huggingface / huggingface/diffusers

[Version 0.39.0]AttributeError: 'CLIPTextModel' object has no attribute 'text_model' WHEN SET CKIP_SKIP NOT NONE

Open
#14,124 0 comments 0 reactions 0 assignees View on GitHub

Nobody has claimed this yet.

bug pipelines
Dominant language
Python
Stars
34.5k
Forks
7.3k
Avg merge
3d 3h
Merged PRs (30d)
91

Description

Describe the bug

This bug should have been fixed, yet it still occurs in the latest version.
It does not trigger when clip_skip is set to None, but the issue appears whenever clip_skip has a non-None value.

Reproduction
pipe = StableDiffusionPipeline.from_single_file(
       pretrained_model_link_or_path=model_path,
       torch_dtype=torch.float16 if device.type == "cuda" else torch.float32,
       use_safetensors=True, 
   )

results = pipeline(
           prompt=[prompt] * batch,
           negative_prompt=[negative_prompt] * batch,
           height=height,
           width=width,
           num_inference_steps=steps,
           guidance_scale=guidance_scale,
           generator=generators,
           clip_skip=clip_skip
       )
Logs
- error log

 File "D:\Python\python_3_14\Lib\site-packages\diffusers\pipelines\stable_diffusion\pipeline_stable_diffusion.py", line 962, in __call__
    prompt_embeds, negative_prompt_embeds = self.encode_prompt(
                                            ~~~~~~~~~~~~~~~~~~^
        prompt,
        ^^^^^^^
    ...<7 lines>...
        clip_skip=self.clip_skip,
        ^^^^^^^^^^^^^^^^^^^^^^^^^
    )
    ^
  File "D:\Python\python_3_14\Lib\site-packages\diffusers\pipelines\stable_diffusion\pipeline_stable_diffusion.py", line 437, in encode_prompt
    prompt_embeds = self.text_encoder.text_model.final_layer_norm(prompt_embeds)
                    ^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "D:\Python\python_3_14\Lib\site-packages\torch\nn\modules\module.py", line 1965, in __getattr__
    raise AttributeError(
        f"'{type(self).__name__}' object has no attribute '{name}'"
    )
AttributeError: 'CLIPTextModel' object has no attribute 'text_model'
System Info
  • Software Version
diffusers               0.39.0
transformers            5.13.0
Who can help?

No response

Contributor guide

Open the contributing guide

First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

Start in pipeline_stable_diffusion.py at StableDiffusionPipeline.encode_prompt, around the reported line 437, and reproduce the failure with clip_skip set to a non-None value. Compare that path with clip_skip=None and verify that the pipeline completes without the reported CLIPTextModel AttributeError for the listed diffusers and transformers versions.

Written by the indexing model from the issue text.

Assessment

Tech stack
python, pytorch
Domain
machine-learning
Issue type
Bug
Difficulty
3/5
Estimated time
1-2 days
Activity status
Quiet
Clarity
Mostly clear
Newbie friendliness
55/100

Get new issues in your inbox

A short digest of beginner-friendly GitHub issues.