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🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch.
adds shortened script to be referenced in this blogpost https://github.com/huggingface/blog/pull/2888
### Describe the bug I have encountered an error when trying to sample from SD3 transformer component, where line 208 in `attention.py` is asking for two outputs but only one...
Let me introduce the background. The fill model changes the picture background. Torchao quantization is used for inference, but it fails when loading Lora. If Lora is not quantized, it...
### Describe the bug in pipeline_flux.py The docstring says prompt_2 is optional but it is not declared as Optional[] and has no default None value Minor issue, could be in...
# What does this PR do? Adds repr for GGUF and Quanto config classes.
# What does this PR do? See https://github.com/huggingface/diffusers/pull/11712
# What does this PR do? For this: https://github.com/huggingface/diffusers/actions/runs/15646378986/job/44084543295#step:7:614
# What does this PR do? Draft PR to address some issues with the attention modules. 1. Moves a number of transformer related blocks/objects in the attention module that would...
### Describe the bug cc. https://huggingface.co/AlekseyCalvin/FluxFillDev_fp8_Diffusers/discussions/1 I want to run flux fill with fp8 for faster inference but it failed ### Reproduction ``` from diffusers import FluxTransformer2DModel, FluxFillPipeline from transformers...
Improves where you can find the `quant_kwargs` in the `PipelineQuantizationConfig` docs