Merge changes #123
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Merge changes #123
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update custom diffusion attn processor
* fix model xformers test * update
update free model hooks
* fix * Update src/diffusers/models/attention.py Co-authored-by: Patrick von Platen <[email protected]> --------- Co-authored-by: Patrick von Platen <[email protected]>
* explicit torch dependency check * update * update * update
… with a batch size > 1 (#5677) * fix embeds * remove todo * add: test * better name
* fix: import bug * fix * fix * fix import utils for lcm * fix: pixart alpha init * Fix --------- Co-authored-by: Patrick von Platen <[email protected]>
* debug * support non-square images * add: test * fix: test --------- Co-authored-by: Patrick von Platen <[email protected]>
* Refactor LCMScheduler.step such that prev_sample == denoised at the last timestep in the schedule. * Make timestep scaling when calculating boundary conditions configurable. * Reparameterize timestep_scaling to be a multiplicative rather than division scaling. * make style * fix dtype conversion * make style --------- Co-authored-by: Patrick von Platen <[email protected]>
) * Fix typos, improve, update; kandinsky doesn't want fp16 due to deprecation; ogkalu and kohbanye don't have safetensor; add make_image_grid for better visualization * Update inpaint.md * Remove erronous Space * Update docs/source/en/using-diffusers/conditional_image_generation.md Co-authored-by: Steven Liu <[email protected]> * Update img2img.md * load_image() already converts to RGB * Update depth2img.md * Update img2img.md * Update inpaint.md --------- Co-authored-by: Steven Liu <[email protected]>
…ion. (#5651) * 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 <[email protected]> * Update src/diffusers/models/unet_2d_blocks.py Add suggested text Co-authored-by: Sayak Paul <[email protected]> * 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 <[email protected]> --------- Co-authored-by: Sayak Paul <[email protected]> Co-authored-by: Dhruv Nair <[email protected]> Co-authored-by: YiYi Xu <[email protected]>
skip rendering Co-authored-by: yiyixuxu <yixu310@gmail,com>
Fix the misaligned pipeline usage
* [LCM] Fix img2img * make fix-copies * make fix-copies * make fix-copies * up
* fix mask feature condition. * debug * remove identical test * set correct * Empty-Commit
* up * up * up * Empty-Commit * fix keyword argument call. --------- Co-authored-by: Sayak Paul <[email protected]>
* Add adapter fusing + PEFT to the docs * Update docs/source/en/tutorials/using_peft_for_inference.md Co-authored-by: Sayak Paul <[email protected]> * Update docs/source/en/tutorials/using_peft_for_inference.md Co-authored-by: Sayak Paul <[email protected]> * Update docs/source/en/tutorials/using_peft_for_inference.md Co-authored-by: Steven Liu <[email protected]> * Update docs/source/en/tutorials/using_peft_for_inference.md Co-authored-by: Steven Liu <[email protected]> * 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 <[email protected]> Co-authored-by: Steven Liu <[email protected]>
* fix prompt bug * add test
* bugfix peft lor * Apply suggestions from code review --------- Co-authored-by: Patrick von Platen <[email protected]>
install acclerate from pypi
* consistency decoder * rename * Apply suggestions from code review Co-authored-by: Sayak Paul <[email protected]> * Update src/diffusers/pipelines/consistency_models/pipeline_consistency_models.py * uP * Apply suggestions from code review * uP * uP * uP --------- Co-authored-by: Patrick von Platen <[email protected]> Co-authored-by: Sayak Paul <[email protected]>
* uP * Update src/diffusers/models/consistency_decoder_vae.py * uP * uP
* lcm add tests * uP * Fix all * uP * Add * all * uP * uP * uP * uP * uP * uP * uP
* add: locm docs. * correct path * Apply suggestions from code review Co-authored-by: Pedro Cuenca <[email protected]> * Apply suggestions from code review Co-authored-by: Pedro Cuenca <[email protected]> * Apply suggestions from code review Co-authored-by: Patrick von Platen <[email protected]> * up * add --------- Co-authored-by: Pedro Cuenca <[email protected]> Co-authored-by: Patrick von Platen <[email protected]>
* add lcm scripts * Co-authored-by: [email protected]
* Fix typos, update, trim trailing whitespace * Trim trailing whitespaces * Update docs/source/en/optimization/memory.md Co-authored-by: Steven Liu <[email protected]> * Update docs/source/en/optimization/memory.md Co-authored-by: Steven Liu <[email protected]> * Update _toctree.yml * Update adapt_a_model.md * Reverse * Reverse * Reverse * Update dreambooth.md * Update instructpix2pix.md * Update lora.md * Update overview.md * Update t2i_adapters.md * Update text2image.md * Update text_inversion.md * Update create_dataset.md * Update create_dataset.md * Update create_dataset.md * Update create_dataset.md * Update coreml.md * Delete docs/source/en/training/create_dataset.md * Original create_dataset.md * Update create_dataset.md * Delete docs/source/en/training/create_dataset.md * Add original file * Delete docs/source/en/training/create_dataset.md * Add original one * Delete docs/source/en/training/text2image.md * Delete docs/source/en/training/instructpix2pix.md * Delete docs/source/en/training/dreambooth.md * Add original files --------- Co-authored-by: Steven Liu <[email protected]>
* [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
fix: doc type
* post release * fix: variant test * up * fix: test
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