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[Docs] CogView4 comment fix #10957

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Merged
merged 3 commits into from
Mar 4, 2025
Merged

[Docs] CogView4 comment fix #10957

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a10c830
Update pipeline_cogview4.py
zRzRzRzRzRzRzR Mar 3, 2025
ca3ab61
Merge branch 'huggingface:main' into glm
zRzRzRzRzRzRzR Mar 4, 2025
07e1139
Use GLM instead of T5 in doc
zRzRzRzRzRzRzR Mar 4, 2025
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10 changes: 4 additions & 6 deletions src/diffusers/pipelines/cogview4/pipeline_cogview4.py
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Expand Up @@ -143,13 +143,11 @@ class CogView4Pipeline(DiffusionPipeline):
Args:
vae ([`AutoencoderKL`]):
Variational Auto-Encoder (VAE) Model to encode and decode images to and from latent representations.
text_encoder ([`T5EncoderModel`]):
Frozen text-encoder. CogView4 uses
[T5](https://huggingface.co/docs/transformers/model_doc/t5#transformers.T5EncoderModel); specifically the
[t5-v1_1-xxl](https://huggingface.co/PixArt-alpha/PixArt-alpha/tree/main/t5-v1_1-xxl) variant.
tokenizer (`T5Tokenizer`):
text_encoder ([`GLMModel`]):
Frozen text-encoder. CogView4 uses [glm-4-9b-hf](https://huggingface.co/THUDM/glm-4-9b-hf).
tokenizer (`PreTrainedTokenizer`):
Tokenizer of class
[T5Tokenizer](https://huggingface.co/docs/transformers/model_doc/t5#transformers.T5Tokenizer).
[PreTrainedTokenizer](https://huggingface.co/docs/transformers/main/en/main_classes/tokenizer#transformers.PreTrainedTokenizer).
transformer ([`CogView4Transformer2DModel`]):
A text conditioned `CogView4Transformer2DModel` to denoise the encoded image latents.
scheduler ([`SchedulerMixin`]):
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