- 22 Jan, 2024 1 commit
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Junsong Chen authored
* add Sa-Solver --------- Co-authored-by:
Sayak Paul <spsayakpaul@gmail.com> Co-authored-by:
scxue <xueshuchen17@mails.ucas.edu.cn> Co-authored-by:
jschen <chenjunsong4@h-partners.com> Co-authored-by:
Patrick von Platen <patrick.v.platen@gmail.com> Co-authored-by:
yiyixuxu <yixu310@gmail,com>
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- 19 Jan, 2024 1 commit
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YiYi Xu authored
* fix --------- Co-authored-by:
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- 26 Dec, 2023 2 commits
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Justin Ruan authored
* Remove unused parameters and fixed `FutureWarning` * Fixed wrong config instance * update unittest for `DDIMInverseScheduler`
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dg845 authored
* Add rescale_betas_zero_snr argument to DDPMScheduler. * Propagate rescale_betas_zero_snr changes to DDPMParallelScheduler. --------- Co-authored-by:
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- 20 Dec, 2023 1 commit
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Beinsezii authored
* EulerAncestral add `rescale_betas_zero_snr` Uses same infinite sigma fix from EulerDiscrete. Interestingly the ancestral version had the opposite problem: too much contrast instead of too little. * UT for EulerAncestral `rescale_betas_zero_snr` * EulerAncestral upcast samples during step() It helps this scheduler too, particularly when the model is using bf16. While the noise dtype is still the model's it's automatically upcasted for the add so all it affects is determinism. --------- Co-authored-by:
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- 07 Dec, 2023 1 commit
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Beinsezii authored
* EulerDiscreteScheduler add `rescale_betas_zero_snr`
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- 29 Nov, 2023 1 commit
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Suraj Patil authored
* begin model * finish blocks * add_embedding * addition_time_embed_dim * use TimestepEmbedding * fix temporal res block * fix time_pos_embed * fix add_embedding * add conversion script * fix model * up * add new resnet blocks * make forward work * return sample in original shape * fix temb shape in TemporalResnetBlock * add spatio temporal transformers * add vae blocks * fix blocks * update * update * fix shapes in Alphablender and add time activation in res blcok * use new blocks * style * fix temb shape * fix SpatioTemporalResBlock * reuse TemporalBasicTransformerBlock * fix TemporalBasicTransformerBlock * use TransformerSpatioTemporalModel * fix TransformerSpatioTemporalModel * fix time_context dim * clean up * make temb optional * add blocks * rename model * update conversion script * remove UNetMidBlockSpatioTemporal * add in init * remove unused arg * remove unused arg * remove more unsed args * up * up * check for None * update vae * update up/mid blocks for decoder * begin pipeline * adapt scheduler * add guidance scalings * fix norm eps in temporal transformers * add temporal autoencoder * make pipeline run * fix frame decodig * decode in float32 * decode n frames at a time * pass decoding_t to decode_latents * fix decode_latents * vae encode/decode in fp32 * fix dtype in TransformerSpatioTemporalModel * type image_latents same as image_embeddings * allow using differnt eps in temporal block for video decoder * fix default values in vae * pass num frames in decode * switch spatial to temporal for mixing in VAE * fix num frames during split decoding * cast alpha to sample dtype * fix attention in MidBlockTemporalDecoder * fix typo * fix guidance_scales dtype * fix missing activation in TemporalDecoder * skip_post_quant_conv * add vae conversion * style * take guidance scale as input * up * allow passing PIL to export_video * accept fps as arg * add pipeline and vae in init * remove hack * use AutoencoderKLTemporalDecoder * don't scale image latents * add unet tests * clean up unet * clean TransformerSpatioTemporalModel * add slow svd test * clean up * make temb optional in Decoder mid block * fix norm eps in TransformerSpatioTemporalModel * clean up temp decoder * clean up * clean up * use c_noise values for timesteps * use math for log * update * fix copies * doc * upcast vae * update forward pass for gradient checkpointing * make added_time_ids is tensor * up * fix upcasting * remove post quant conv * add _resize_with_antialiasing * fix _compute_padding * cleanup model * more cleanup * more cleanup * more cleanup * remove freeu * remove attn slice * small clean * up * up * remove extra step kwargs * remove eta * remove dropout * remove callback * remove merge factor args * clean * clean up * move to dedicated folder * remove attention_head_dim * docstr and small fix * update unet doc strings * rename decoding_t * correct linting * store c_skip and c_out * cleanup * clean TemporalResnetBlock * more cleanup * clean up vae * clean up * begin doc * more cleanup * up * up * doc * Improve * better naming * better naming * better naming * better naming * better naming * better naming * better naming * better naming * Apply suggestions from code review * Default chunk size to None * add example * Better * Apply suggestions from code review * update doc * Update src/diffusers/pipelines/stable_diffusion_video/pipeline_stable_diffusion_video.py Co-authored-by:
Dhruv Nair <dhruv.nair@gmail.com> Co-authored-by:
apolinário <joaopaulo.passos@gmail.com>
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- 27 Nov, 2023 1 commit
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dg845 authored
* Add custom timesteps support to LCMScheduler. * Add custom timesteps support to StableDiffusionPipeline. * Add custom timesteps support to StableDiffusionXLPipeline. * Add custom timesteps support to remaining Stable Diffusion pipelines which support LCMScheduler (img2img, inpaint). * Add custom timesteps support to remaining Stable Diffusion XL pipelines which support LCMScheduler (img2img, inpaint). * Add custom timesteps support to StableDiffusionControlNetPipeline. * Add custom timesteps support to T21 Stable Diffusion (XL) Adapters. * Clean up Stable Diffusion inpaint tests. * Manually add support for custom timesteps to AltDiffusion pipelines since make fix-copies doesn't appear to work correctly (it deletes the whole pipeline). * make style * Refactor pipeline timestep handling into the retrieve_timesteps function.
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- 20 Nov, 2023 1 commit
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dg845 authored
* Change LCMScheduler.set_timesteps to pick more evenly spaced inference timesteps. * Change inference_indices implementation to better match previous behavior. * Add num_inference_steps=26 test case to test_inference_steps. * run CI --------- Co-authored-by:patil-suraj <surajp815@gmail.com>
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- 07 Nov, 2023 1 commit
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dg845 authored
* 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:
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- 30 Oct, 2023 1 commit
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Cheng Lu authored
* stabilize dpmpp for sdxl by using euler at the final step * add lu's uniform logsnr time steps * add test * fix check_copies * fix tests --------- Co-authored-by:
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- 24 Oct, 2023 1 commit
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dg845 authored
* initial commit for LatentConsistencyModelPipeline and LCMScheduler based on the community pipeline * Add callback and freeu support. * apply suggestions from review * Clean up LCMScheduler * Remove timeindex argument to LCMScheduler.step. * Add support for clipping or thresholding the predicted original sample. * Remove unused methods and arguments in LCMScheduler. * Improve comment about (lack of) negative prompt support. * Change input guidance_scale to match the StableDiffusionPipeline (Imagen) CFG formulation. * Move lcm_origin_steps from pipeline __call__ to LCMScheduler.__init__/config (as origin_steps). * Fix typo when clipping/thresholding in LCMScheduler. * Add some initial LCMScheduler tests. * add type annotations from review * Fix type annotation bug. * Override test_add_noise_device in LCMSchedulerTest since hardcoded timesteps doesn't work under default settings. * Add generator argument pipeline prepare_latents call. * Cast LCMScheduler.timesteps to long in set_timesteps. * Add onestep and multistep full loop scheduler tests. * Set default height/width to None and don't hardcode guidance scale embedding dim. * Add initial LatentConsistencyPipeline fast and slow tests. * Add initial documentation for LatentConsistencyModelPipeline and LCMScheduler. * Make remaining failing fast tests pass. * make style * Make original_inference_steps configurable from pipeline __call__ again. * make style * Remove guidance_rescale arg from pipeline __call__ since LCM currently doesn't support CFG. * Make LCMScheduler defaults match config of LCM_Dreamshaper_v7 checkpoint. * Fix LatentConsistencyPipeline slow tests and add dummy expected slices. * Add checks for original_steps in LCMScheduler.set_timesteps. * make fix-copies * Improve LatentConsistencyModelPipeline docs. * Apply suggestions from code review Co-authored-by:
Aryan V S <avs050602@gmail.com> * Apply suggestions from code review Co-authored-by:
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- 02 Oct, 2023 1 commit
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Leng Yue authored
* Update Unipc einsum to support 1D and 3D diffusion. * Add unittest * Update unittest & edge case * Fix unittest * Fix testing_utils.py * Fix unittest file --------- Co-authored-by:
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- 29 Sep, 2023 2 commits
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Patrick von Platen authored
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Seunghyeon Kim authored
* fix ddim inverse scheduler * update test of ddim inverse scheduler * update test of pix2pix_zero * update test of diffedit * fix typo --------- Co-authored-by:
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- 27 Sep, 2023 1 commit
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YiYi Xu authored
* add fast tests for dpm-multi * add more tests * style --------- Co-authored-by:
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- 19 Sep, 2023 1 commit
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YiYi Xu authored
--------- Co-authored-by:
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- 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:
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- 23 Aug, 2023 1 commit
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YiYi Xu authored
add self.step_index --------- Co-authored-by:
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- 16 Aug, 2023 1 commit
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Dirk Morris authored
* Fix unipc karras sigmas exception - fixes huggingface/diffusers#4580 * Add unipc scheduler tests for karras sigmas
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- 15 Aug, 2023 1 commit
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Sayak Paul authored
[Pipeline utils] feat: implement push_to_hub for standalone models, schedulers as well as pipelines (#4128) * feat: implement push_to_hub for standalone models. * address PR feedback. * Apply suggestions from code review Co-authored-by:
Lucain <lucainp@gmail.com> * reflect pr feedback. * address another round of deedback. * better handling of kwargs. * add: tests * Apply suggestions from code review Co-authored-by:
ydshieh <2521628+ydshieh@users.noreply.github.com> * fix: tokenizer loading. * fix: json dumping. * move is_staging_test to a better location. * better treatment to tokens. * define repo_id to better handle concurrency * style * explicitly set token * Empty-Commit * move SUER, TOKEN to test * collate org_repo_id * delete repo --------- Co-authored-by:
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- 18 Jul, 2023 1 commit
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clarencechen authored
* Add Recent Timestep Scheduling Improvements to DDIM Inverse Scheduler Roll timesteps by one to reflect origin-destination semantic discrepancy Restore `set_alpha_to_one` option to handle negative initial timesteps Remove `set_alpha_to_zero` option not used due to previous truncation * Bugfix * Remove unnecessary calls to `detach()` Use `self.image_processor.preprocess` in DiffEdit pipeline functions * Preprocess list input for inverted image latents in diffedit pipeline * Add `timestep_spacing` and `steps_offset` to `DPMSolverMultistepInverseScheduler` * Update expected test results to account for inverting last forward diffusion step * Fix inversion progress bar bug * Add first draft for proper fast tests for DDIMInverseScheduler * Add deprecated DDIMInverseScheduler kwarg to ConfigMixer registry * Fix test failure in DPMMultistepInverseScheduler Invert step specification leads to negative noise variance in SDE-based algs Add first draft for proper fast tests for DPMMultistepInverseScheduler * Update expected test results to account for inverting last forward diffusion step Clean up diffedit fast test
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- 06 Jul, 2023 1 commit
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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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- 05 Jul, 2023 2 commits
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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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Pedro Cuenca authored
* Add timestep_spacing to DDPM, LMSDiscrete, PNDM. * Remove spurious line. * More easy schedulers. * Add `linspace` to DDIM * Noise sigma for `trailing`. * Add timestep_spacing to DEISMultistepScheduler. Not sure the range is the way it was intended. * Fix: remove line used to debug. * Support timestep_spacing in DPMSolverMultistep, DPMSolverSDE, UniPC * Fix: convert to numpy. * Use sched. defaults when instantiating from_config For params not present in the original configuration. This makes it possible to switch pipeline schedulers even if they use different timestep_spacing (or any other param). * Apply suggestions from code review Co-authored-by:
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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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- 07 Jun, 2023 1 commit
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Max-We authored
* Implement option for rescaling betas to zero terminal SNR * Implement rescale classifier free guidance in pipeline_stable_diffusion.py * focus on DDIM * make style * make style * make style * make style * Apply suggestions from Peter Lin * Apply suggestions from Peter Lin * make style * Apply suggestions from code review * Apply suggestions from code review * make style * make style --------- Co-authored-by:
MaxWe00 <gitlab.9v1lq@slmail.me> Co-authored-by:
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- 22 May, 2023 2 commits
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Isotr0py authored
* add use_karras_sigmas * add karras test * add doc
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Patrick von Platen authored
* Fix DPM single * add test * fix one more bug * Apply suggestions from code review Co-authored-by:
StAlKeR7779 <stalkek7779@yandex.ru> --------- Co-authored-by:
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- 20 May, 2023 1 commit
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Pedro Cuenca authored
* Remove ONNX tests from PR. They are already a part of push_tests.yml. * Remove mps tests from PRs. They are already performed on push. * Fix workflow name for fast push tests. * Extract mps tests to a workflow. For better control/filtering. * Remove --extra-index-url from mps tests * Increase tolerance of mps test This test passes in my Mac (Ventura 13.3) but fails in the CI hardware (Ventura 13.2). I ran the local tests following the same steps that exist in the CI workflow. * Temporarily run mps tests on pr So we can test. * Revert "Temporarily run mps tests on pr" Tests passed, go back to running on push.
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- 06 May, 2023 1 commit
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Isotr0py authored
* add karras sigma to lms discrete scheduler * add test for lms_scheduler karras * reformat test lms
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- 05 May, 2023 1 commit
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Cheng Lu authored
* add SDE variant of DPM-Solver and DPM-Solver++ * add test * fix typo * fix typo
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- 03 May, 2023 1 commit
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Cheng Lu authored
* fix multistep dpmsolver for cosine schedule (deepfloy-if) * fix a typo * Update src/diffusers/schedulers/scheduling_dpmsolver_multistep.py Co-authored-by:
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- 27 Apr, 2023 2 commits
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Nipun Jindal authored
[Slow Test]: Cuda test fixes Co-authored-by:njindal <njindal@adobe.com>
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Nipun Jindal authored
* [2064]: Add stochastic sampler * [2064]: Add stochastic sampler * [2064]: Add stochastic sampler * [2064]: Add stochastic sampler * [2064]: Add stochastic sampler * [2064]: Add stochastic sampler * [2064]: Add stochastic sampler * Review comments * [Review comment]: Add is_torchsde_available() * [Review comment]: Test and docs * [Review comment] * [Review comment] * [Review comment] * [Review comment] * [Review comment] --------- Co-authored-by:
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- 21 Apr, 2023 1 commit
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Youssef Adarrab authored
* Add karras pattern to discrete heun scheduler * Add integration test * Fix failing CI on pytorch test on M1 (mps) --------- Co-authored-by:
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- 17 Apr, 2023 1 commit
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Patrick von Platen authored
* Better deprecation message * Better deprecation message * Better doc string * Fixes * fix more * fix more * Improve __getattr__ * correct more * fix more * fix * Improve more * more improvements * fix more * Apply suggestions from code review Co-authored-by:
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- 14 Apr, 2023 1 commit
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Will Berman authored
add custom timesteps test add custom timesteps descending order check docs timesteps -> custom_timesteps can only pass one of num_inference_steps and timesteps
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- 12 Apr, 2023 1 commit
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Nipun Jindal authored
* [2737]: Add Karras DPMSolverMultistepScheduler * [2737]: Add Karras DPMSolverMultistepScheduler * Add test * Apply suggestions from code review Co-authored-by:
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- 10 Apr, 2023 1 commit
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William Berman authored
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