* does this fix things?
* attention mask use
* attention mask order
* better masking.
* add: tesrt
* remove mask_featur
* test
* debug
* fix: tests
* deprecate mask_feature
* add deprecation test
* add slow test
* add print statements to retrieve the assertion values.
* fix for the 1024 fast tes
* fix tesy
* fix the remaining
* Apply suggestions from code review
* more debug
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Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
* Fix the pipeline name in the examples for LMD+ pipeline
* Add LMD+ colab link
* Apply code formatting
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Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>
* Update the reference for text_to_video.md
The original reference (VideoFusion) might be misleading. VideoFusion is not open-sourced. I am the co-first author of ModelScopeT2V. I change the referred paper to the right one.
* Update docs/source/en/api/pipelines/text_to_video.md
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
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Co-authored-by: YiYi Xu <yixu310@gmail.com>
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
* [Docs] Running the pipeline twice does not appear to be the intention of these examples
One is with `cross_attention_kwargs` and the other (next line) removes it
* [Docs] Clarify that these are two separate examples
One using `scale` and the other without it
* add: locm docs.
* correct path
* Apply suggestions from code review
Co-authored-by: Pedro Cuenca <pedro@huggingface.co>
* Apply suggestions from code review
Co-authored-by: Pedro Cuenca <pedro@huggingface.co>
* Apply suggestions from code review
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
* up
* add
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Co-authored-by: Pedro Cuenca <pedro@huggingface.co>
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
* consistency decoder
* rename
* Apply suggestions from code review
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>
* Update src/diffusers/pipelines/consistency_models/pipeline_consistency_models.py
* uP
* Apply suggestions from code review
* uP
* uP
* uP
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Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>
* Add adapter fusing + PEFT to the docs
* Update docs/source/en/tutorials/using_peft_for_inference.md
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>
* Update docs/source/en/tutorials/using_peft_for_inference.md
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>
* Update docs/source/en/tutorials/using_peft_for_inference.md
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
* Update docs/source/en/tutorials/using_peft_for_inference.md
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
* Update docs/source/en/tutorials/using_peft_for_inference.md
* Update docs/source/en/tutorials/using_peft_for_inference.md
---------
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
* I added a new doc string to the class. This is more flexible to understanding other developers what are doing and where it's using.
* Update src/diffusers/models/unet_2d_blocks.py
This changes suggest by maintener.
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>
* Update src/diffusers/models/unet_2d_blocks.py
Add suggested text
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>
* Update unet_2d_blocks.py
I changed the Parameter to Args text.
* Update unet_2d_blocks.py
proper indentation set in this file.
* Update unet_2d_blocks.py
a little bit of change in the act_fun argument line.
* I run the black command to reformat style in the code
* Update unet_2d_blocks.py
similar doc-string add to have in the original diffusion repository.
* I removed the dummy variable defined in both the encoder and decoder.
* Now, I run black package to reformat my file
* Remove the redundant line from the adapter.py file.
* Black package using to reformated my file
* Replacing the nn.Mish activation function with a get_activation function allows developers to more easily choose the right activation function for their task. Additionally, removing redundant variables can improve code readability and maintainability.
* I try to fix this: Fast tests for PRs / Fast PyTorch Models & Schedulers CPU tests (pull_request)
* Update src/diffusers/models/resnet.py
Co-authored-by: YiYi Xu <yixu310@gmail.com>
---------
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>
Co-authored-by: Dhruv Nair <dhruv.nair@gmail.com>
Co-authored-by: YiYi Xu <yixu310@gmail.com>
