self_attn.v_proj.bias', 'vision_model.encoder.layers.8.self_attn.v_proj.bias', 'vision_model.encoder.layers.2.mlp.fc1.bias', 'vision_model.encoder.layers.20.self_attn.q_proj.bias', 'vision_model.encoder.layers.4.mlp.fc2.bias', 'vision_model.encoder.layers.2.self_attn.v_proj.weight', 'vision_model.pre_layrnorm.weight']
- This IS expected if you are initializing CLIPTextModel from the checkpoint of a model trained on another task or with another architecture (e.g. initializing a BertForSequenceClassification model from a BertForPreTraining model).
- This IS NOT expected if you are initializing CLIPTextModel from the checkpoint of a model that you expect to be exactly identical (initializing a BertForSequenceClassification model from a BertForSequenceClassification model).
Traceback (most recent call last):
  File "/content/diffusers/scripts/old_convert_original_stable_diffusion_to_diffusers.py", line 690, in <module>
    pipe.save_pretrained(args.dump_path)
  File "/usr/local/lib/python3.7/dist-packages/diffusers/pipeline_utils.py", line 158, in save_pretrained
    save_method = getattr(sub_model, save_method_name)
TypeError: getattr(): attribute name must be string


### System Info

Google colab. 
Python 3.7
Latest github diffusers version
briansemrau commented 1 year ago

Make sure you haven't modified StableDiffusionPipeline.py to remove the safety checker. Setting the safety checker as a dummy function confuses the script, because it can't figure out what kind of model it is.

Ideally for this usage it would be nice if the save_pretrained function avoided failing in this case.

patil-suraj commented 1 year ago

Thanks for the issue! @briansemrau answer seems right! We have verified the script with the orginal .ckpt file and works as expected, please check if you have not modified anything.

jujpenabe commented 1 year ago

I have the same problem, I can't convert a merged ckpt. Probably one of those was not an original model of stable diffusion? I haven't touched anything, I use the script in colab and always clone the diffuser repository at every runtime. Are there any other requirements to convert the ckpt? Maybe the size or a mandatory config.yaml?

patrickvonplaten commented 1 year ago

Hey @Desm0nt or @jujpenabe,

Could you maybe upload the original .ckpt file somewhere to the Hugging Face Hub: huggingface.co so that I can reproduce the error locally?

patrickvonplaten commented 1 year ago

Closing to inactivity - we need access to a checkpoint to check this - will otherwise follow up on https://github.com/huggingface/diffusers/issues/671