- 11 Sep, 2023 1 commit
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Dhruv Nair authored
* initial commit * move modules to import struct * add dummy objects and _LazyModule * add lazy import to schedulers * clean up unused imports * lazy import on models module * lazy import for schedulers module * add lazy import to pipelines module * lazy import altdiffusion * lazy import audio diffusion * lazy import audioldm * lazy import consistency model * lazy import controlnet * lazy import dance diffusion ddim ddpm * lazy import deepfloyd * lazy import kandinksy * lazy imports * lazy import semantic diffusion * lazy imports * lazy import stable diffusion * move sd output to its own module * clean up * lazy import t2iadapter * lazy import unclip * lazy import versatile and vq diffsuion * lazy import vq diffusion * helper to fetch objects from modules * lazy import sdxl * lazy import txt2vid * lazy import stochastic karras * fix model imports * fix bug * lazy import * clean up * clean up * fixes for tests * fixes for tests * clean up * remove import of torch_utils from utils module * clean up * clean up * fix mistake import statement * dedicated modules for exporting and loading * remove testing utils from utils module * fixes from merge conflicts * Update src/diffusers/pipelines/kandinsky2_2/__init__.py * fix docs * fix alt diffusion copied from * fix check dummies * fix more docs * remove accelerate import from utils module * add type checking * make style * fix check dummies * remove torch import from xformers check * clean up error message * fixes after upstream merges * dummy objects fix * fix tests * remove unused module import --------- Co-authored-by:Patrick von Platen <patrick.v.platen@gmail.com>
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- 06 Sep, 2023 1 commit
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Kashif Rasul authored
* initial * initial * added initial convert script for paella vqmodel * initial wuerstchen pipeline * add LayerNorm2d * added modules * fix typo * use model_v2 * embed clip caption amd negative_caption * fixed name of var * initial modules in one place * WuerstchenPriorPipeline * inital shape * initial denoising prior loop * fix output * add WuerstchenPriorPipeline to __init__.py * use the noise ratio in the Prior * try to save pipeline * save_pretrained working * Few additions * add _execution_device * shape is int * fix batch size * fix shape of ratio * fix shape of ratio * fix output dataclass * tests folder * fix formatting * fix float16 + started with generator * Update pipeline_wuerstchen.py * removed vqgan code * add WuerstchenGeneratorPipeline * fix WuerstchenGeneratorPipeline * fix docstrings * fix imports * convert generator pipeline * fix convert * Work on Generator Pipeline. WIP * Pipeline works with our diffuzz code * apply scale factor * removed vqgan.py * use cosine schedule * redo the denoising loop * Update src/diffusers/models/resnet.py Co-authored-by:
Dominic Rampas <d6582533@gmail.com> Co-authored-by:
Dominic Rampas <61938694+dome272@users.noreply.github.com>
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- 02 Sep, 2023 1 commit
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Harutatsu Akiyama authored
* [ControlNet SDXL Inpainting] Support inpainting of ControlNet SDXL Co-authored-by: Jiabin Bai 1355864570@qq.com --------- Co-authored-by:Harutatsu Akiyama <kf.zy.qin@gmail.com>
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- 01 Sep, 2023 1 commit
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Nguyễn Công Tú Anh authored
* Add GLIGEN Text Image implementation * add style transfer from image * fix check_repository_consistency * add convert script GLIGEN model to Diffusers * rename attention type * fix style code * remove PositionNetTextImage * Revert "fix check_repository_consistency" This reverts commit 15f098c96e00bb9e67b831161615b30a2d28d815. * change attention type name * update docs for GLIGEN * change examples with hf-document-image * fix style * add CLIPImageProjection for GLIGEN * Add new encode_prompt, load project matrix in pipe init * move CLIPImageProjection to stable_diffusion * add comment
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- 29 Aug, 2023 1 commit
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Chong Mou authored
* T2I-Adapter-XL * update * update * add pipeline * modify pipeline * modify pipeline * modify pipeline * modify pipeline * modify pipeline * modify modeling_text_unet * fix styling. * fix: copies. * adapter settings * new test case * new test case * debugging * debugging * debugging * debugging * debugging * debugging * debugging * debugging * revert prints. * new test case * remove print * org test case * add test_pipeline * styling. * fix copies. * modify test parameter * style. * add adapter-xl doc * double quotes in docs * Fix potential type mismatch * style. --------- Co-authored-by:sayakpaul <spsayakpaul@gmail.com>
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- 28 Aug, 2023 1 commit
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YiYi Xu authored
--------- Co-authored-by:
yiyixuxu <yixu310@gmail,com> Co-authored-by:
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- 25 Aug, 2023 1 commit
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Sanchit Gandhi authored
* from audioldm * fix vae * move to new pipeline * copied from audioldm * remove redundant control flow * iterate * fix docstring * finish pipeline * tests: from audioldm2 * iterate * finish fast tests * finish slow integration tests * add docs * remove dtype test * update toctree * "copied from" in conversion (where possible) * Update docs/source/en/api/pipelines/musicldm.md Co-authored-by:
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- 21 Aug, 2023 1 commit
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Sanchit Gandhi authored
* from audioldm * unet down + mid * vae, clap, flan-t5 * start sequence audio mae * iterate on audioldm encoder * finish encoder * finish weight conversion * text pre-processing * gpt2 pre-processing * fix projection model * working * unet equivalence * finish in base * add unet cond * finish unet * finish custom unet * start clean-up * revert base unet changes * refactor pre-processing * tests: from audioldm * fix some tests * more fixes * iterate on tests * make fix copies * harden fast tests * slow integration tests * finish tests * update checkpoint * update copyright * docs * remove outdated method * add docstring * make style * remove decode latents * enable cpu offload * (text_encoder_1, tokenizer_1) -> (text_encoder, tokenizer) * more clean up * more refactor * build pr docs * Update docs/source/en/api/pipelines/audioldm2.md Co-authored-by:
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- 16 Aug, 2023 1 commit
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nikhil-masterful authored
* Add GLIGEN implementation * GLIGEN: Fix code quality check failures * GLIGEN: Fix Import block un-sorted or un-formatted failures * GLIGEN: Fix check_repository_consistency failures * GLIGEN: Add 'PositionNet' to versatile_diffusion/modeling_text_unet.py * GLIGEN: check_repository_consistency: fix 'copy does not match' error * GLIGEN: Fix review comments (1) * GLIGEN: Fix E721 Do not compare types, use `isinstance()` failures * GLIGEN : Ensure _encode_prompt() copy matches to StableDiffusionPipeline * GLIGEN: Fix ruff E721 failure in unidiffuser/test_unidiffuser.py * GLIGEN: doc_builder: restyle pipeline_stable_diffusion_gligen.py * GIGLEN: reset files unrelated to gligen * GLIGEN: Fix documentation comments (1) * GLIGEN: Fix review comments (2) * GLIGEN: Added FastTest * GLIGEN: Fix review comments (3)
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- 28 Jul, 2023 1 commit
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Patrick von Platen authored
[SDXL] Make watermarker optional under certain circumstances to improve usability of SDXL 1.0 (#4346) * improve sdxl * more fixes * improve sdxl * improve sdxl * improve sdxl * finish
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- 26 Jul, 2023 1 commit
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Patrick von Platen authored
* Add combined pipeline * Download readme * Upload * up * up * fix final * Add enable model cpu offload kandinsky * finish * finish * Fix * fix more * make style * fix kandinsky mask * fix inpainting test * add callbacks * add tests * fix tests * Apply suggestions from code review Co-authored-by:
YiYi Xu <yixu310@gmail.com> * docs * docs * correct docs * fix tests * add warning * correct docs --------- Co-authored-by:
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- 25 Jul, 2023 2 commits
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Harutatsu Akiyama authored
* Support instruction pix2pix sdxl * Support instruction pix2pix sdxl * Support instruction pix2pix sdxl * Support instruction pix2pix sdxl * Support instruction pix2pix sdxl * Support instruction pix2pix sdxl * Support instruction pix2pix sdxl * Support instruction pix2pix sdxl * Support instruction pix2pix sdxl * Support instruction pix2pix sdxl * Support instruction pix2pix sdxl * Support instruction pix2pix sdxl * Support instruction pix2pix sdxl * Support instruction pix2pix sdxl * Support instruction pix2pix sdxl * Support instruction pix2pix sdxl * Support instruction pix2pix sdxl * [Community] Implementation of the IADB community pipeline (#3996) * community pipeline: implementation of iadb * iadb.py: reformat using black * iadb.py: linting update * add kandinsky to readme table (#4081) Co-authored-by:
Thomas Chambon <36728882+tchambon@users.noreply.github.com> Co-authored-by:
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YiYi Xu authored
* initial * style * from ...pipelines -> from ..pipeline_util * make style * fix-copies * fix value_guided_sampling oops * style * add test * Show failing test * update from_pipe * fix * add controlnet, additional test and register unused original config * update for controlnet * Apply suggestions from code review Co-authored-by:
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- 18 Jul, 2023 1 commit
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Sayak Paul authored
* add: controlnet sdxl. * modifications to controlnet. * run styling. * add: __init__.pys * incorporate https://github.com/huggingface/diffusers/pull/4019 changes. * run make fix-copies. * resize the conditioning images. * remove autocast. * run styling. * disable autocast. * debugging * device placement. * back to autocast. * remove comment. * save some memory by reusing the vae and unet in the pipeline. * apply styling. * Allow low precision sd xl * finish * finish * changes to accommodate the improved VAE. * modifications to how we handle vae encoding in the training. * make style * make existing controlnet fast tests pass. * change vae checkpoint cli arg. * fix: vae pretrained paths. * fix: steps in get_scheduler(). * debugging. * debugging./ * fix: weight conversion. * add: docs. * add: limited tests./ * add: datasets to the requirements. * update docstrings and incorporate the usage of watermarking. * incorporate fix from #4083 * fix watermarking dependency handling. * run make-fix-copies. * Empty-Commit * Update requirements_sdxl.txt * remove vae upcasting part. * Apply suggestions from code review Co-authored-by:
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- 17 Jul, 2023 1 commit
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Will Berman authored
* Quick implementation of t2i-adapter Load adapter module with from_pretrained Prototyping generalized adapter framework Writeup doc string for sideload framework(WIP) + some minor update on implementation Update adapter models Remove old adapter optional args in UNet Add StableDiffusionAdapterPipeline unit test Handle cpu offload in StableDiffusionAdapterPipeline Auto correct coding style Update model repo name to "RzZ/sd-v1-4-adapter-pipeline" Refactor MultiAdapter to better compatible with config system Export MultiAdapter Create pipeline document template from controlnet Create dummy objects Supproting new AdapterLight model Fix StableDiffusionAdapterPipeline common pipeline test [WIP] Update adapter pipeline document Handle num_inference_steps in StableDiffusionAdapterPipeline Update definition of Adapter "channels_in" Update documents Apply code style Fix doc typo and merge error Update doc string and example Quality of life improvement Remove redundant code and file from prototyping Remove unused pageage Remove comments Fix title Fix typo Add conditioning scale arg Bring back old implmentation Offload sideload Add supply info on document Update src/diffusers/models/adapter.py Co-authored-by:
Will Berman <wlbberman@gmail.com> Update MultiAdapter constructor Swap out custom checkpoint and update pipeline constructor Update docment Apply suggestions from code review Co-authored-by:
HimariO <dsfhe49854@gmail.com>
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- 14 Jul, 2023 1 commit
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Patrick von Platen authored
* Add more * more * up * Get ensemble of expert denoisers working * Fix code * add tests * up
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- 06 Jul, 2023 3 commits
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YiYi Xu authored
* refactor prior_transformer adding conversion script add pipeline add step_index from pipeline, + remove permute add zero pad token remove copy from statement for betas_for_alpha_bar function * add * add * update conversion script for renderer model * refactor camera a little bit * clean up * style * fix copies * Update src/diffusers/schedulers/scheduling_heun_discrete.py Co-authored-by:
Pedro Cuenca <pedro@huggingface.co> Co-authored-by:
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YiYi Xu authored
* Kandinsky2_2 * fix init kandinsky2_2 * kandinsky2_2 fix inpainting * rename pipelines: remove decoder + 2_2 -> V22 * Update scheduling_unclip.py * remove text_encoder and tokenizer arguments from doc string * add test for text2img * add tests for text2img & img2img * fix * add test for inpaint * add prior tests * style * copies * add controlnet test * style * add a test for controlnet_img2img * update prior_emb2emb api to accept image_embedding or image * add a test for prior_emb2emb * style * remove try except * example * fix * add doc string examples to all kandinsky pipelines * style * update doc * style * add a top about 2.2 * Apply suggestions from code review Co-authored-by:
Shahmatov Arseniy <62886550+cene555@users.noreply.github.com> Co-authored-by:
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Patrick von Platen authored
* Add new text encoder * add transformers depth * More * Correct conversion script * Fix more * Fix more * Correct more * correct text encoder * Finish all * proof that in works in run local xl * clean up * Get refiner to work * Add red castle * Fix batch size * Improve pipelines more * Finish text2image tests * Add img2img test * Fix more * fix import * Fix embeddings for classic models (#3888) Fix embeddings for classic SD models. * Allow multiple prompts to be passed to the refiner (#3895) * finish more * Apply suggestions from code review * add watermarker * Model offload (#3889) * Model offload. * Model offload for refiner / img2img * Hardcode encoder offload on img2img vae encode Saves some GPU RAM in img2img / refiner tasks so it remains below 8 GB. --------- Co-authored-by:
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- 05 Jul, 2023 1 commit
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dg845 authored
* initial commit * Improve consistency models sampling implementation. * Add CMStochasticIterativeScheduler, which implements the multi-step sampler (stochastic_iterative_sampler) in the original code, and make further improvements to sampling. * Add Unet blocks for consistency models * Add conversion script for Unet * Fix bug in new unet blocks * Fix attention weight loading * Make design improvements to ConsistencyModelPipeline and CMStochasticIterativeScheduler and add initial version of tests. * make style * Make small random test UNet class conditional and set resnet_time_scale_shift to 'scale_shift' to better match consistency model checkpoints. * Add support for converting a test UNet and non-class-conditional UNets to the consistency models conversion script. * make style * Change num_class_embeds to 1000 to better match the original consistency models implementation. * Add support for distillation in pipeline_consistency_models.py. * Improve consistency model tests: - Get small testing checkpoints from hub - Modify tests to take into account "distillation" parameter of ConsistencyModelPipeline - Add onestep, multistep tests for distillation and distillation + class conditional - Add expected image slices for onestep tests * make style * Improve ConsistencyModelPipeline: - Add initial support for class-conditional generation - Fix initial sigma for onestep generation - Fix some sigma shape issues * make style * Improve ConsistencyModelPipeline: - add latents __call__ argument and prepare_latents method - add check_inputs method - add initial docstrings for ConsistencyModelPipeline.__call__ * make style * Fix bug when randomly generating class labels for class-conditional generation. * Switch CMStochasticIterativeScheduler to configuring a sigma schedule and make related changes to the pipeline and tests. * Remove some unused code and make style. * Fix small bug in CMStochasticIterativeScheduler. * Add expected slices for multistep sampling tests and make them pass. * Work on consistency model fast tests: - in pipeline, call self.scheduler.scale_model_input before denoising - get expected slices for Euler and Heun scheduler tests - make Euler test pass - mark Heun test as expected fail because it doesn't support prediction_type "sample" yet - remove DPM and Euler Ancestral tests because they don't support use_karras_sigmas * make style * Refactor conversion script to make it easier to add more model architectures to convert in the future. * Work on ConsistencyModelPipeline tests: - Fix device bug when handling class labels in ConsistencyModelPipeline.__call__ - Add slow tests for onestep and multistep sampling and make them pass - Refactor fast tests - Refactor ConsistencyModelPipeline.__init__ * make style * Remove the add_noise and add_noise_to_input methods from CMStochasticIterativeScheduler for now. * Run python utils/check_copies.py --fix_and_overwrite python utils/check_dummies.py --fix_and_overwrite to make dummy objects for new pipeline and scheduler. * Make fast tests from PipelineTesterMixin pass. * make style * Refactor consistency models pipeline and scheduler: - Remove support for Karras schedulers (only support CMStochasticIterativeScheduler) - Move sigma manipulation, input scaling, denoising from pipeline to scheduler - Make corresponding changes to tests and ensure they pass * make style * Add docstrings and further refactor pipeline and scheduler. * make style * Add initial version of the consistency models documentation. * Refactor custom timesteps logic following DDPMScheduler/IFPipeline and temporarily add torch 2.0 SDPA kernel selection logic for debugging. * make style * Convert current slow tests to use fp16 and flash attention. * make style * Add slow tests for normal attention on cuda device. * make style * Fix attention weights loading * Update consistency model fast tests for new test checkpoints with attention fix. * make style * apply suggestions * Add add_noise method to CMStochasticIterativeScheduler (copied from EulerDiscreteScheduler). * Conversion script now outputs pipeline instead of UNet and add support for LSUN-256 models and different schedulers. * When both timesteps and num_inference_steps are supplied, raise warning instead of error (timesteps take precedence). * make style * Add remaining diffusers model checkpoints for models in the original consistency model release and update usage example. * apply suggestions from review * make style * fix attention naming * Add tests for CMStochasticIterativeScheduler. * make style * Make CMStochasticIterativeScheduler tests pass. * make style * Override test_step_shape in CMStochasticIterativeSchedulerTest instead of modifying it in SchedulerCommonTest. * make style * rename some models * Improve API * rename some models * Remove duplicated block * Add docstring and make torch compile work * More fixes * Fixes * Apply suggestions from code review * Apply suggestions from code review * add more docstring * update consistency conversion script --------- Co-authored-by:
ayushmangal <ayushmangal@microsoft.com> Co-authored-by:
Ayush Mangal <43698245+ayushtues@users.noreply.github.com> Co-authored-by:
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- 02 Jul, 2023 1 commit
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Patrick von Platen authored
* Add image to image video * Improve * better naming * make fix copies * add docs * finish tests * trigger tests * make style * correct * finish * Fix more * make style * finish
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- 20 Jun, 2023 1 commit
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Andy Shih authored
* add paradigms parallel sampling pipeline * linting * ran make fix-copies * add paradigms parallel sampling pipeline * linting * ran make fix-copies * Apply suggestions from code review Co-authored-by:
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- 15 Jun, 2023 1 commit
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estelleafl authored
* added ldm3d pipeline and updated image processor to support depth * added description * added paper reference * added docs * fixed bug * added test * Update tests/pipelines/stable_diffusion/test_stable_diffusion_ldm3d.py Co-authored-by:
Aflalo <estellea@isl-gpu27.rr.intel.com> Co-authored-by:
Anahita Bhiwandiwalla <anahita.bhiwandiwalla@intel.com> Co-authored-by:
Aflalo <estellea@isl-gpu26.rr.intel.com> Co-authored-by:
Aflalo <estellea@isl-iam1.rr.intel.com> Co-authored-by:
Aflalo <estellea@isl-gpu42.rr.intel.com> Co-authored-by:
Aflalo <estellea@isl-gpu43.rr.intel.com>
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- 26 May, 2023 1 commit
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dg845 authored
* Fix a bug of pano when not doing CFG (#3030) * Fix a bug of pano when not doing CFG * enhance code quality * apply formatting. --------- Co-authored-by:
Asfiya Baig <asfiyab@nvidia.com> * update installation command Signed-off-by:
⚙ ️chore(transformer_2d) update function signature for encoder_hidden_states * Update pipeline_stable_diffusion_inpaint_legacy.py (#2903) * Update pipeline_stable_diffusion_inpaint_legacy.py * fix preprocessing of Pil images with adequate batch size * revert map * add tests * reformat * Update test_stable_diffusion_inpaint_legacy.py * Update test_stable_diffusion_inpaint_legacy.py * Update test_stable_diffusion_inpaint_legacy.py * Update test_stable_diffusion_inpaint_legacy.py * next try to fix the style * wth is this * Update testing_utils.py * Update testing_utils.py * Update test_stable_diffusion_inpaint_legacy.py * Update test_stable_diffusion_inpaint_legacy.py * Update test_stable_diffusion_inpaint_legacy.py * Update test_stable_diffusion_inpaint_legacy.py * Update test_stable_diffusion_inpaint_legacy.py * Update test_stable_diffusion_inpaint_legacy.py --------- Co-authored-by:root <fulong_ye@163.com> * controlnet training resize inputs to multiple of 8 (#3135) controlnet training center crop input images to multiple of 8 The pipeline code resizes inputs to multiples of 8. Not doing this resizing in the training script is causing the encoded image to have different height/width dimensions than the encoded conditioning image (which uses a separate encoder that's part of the controlnet model). We resize and center crop the inputs to make sure they're the same size (as well as all other images in the batch). We also check that the initial resolution is a multiple of 8. * adding custom diffusion training to diffusers examples (#3031) * diffusers==0.14.0 update * custom diffusion update * custom diffusion update * custom diffusion update * custom diffusion update * custom diffusion update * custom diffusion update * custom diffusion * custom diffusion * custom diffusion * custom diffusion * custom diffusion * apply formatting and get rid of bare except. * refactor readme and other minor changes. * misc refactor. * fix: repo_id issue and loaders logging bug. * fix: save_model_card. * fix: save_model_card. * fix: save_model_card. * add: doc entry. * refactor doc,. * custom diffusion * custom diffusion * custom diffusion * apply style. * remove tralining whitespace. * fix: toctree entry. * remove unnecessary print. * custom diffusion * custom diffusion * custom diffusion test * custom diffusion xformer update * custom diffusion xformer update * custom diffusion xformer update --------- Co-authored-by:
Nupur Kumari <nupurkumari@Nupurs-MacBook-Pro.local> Co-authored-by:
Nupur Kumari <nupurkumari@nupurs-mbp.wifi.local.cmu.edu> * make style * Update custom_diffusion.mdx (#3165) Add missing newlines for rendering the links correctly * Added distillation for quantization example on textual inversion. (#2760) * Added distillation for quantization example on textual inversion. Signed-off-by:
Ye, Xinyu <xinyu.ye@intel.com> * refined readme and code style. Signed-off-by:
Suraj Patil <surajp815@gmail.com> * update * Finish * Apply suggestions from code review --------- Co-authored-by:
njindal <njindal@adobe.com> * [Stochastic Sampler][Slow Test]: Cuda test fixes (#3257) [Slow Test]: Cuda test fixes Co-authored-by:
multimodalart <joaopaulo.passos+multimodal@gmail.com> * fix typo in score sde pipeline (#3132) * Fix typo in textual inversion JAX training script (#3123) The pipeline is built as `pipe` but then used as `pipeline`. * AudioDiffusionPipeline - fix encode method after config changes (#3114) * config fixes * deprecate get_input_dims * Revert "Revert "[Community Pipelines] Update lpw_stable_diffusion pipeline"" (#3265) Revert "Revert "[Community Pipelines] Update lpw_stable_diffusion pipeline" (#3201)" This reverts commit 91a2a80e . * Fix community pipelines (#3266) * update notebook (#3259) Co-authored-by:
yiyixuxu <yixu@yis-macbook-pro.lan> * [docs] add notes for stateful model changes (#3252) * [docs] add notes for stateful model changes * Update docs/source/en/optimization/fp16.mdx Co-authored-by:
👽 qol improvements for LoRA. * better function name? * fix: LoRA weight loading with the new format. * address Patrick's comments. * Apply suggestions from code review Co-authored-by:Horace He <horacehe2007@yahoo.com> * Add Horace He as co-author. Co-authored-by:
🚲 * relax tol for sd 1.0 * relax tol for controlnet. * determinism to img var. * relax tol for img variation. * tolerance to i2i sd * make style * determinism to inpaint. * relax tolerance for inpaiting. * determinism for inpainting legacy * relax tolerance. * determinism to instruct pix2pix * determinism to model editing. * model editing tolerance. * panorama determinism * determinism to pix2pix zero. * determinism to sag. * sd 2. determinism * sd. tolerance * disallow tf32 matmul. * relax tolerance is all you need. * make style and determinism to sd 2 depth * relax tolerance for depth. * tolerance to diffedit. * tolerance to sd 2 inpaint. * up tolerance. * determinism in upscaling. * tolerance in upscaler. * more tolerance relaxation. * determinism to v pred. * up tol for v_pred * unclip determinism * determinism to unclip img2img * determinism to text to video. * determinism to last set of tests * up tol. * vq cumsum doesn't have a deterministic kernel * relax tol * relax tol * [docs] Add transformers to install (#3388) add transformers to install * [deepspeed] partial ZeRO-3 support (#3076) * [deepspeed] partial ZeRO-3 support * cleanup * improve deepspeed fixes * Improve * make style --------- Co-authored-by:⚔ benchmark reports done * Apply suggestions from code review Co-authored-by:yueyang.hyy <yueyang.hyy@alibaba-inc.com> * [From ckpt] Fix from_ckpt (#3466) * Correct from_ckpt * make style * Update full dreambooth script to work with IF (#3425) * Add IF dreambooth docs (#3470) * parameterize pass single args through tuple (#3477) * attend and excite tests disable determinism on the class level (#3478) * dreambooth docs torch.compile note (#3471) * dreambooth docs torch.compile note * Update examples/dreambooth/README.md Co-authored-by:
StAlKeR7779 <stalkek7779@yandex.ru> --------- Co-authored-by:
Chanran Kim <seriousran@gmail.com> * DataLoader respecting EXIF data in Training Images (#3465) * DataLoader will now bake in any transforms or image manipulations contained in the EXIF Images may have rotations stored in EXIF. Training using such images will cause those transforms to be ignored while training and thus produce unexpected results * Fixed the Dataloading EXIF issue in main DreamBooth training as well * Run make style (black & isort) * make style * feat: allow disk offload for diffuser models (#3285) * allow disk offload for diffuser models * sort import * add max_memory argument * Changed sample[0] to images[0] (#3304) A pipeline object stores the results in `images` not in `sample`. Current code blocks don't work. * Typo in tutorial (#3295) * Torch compile graph fix (#3286) * fix more * Fix more * fix more * Apply suggestions from code review * fix * make style * make fix-copies * fix * make sure torch compile * Clean * fix test * Postprocessing refactor img2img (#3268) * refactor img2img VaeImageProcessor.postprocess * remove copy from for init, run_safety_checker, decode_latents Co-authored-by:
🚲 * relax tol for sd 1.0 * relax tol for controlnet. * determinism to img var. * relax tol for img variation. * tolerance to i2i sd * make style * determinism to inpaint. * relax tolerance for inpaiting. * determinism for inpainting legacy * relax tolerance. * determinism to instruct pix2pix * determinism to model editing. * model editing tolerance. * panorama determinism * determinism to pix2pix zero. * determinism to sag. * sd 2. determinism * sd. tolerance * disallow tf32 matmul. * relax tolerance is all you need. * make style and determinism to sd 2 depth * relax tolerance for depth. * tolerance to diffedit. * tolerance to sd 2 inpaint. * up tolerance. * determinism in upscaling. * tolerance in upscaler. * more tolerance relaxation. * determinism to v pred. * up tol for v_pred * unclip determinism * determinism to unclip img2img * determinism to text to video. * determinism to last set of tests * up tol. * vq cumsum doesn't have a deterministic kernel * relax tol * relax tol * [docs] Add transformers to install (#3388) add transformers to install * [deepspeed] partial ZeRO-3 support (#3076) * [deepspeed] partial ZeRO-3 support * cleanup * improve deepspeed fixes * Improve * make style --------- Co-authored-by:⚔ benchmark reports done * Apply suggestions from code review Co-authored-by:Ilia Larchenko <41329713+IliaLarchenko@users.noreply.github.com> Co-authored-by:
Umar <55330742+mu94-csl@users.noreply.github.com> Co-authored-by:
Mylo <36931363+gitmylo@users.noreply.github.com> Co-authored-by:
Markus Pobitzer <markuspobitzer@gmail.com> Co-authored-by:
Cheng Lu <lucheng.lc15@gmail.com> Co-authored-by:
Steven Liu <59462357+stevhliu@users.noreply.github.com> Co-authored-by:
Isamu Isozaki <isamu.website@gmail.com> Co-authored-by:
Cesar Aybar <csaybar@gmail.com> Co-authored-by:
Will Rice <will@spokestack.io> Co-authored-by:
Adrià Arrufat <1671644+arrufat@users.noreply.github.com> Co-authored-by:
Sanchit Gandhi <93869735+sanchit-gandhi@users.noreply.github.com> Co-authored-by:
At-sushi <dkahw210@kyoto.zaq.ne.jp> Co-authored-by:
Lucca Zenóbio <luccazen@gmail.com> Co-authored-by:
Lysandre Debut <lysandre@huggingface.co> Co-authored-by:
Isotr0py <41363108+Isotr0py@users.noreply.github.com> Co-authored-by:
pdoane <pdoane2@gmail.com> Co-authored-by:
Rupert Menneer <71332436+rupertmenneer@users.noreply.github.com> Co-authored-by:
sudowind <wfpkueecs@163.com> Co-authored-by:
Takuma Mori <takuma104@gmail.com> Co-authored-by:
Stas Bekman <stas00@users.noreply.github.com> Co-authored-by:
Laureηt <laurentfainsin@protonmail.com> Co-authored-by:
Jongwoo Han <jongwooo.han@gmail.com> Co-authored-by:
asfiyab-nvidia <117682710+asfiyab-nvidia@users.noreply.github.com> Co-authored-by:
clarencechen <clarencechenct@gmail.com> Co-authored-by:
Laureηt <laurent@fainsin.bzh> Co-authored-by:
superlabs-dev <133080491+superlabs-dev@users.noreply.github.com> Co-authored-by:
Dev Aggarwal <devxpy@gmail.com> Co-authored-by:
Vimarsh Chaturvedi <vimarsh.c@gmail.com> Co-authored-by:
7eu7d7 <31194890+7eu7d7@users.noreply.github.com> Co-authored-by:
cmdr2 <shashank.shekhar.global@gmail.com> Co-authored-by:
wfng92 <43742196+wfng92@users.noreply.github.com> Co-authored-by:
Glaceon-Hyy <ffheyy0017@gmail.com> Co-authored-by:
Ernie Chu <51432514+ernestchu@users.noreply.github.com> Co-authored-by:
Andranik Movsisyan <48154088+19and99@users.noreply.github.com> Co-authored-by:
Andreas Steiner <andstein@google.com> Co-authored-by:
Joseph Coffland <github@joe.coffland.com> Co-authored-by:
Tommaso De Rossi <beats.by.morse@gmail.com> Co-authored-by:
Cristian Garcia <cgarcia.e88@gmail.com> Co-authored-by:
cmdr2 <secondary.cmdr2@gmail.com> Co-authored-by:
1lint <105617163+1lint@users.noreply.github.com> Co-authored-by:
Chanchana Sornsoontorn <off9955555@gmail.com> Co-authored-by:
hwuebben <wbben123@yahoo.de> Co-authored-by:
superhero-7 <57797766+superhero-7@users.noreply.github.com> Co-authored-by:
nupurkmr9 <nupurkmr9@gmail.com> Co-authored-by:
Mishig <mishig.davaadorj@coloradocollege.edu> Co-authored-by:
regisss <15324346+regisss@users.noreply.github.com> Co-authored-by:
Youssef Adarrab <104783077+youssefadr@users.noreply.github.com> Co-authored-by:
Chengrui Wang <80876977+crywang@users.noreply.github.com> Co-authored-by:
SkyTNT <SKYTNT@outlook.com> Co-authored-by:
Isaac <34376531+init-22@users.noreply.github.com> Co-authored-by:
Yuchen Fan <fyc0624@gmail.com> Co-authored-by:
Nipun Jindal <jindal.nipun@gmail.com> Co-authored-by:
apolinário <joaopaulo.passos@gmail.com> Co-authored-by:
Xie Zejian <xiezej@gmail.com> Co-authored-by:
Jair Trejo <jairtrejo@gmail.com> Co-authored-by:
Robert Dargavel Smith <teticio@gmail.com> Co-authored-by:
Joqsan <6027118+Joqsan@users.noreply.github.com> Co-authored-by:
NimenDavid <312648004@qq.com> Co-authored-by:
M. Tolga Cangöz <46008593+standardAI@users.noreply.github.com> Co-authored-by:
timegate <timegate@kaist.ac.kr> Co-authored-by:
Jason Kuan <jason9075@users.noreply.github.com> Co-authored-by:
w4ffl35 <w4ffl35@ml1.net> Co-authored-by:
Seongsu Park <tjdtnsu@gmail.com> Co-authored-by:
Ambrosiussen <paul@ambrosiussen.com> Co-authored-by:
Hari Krishna <37787894+hari10599@users.noreply.github.com> Co-authored-by:
takuoko <to78314910@gmail.com> Co-authored-by:
Birch-san <Birch-san@users.noreply.github.com>
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- 25 May, 2023 1 commit
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YiYi Xu authored
add kandinsky2.1 --------- Co-authored-by:
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- 16 May, 2023 1 commit
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Patrick von Platen authored
* refactor controlnet and add img2img and inpaint * First draft to get pipelines to work * make style * Fix more * Fix more * More tests * Fix more * Make inpainting work * make style and more tests * Apply suggestions from code review * up * make style * Fix imports * Fix more * Fix more * Improve examples * add test * Make sure import is correctly deprecated * Make sure everything works in compile mode * make sure authorship is correctly attributed
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- 28 Apr, 2023 1 commit
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clarencechen authored
* Update Pix2PixZero Auto-correlation Loss * Add Stable Diffusion DiffEdit pipeline * Add draft documentation and import code * Bugfixes and refactoring * Add option to not decode latents in the inversion process * Harmonize preprocessing * Revert "Update Pix2PixZero Auto-correlation Loss" This reverts commit b218062fed08d6cc164206d6cb852b2b7b00847a. * Update annotations * rename `compute_mask` to `generate_mask` * Update documentation * Update docs * Update Docs * Fix copy * Change shape of output latents to batch first * Update docs * Add first draft for tests * Bugfix and update tests * Add `cross_attention_kwargs` support for all pipeline methods * Fix Copies * Add support for PIL image latents Add support for mask broadcasting Update docs and tests Align `mask` argument to `mask_image` Remove height and width arguments * Enable MPS Tests * Move example docstrings * Fix test * Fix test * fix pipeline inheritance * Harmonize `prepare_image_latents` with StableDiffusionPix2PixZeroPipeline * Register modules set to `None` in config for `test_save_load_optional_components` * Move fixed logic to specific test class * Clean changes to other pipelines * Update new tests to coordinate with #2953 * Update slow tests for better results * Safety to avoid potential problems with torch.inference_mode * Add reference in SD Pipeline Overview * Fix tests again * Enforce determinism in noise for generate_mask * Fix copies * Widen test tolerance for fp16 based on `test_stable_diffusion_upscale_pipeline_fp16` * Add LoraLoaderMixin and update `prepare_image_latents` * clean up repeat and reg * bugfix * Remove invalid args from docs Suppress spurious warning by repeating image before latent to mask gen
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- 25 Apr, 2023 1 commit
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Patrick von Platen authored
* add * clean * up * clean up more * fix more tests * Improve docs further * improve * more fixes docs * Improve docs more * Update src/diffusers/models/unet_2d_condition.py * fix * up * update doc links * make fix-copies * add safety checker and watermarker to stage 3 doc page code snippets * speed optimizations docs * memory optimization docs * make style * add watermarking snippets to doc string examples * make style * use pt_to_pil helper functions in doc strings * skip mps tests * Improve safety * make style * new logic * fix * fix bad onnx design * make new stable diffusion upscale pipeline model arguments optional * define has_nsfw_concept when non-pil output type * lowercase linked to notebook name --------- Co-authored-by:
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- 10 Apr, 2023 1 commit
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Andranik Movsisyan authored
* add TextToVideoZeroPipeline and CrossFrameAttnProcessor * add docs for text-to-video zero * add teaser image for text-to-video zero docs * Fix review changes. Add Documentation. Add test * clean up the codes in pipeline_text_to_video.py. Add descriptive comments and docstrings * make style && make quality * make fix-copies * make requested changes to docs. use huggingface server links for resources, delete res folder * make style && make quality && make fix-copies * make style && make quality * Apply suggestions from code review --------- Co-authored-by:
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- 31 Mar, 2023 3 commits
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Patrick von Platen authored
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Patrick von Platen authored
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Patrick von Platen authored
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- 24 Mar, 2023 1 commit
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Bahjat Kawar authored
* TIME first commit * styling. * styling 2. * fixes; tests * apply styling and doc fix. * remove sups. * fixes * remove temp file * move augmentations to const * added doc entry * code quality * customize augmentations * quality * quality --------- Co-authored-by:
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- 23 Mar, 2023 3 commits
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Sanchit Gandhi authored
* Add AudioLDM * up * add vocoder * start unet * unconditional unet * clap, vocoder and vae * clean-up: conversion scripts * fix: conversion script token_type_ids * clean-up: pipeline docstring * tests: from SD * clean-up: cpu offload vocoder instead of safety checker * feat: adapt tests to audioldm * feat: add docs * clean-up: amend pipeline docstrings * clean-up: make style * clean-up: make fix-copies * fix: add doc path to toctree * clean-up: args for conversion script * clean-up: paths to checkpoints * fix: use conditional unet * clean-up: make style * fix: type hints for UNet * clean-up: docstring for UNet * clean-up: make style * clean-up: remove duplicate in docstring * clean-up: make style * clean-up: make fix-copies * clean-up: move imports to start in code snippet * fix: pass cross_attention_dim as a list/tuple to unet * clean-up: make fix-copies * fix: update checkpoint path * fix: unet cross_attention_dim in tests * film embeddings -> class embeddings * Apply suggestions from code review Co-authored-by:
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YiYi Xu authored
* add contronet flax --------- Co-authored-by: -
Kashif Rasul authored
* initial TokenEncoder and ContinuousEncoder * initial modules * added ContinuousContextTransformer * fix copy paste error * use numpy for get_sequence_length * initial terminal relative positional encodings * fix weights keys * fix assert * cross attend style: concat encodings * make style * concat once * fix formatting * Initial SpectrogramPipeline * fix input_tokens * make style * added mel output * ignore weights for config * move mel to numpy * import pipeline * fix class names and import * moved models to models folder * import ContinuousContextTransformer and SpectrogramDiffusionPipeline * initial spec diffusion converstion script * renamed config to t5config * added weight loading * use arguments instead of t5config * broadcast noise time to batch dim * fix call * added scale_to_features * fix weights * transpose laynorm weight * scale is a vector * scale the query outputs * added comment * undo scaling * undo depth_scaling * inital get_extended_attention_mask * attention_mask is none in self-attention * cleanup * manually invert attention * nn.linear need bias=False * added T5LayerFFCond * remove to fix conflict * make style and dummy * remove unsed variables * remove predict_epsilon * Move accelerate to a soft-dependency (#1134) * finish * finish * Update src/diffusers/modeling_utils.py * Update src/diffusers/pipeline_utils.py Co-authored-by:
Anton Lozhkov <anton@huggingface.co> * more fixes * fix Co-authored-by:
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- 22 Mar, 2023 1 commit
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Patrick von Platen authored
* [MS Text To Video} Add first text to video * upload * make first model example * match unet3d params * make sure weights are correcctly converted * improve * forward pass works, but diff result * make forward work * fix more * finish * refactor video output class. * feat: add support for a video export utility. * fix: opencv availability check. * run make fix-copies. * add: docs for the model components. * add: standalone pipeline doc. * edit docstring of the pipeline. * add: right path to TransformerTempModel * add: first set of tests. * complete fast tests for text to video. * fix bug * up * three fast tests failing. * add: note on slow tests * make work with all schedulers * apply styling. * add slow tests * change file name * update * more correction * more fixes * finish * up * Apply suggestions from code review * up * finish * make copies * fix pipeline tests * fix more tests * Apply suggestions from code review Co-authored-by:
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- 06 Mar, 2023 1 commit
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Sean Sube authored
* [Onnx] add Stable Diffusion Upscale pipeline * add a test for the OnnxStableDiffusionUpscalePipeline * check for VAE config before adjusting scaling factor * update test assertions, lint fixes * run fix-copies target * switch test checkpoint to one hosted on huggingface * partially restore attention mask * reshape embeddings after running text encoder * add longer nightly test for ONNX upscale pipeline * use package import to fix tests * fix scheduler compatibility and class labels dtype * use more precise type * remove LMS from fast tests * lookup latent and timestamp types * add docs for ONNX upscaling, rename lookup table * replace deprecated pipeline names in ONNX docs
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- 02 Mar, 2023 1 commit
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Takuma Mori authored
* add scaffold - copied convert_controlnet_to_diffusers.py from convert_original_stable_diffusion_to_diffusers.py * Add support to load ControlNet (WIP) - this makes Missking Key error on ControlNetModel * Update to convert ControlNet without error msg - init impl for StableDiffusionControlNetPipeline - init impl for ControlNetModel * cleanup of commented out * split create_controlnet_diffusers_config() from create_unet_diffusers_config() - add config: hint_channels * Add input_hint_block, input_zero_conv and middle_block_out - this makes missing key error on loading model * add unet_2d_blocks_controlnet.py - copied from unet_2d_blocks.py as impl CrossAttnDownBlock2D,DownBlock2D - this makes missing key error on loading model * Add loading for input_hint_block, zero_convs and middle_block_out - this makes no error message on model loading * Copy from UNet2DConditionalModel except __init__ * Add ultra primitive test for ControlNetModel inference * Support ControlNetModel inference - without exceptions * copy forward() from UNet2DConditionModel * Impl ControlledUNet2DConditionModel inference - test_controlled_unet_inference passed * Frozen weight & biases for training * Minimized version of ControlNet/ControlledUnet - test_modules_controllnet.py passed * make style * Add support model loading for minimized ver * Remove all previous version files * from_pretrained and inference test passed * copied from pipeline_stable_diffusion.py except `__init__()` * Impl pipeline, pixel match test (almost) passed. * make style * make fix-copies * Fix to add import ControlNet blocks for `make fix-copies` * Remove einops dependency * Support np.ndarray, PIL.Image for controlnet_hint * set default config file as lllyasviel's * Add support grayscale (hw) numpy array * Add and update docstrings * add control_net.mdx * add control_net.mdx to toctree * Update copyright year * Fix to add PIL.Image RGB->BGR conversion - thanks @Mystfit * make fix-copies * add basic fast test for controlnet * add slow test for controlnet/unet * Ignore down/up_block len check on ControlNet * add a copy from test_stable_diffusion.py * Accept controlnet_hint is None * merge pipeline_stable_diffusion.py diff * Update class name to SDControlNetPipeline * make style * Baseline fast test almost passed (w long desc) * still needs investigate. Following didn't passed descriped in TODO comment: - test_stable_diffusion_long_prompt - test_stable_diffusion_no_safety_checker Following didn't passed same as stable_diffusion_pipeline: - test_attention_slicing_forward_pass - test_inference_batch_single_identical - test_xformers_attention_forwardGenerator_pass these seems come from calc accuracy. * Add note comment related vae_scale_factor * add test_stable_diffusion_controlnet_ddim * add assertion for vae_scale_factor != 8 * slow test of pipeline almost passed Failed: test_stable_diffusion_pipeline_with_model_offloading - ImportError: `enable_model_offload` requires `accelerate v0.17.0` or higher but currently latest version == 0.16.0 * test_stable_diffusion_long_prompt passed * test_stable_diffusion_no_safety_checker passed - due to its model size, move to slow test * remove PoC test files * fix num_of_image, prompt length issue add add test * add support List[PIL.Image] for controlnet_hint * wip * all slow test passed * make style * update for slow test * RGB(PIL)->BGR(ctrlnet) conversion * fixes * remove manual num_images_per_prompt test * add document * add `image` argument docstring * make style * Add line to correct conversion * add controlnet_conditioning_scale (aka control_scales strength) * rgb channel ordering by default * image batching logic * Add control image descriptions for each checkpoint * Only save controlnet model in conversion script * Update src/diffusers/pipelines/stable_diffusion/pipeline_stable_diffusion_controlnet.py typo Co-authored-by:
dqueue <dbyqin@gmail.com> * remove controlnet constructor arguments re: @patrickvonplaten * [integration tests] test canny * test_canny fixes * [integration tests] test_depth * [integration tests] test_hed * [integration tests] test_mlsd * add channel order config to controlnet * [integration tests] test normal * [integration tests] test_openpose test_scribble * change height and width to default to conditioning image * [integration tests] test seg * style * test_depth fix * [integration tests] size fixes * [integration tests] cpu offloading * style * generalize controlnet embedding * fix conversion script * Update docs/source/en/api/pipelines/stable_diffusion/controlnet.mdx Co-authored-by:
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- 17 Feb, 2023 1 commit
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Omer Bar Tal authored
* add MultiDiffusionPanorama pipeline * fix docs naming * update pipeline name, remove redundant tests * apply styling. * debugging information. * fix: assertion values. * fix-copies. * update docs * update docs --------- Co-authored-by:
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