Merge changes #149
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Merge changes #149
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* use uv for installing stuff in the workflows. * fix: from source installation command when using uv. * fix uv venv issue * edit editable installation. * fix quality installation * checking * make editable. * more check * check * add: export step * venv handling. * checking. * fix: dependency workflows. * peft tests. * proper way to initialize env. * Empty-Commit * Empty-Commit
* update * update
* Add copyright notice to relevant files and fix typos * Set `timestep_spacing` parameter of `StableDiffusionXLPipeline`'s scheduler to `'trailing'`. * Update `StableDiffusionXLPipeline.from_single_file` by including EulerAncestralDiscreteScheduler with `timestep_spacing="trailing"` param. * Update model loading method in SDXL Turbo documentation
… `image_encoder` (#7016) * add Co-authored-by: Sayak Paul <[email protected]> --------- Co-authored-by: yiyixuxu <yixu310@gmail,com> Co-authored-by: Sayak Paul <[email protected]>
…e Slack notification (#7155) pin uv version for now.
* make workflow dispatchable. * fix: lcm lora compile
Update train_text_to_image_sdxl.py
* Speed up dataset mapping * Fix missing columns * Remove cache files cleanup * Update examples/text_to_image/train_text_to_image_sdxl.py * make style * Fix code style * style * Empty-Commit --------- Co-authored-by: Sayak Paul <[email protected]> Co-authored-by: Quentin Lhoest <[email protected]> Co-authored-by: Quentin Lhoest <[email protected]>
fix Co-authored-by: yiyixuxu <yixu310@gmail,com>
* add: dreambooth lora script for Playground v2.5 * fix: kwarg * address suraj's comments. * Apply suggestions from code review Co-authored-by: Suraj Patil <[email protected]> * apply suraj's suggestion * incorporate changes in the canonical script./ * tracker naming * fix: schedule determination * add: two simple tests * remove playground script * note about edm-style training * address pedro's comments. * address part of Suraj's comments. * Apply suggestions from code review Co-authored-by: Suraj Patil <[email protected]> * remove guidance_scale. * use mse_loss. * add comments for preconditioning. * quality * Update examples/dreambooth/train_dreambooth_lora_sdxl.py Co-authored-by: Suraj Patil <[email protected]> * tackle v-pred. * Empty-Commit * support edm for sdxl too. * address suraj's comments. * Empty-Commit --------- Co-authored-by: Suraj Patil <[email protected]>
* feat 256px diffusers inference bug * change the max_length of T5 to pipeline config file * fix bug in convert_pixart_alpha_to_diffusers.py * Update scripts/convert_pixart_alpha_to_diffusers.py Co-authored-by: Sayak Paul <[email protected]> * remove multi_scale_train parser * Update src/diffusers/pipelines/pixart_alpha/pipeline_pixart_alpha.py Co-authored-by: YiYi Xu <[email protected]> * Update src/diffusers/pipelines/pixart_alpha/pipeline_pixart_alpha.py Co-authored-by: YiYi Xu <[email protected]> * styling * change `model_token_max_length` to call argument. * Refactoring * add: max_sequence_length to the docstring. --------- Co-authored-by: Sayak Paul <[email protected]> Co-authored-by: YiYi Xu <[email protected]>
…pters (#7189) * initial * check_inputs fix to the rest of pipelines * add fix for no cfg too * use of variable --------- Co-authored-by: Sayak Paul <[email protected]>
* feat: add ip adapter benchmark * sdxl support too. * Empty-Commit
more elaborate example for peft torch.compile
* refactor callback * run make style * add copy --------- Co-authored-by: Sayak Paul <[email protected]>
* add is_dora arg * style * add dora training feature to sd 1.5 script * added notes about DoRA training --------- Co-authored-by: Sayak Paul <[email protected]>
update Co-authored-by: Sayak Paul <[email protected]>
* add tags for diffusers training * add tags for diffusers training * add tags for diffusers training * add tags for diffusers training * add tags for diffusers training * add tags for diffusers training * add dora tags for drambooth lora scripts * style
* fix * fix * update comment --------- Co-authored-by: yiyixuxu <yixu310@gmail,com>
Co-authored-by: Sayak Paul <[email protected]>
* Fix typos * Fix typos * Fix typos and update documentation in lora.md
…7151) * Enable FakeTensorMode for EulerDiscreteScheduler scheduler PyTorch's FakeTensorMode does not support `.numpy()` or `numpy.array()` calls. This PR replaces `sigmas` numpy tensor by a PyTorch tensor equivalent Repro ```python with torch._subclasses.FakeTensorMode() as fake_mode, ONNXTorchPatcher(): fake_model = DiffusionPipeline.from_pretrained(model_name, low_cpu_mem_usage=False) ``` that otherwise would fail with `RuntimeError: .numpy() is not supported for tensor subclasses.` * Address comments
* update svd docs * fix example doc string * update return type hints/docs * update type hints * Fix typos in pipeline_stable_video_diffusion.py * make style && make fix-copies * Update src/diffusers/pipelines/stable_video_diffusion/pipeline_stable_video_diffusion.py Co-authored-by: Steven Liu <[email protected]> * Update src/diffusers/pipelines/stable_video_diffusion/pipeline_stable_video_diffusion.py Co-authored-by: Steven Liu <[email protected]> * update based on suggestion --------- Co-authored-by: M. Tolga Cangöz <[email protected]> Co-authored-by: Steven Liu <[email protected]>
Update callback.md Co-authored-by: Sayak Paul <[email protected]>
errors should be caught as soon as possible.
* Create promptdiffusioncontrolnet.py * Update __init__.py Added PromptDiffusionControlNetModel * Update __init__.py Added PromptDiffusionControlNetModel * Update promptdiffusioncontrolnet.py * Create pipeline_prompt_diffusion.py Added Prompt Diffusion pipeline. * Create convert_original_promptdiffusion_to_diffusers.py * Update convert_from_ckpt.py Added download_promptdiffusion_from_original_ckpt, convert_promptdiffusion_checkpoint * Update promptdiffusioncontrolnet.py * Update pipeline_prompt_diffusion.py * Update README.md * Update pipeline_prompt_diffusion.py * Delete src/diffusers/models/promptdiffusioncontrolnet.py * Update __init__.py * Update __init__.py * Delete scripts/convert_original_promptdiffusion_to_diffusers.py * Update convert_from_ckpt.py * Update README.md * Delete examples/community/pipeline_prompt_diffusion.py * Create README.md * Create promptdiffusioncontrolnet.py * Create convert_original_promptdiffusion_to_diffusers.py * Create pipeline_prompt_diffusion.py * Update README.md * Update pipeline_prompt_diffusion.py * Update README.md * Update pipeline_prompt_diffusion.py * Update convert_original_promptdiffusion_to_diffusers.py * Update promptdiffusioncontrolnet.py * Update README.md --------- Co-authored-by: Sayak Paul <[email protected]>
* add: support TCD scheduler --------- Co-authored-by: Sayak Paul <[email protected]>
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