"vscode:/vscode.git/clone" did not exist on "e59ba12d4df2e61e85abbd2c82a6097ac3722d7a"
- 05 Mar, 2024 1 commit
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Michael authored
* add: support TCD scheduler --------- Co-authored-by:Sayak Paul <spsayakpaul@gmail.com>
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- 28 Feb, 2024 1 commit
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elucida authored
* move model helper function in pipeline to EfficiencyMixin --------- Co-authored-by:
YiYi Xu <yixu310@gmail.com> Co-authored-by:
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- 27 Feb, 2024 2 commits
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Suraj Patil authored
* add DPM scheduler with EDM formulation * set sigmas in init * add _compute_sigmas * Apply suggestions from code review Co-authored-by:
Pedro Cuenca <pedro@huggingface.co> * address some review comments * up, * add tests --------- Co-authored-by:
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Suraj Patil authored
* Add EDMEulerScheduler * address review comments * fix import * fix test * add tests * add co-author Co-authored-by: @dg845 dgu8957@gmail.com
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- 31 Jan, 2024 1 commit
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Sayak Paul authored
--------- Co-authored-by:
Dhruv Nair <dhruv.nair@gmail.com> Co-authored-by:
Patrick von Platen <patrick.v.platen@gmail.com> Co-authored-by:
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- 22 Jan, 2024 1 commit
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Junsong Chen authored
* add Sa-Solver --------- Co-authored-by:
scxue <xueshuchen17@mails.ucas.edu.cn> Co-authored-by:
jschen <chenjunsong4@h-partners.com> Co-authored-by:
yiyixuxu <yixu310@gmail,com>
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- 27 Dec, 2023 1 commit
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Dhruv Nair authored
* update * update * update * update * update * make style * remove docs * update * move to research folder. * fix-copies * remove _toctree entry. --------- Co-authored-by:
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- 21 Dec, 2023 1 commit
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Will Berman authored
amused rename Update docs/source/en/api/pipelines/amused.md Co-authored-by:
Suraj Patil <surajp815@gmail.com> Update examples/amused/README.md Co-authored-by:
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- 06 Dec, 2023 1 commit
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UmerHA authored
* Check in 23-10-05 * check-in 23-10-06 * check-in 23-10-07 2pm * check-in 23-10-08 * check-in 231009T1200 * check-in 230109 * checkin 231010 * init + forward run * checkin * checkin * ControlNetXSModel is now saveable+loadable * Forward works * checkin * Pipeline works with `no_control=True` * checkin * debug: save intermediate outputs of resnet * checkin * Understood time error + fixed connection error * checkin * checkin 231106T1600 * turned off detailled debug prints * time debug logs * small fix * Separated control_scale for connections/time * simplified debug logging * Full denoising works with control scale = 0 * aligned logs * Added control_attention_head_dim param * Passing n_heads instead of dim_head into ctrl unet * Fixed ctrl midblock bug * Cleanup * Fixed time dtype bug * checkin * 1. from_unet, 2. base passed, 3. all unet params * checkin * Finished docstrings * cleanup * make style * checkin * more tests pass * Fixed tests * removed debug logs * make style + quality * make fix-copies * fixed documentation * added cnxs to doc toc * added control start/end param * Update controlnetxs_sdxl.md * tried to fix copies.. * Fixed norm_num_groups in from_unet * added sdxl-depth test * created SD2.1 controlnet-xs pipeline * re-added debug logs * Adjusting group norm ; readded logs * Added debug log statements * removed debug logs ; started tests for sd2.1 * updated sd21 tests * fixed tests * fixed tests * slightly increased error tolerance for 1 test * make style & quality * Added docs for CNXS-SD * make fix-copies * Fixed sd compile test ; fixed gradient ckpointing * vae downs = cnxs conditioning downs; removed guess * make style & quality * Fixed tests * fixed test * Incorporated review feedback * simplified control model surgery * fixed tests & make style / quality * Updated docs; deleted pip & cursor files * Rolled back minimal change to resnet * Update resnet.py * Update resnet.py * Update src/diffusers/models/controlnetxs.py Co-authored-by:
Steven Liu <59462357+stevhliu@users.noreply.github.com> * Update docs/source/en/api/pipelines/controlnetxs.md Co-authored-by:
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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:
apolinário <joaopaulo.passos@gmail.com>
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- 24 Nov, 2023 1 commit
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Patrick von Platen authored
* finalize * finalize * finalize * add slow test * add slow test * add slow test * Fix more * add slow test * fix more * fix more * fix more * fix more * fix more * fix more * fix more * fix more * fix more * Better * Fix more * Fix more * add slow test * Add auto pipelines * add slow test * Add all * add slow test * add slow test * add slow test * add slow test * add slow test * Apply suggestions from code review * add slow test * add slow test
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- 09 Nov, 2023 1 commit
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Will Berman authored
* consistency decoder * rename * Apply suggestions from code review Co-authored-by:
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- 02 Nov, 2023 1 commit
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Dhruv Nair authored
* draft design * clean up * clean up * clean up * clean up * clean up * clean up * clean up * clean up * clean up * update pipeline * clean up * clean up * clean up * add tests * change motion block * clean up * clean up * clean up * update * update * update * update * update * update * update * update * clean up * update * update * update model test * update * update * update * update * make style * update * fix embeddings * update * merge upstream * max fix copies * fix bug * fix mistake * add docs * update * clean up * update * clean up * clean up * fix docstrings * fix docstrings * update * update * clean up * update
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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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- 21 Sep, 2023 1 commit
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Ayush Mangal authored
* Add BLIP Diffusion skeleton * Add other model components * Add BLIP2, need to change it for now * Fix pipeline imports * Load pretrained ViT * Make qformer fwd pass same * Replicate fwd passes * Fix device bug * Add accelerate functions * Remove extra functions from Blip2 * Minor bug * Integrate initial review changes * Refactoring * Refactoring * Refactor * Add controlnet * Refactor * Update conversion script * Add image processor * Shift postprocessing to ImageProcessor * Refactor * Fix device * Add fast tests * Update conversion script * Fix checkpoint conversion script * Integrate review changes * Integrate reivew changes * Remove unused functions from test * Reuse HF image processor in Cond image * Create new BlipImageProcessor based on transfomers * Fix image preprocessor * Minor * Minor * Add canny preprocessing * Fix controlnet preprocessing * Fix blip diffusion test * Add controlnet test * Add initial doc strings * Integrate review changes * Refactor * Update examples * Remove DDIM comments * Add copied from for prepare_latents * Add type anotations * Add docstrings * Do black formatting * Add batch support * Make tests pass * Make controlnet tests pass * Black formatting * Fix progress bar * Fix some licensing comments * Fix imports * Refactor controlnet * Make tests faster * Edit examples * Black formatting/Ruff * Add doc * Minor Co-authored-by:
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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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- 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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- 02 Aug, 2023 1 commit
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Sayak Paul authored
* add: model implementation of tiny autoencoder. * add: inits. * push the latest devs. * add: conversion script and finish. * add: scaling factor args. * debugging * fix denormalization. * fix: positional argument. * handle use_torch_2_0_or_xformers. * handle post_quant_conv * handle dtype * fix: sdxl image processor for tiny ae. * fix: sdxl image processor for tiny ae. * unify upcasting logic. * copied from madness. * remove trailing whitespace. * set is_tiny_vae = False * address PR comments. * change to AutoencoderTiny * make act_fn an str throughout * fix: apply_forward_hook decorator call * get rid of the special is_tiny_vae flag. * directly scale the output. * fix dummies? * fix: act_fn. * get rid of the Clamp() layer. * bring back copied from. * movement of the blocks to appropriate modules. * add: docstrings to AutoencoderTiny * add: documentation. * changes to the conversion script. * add doc entry. * settle tests. * style * add one slow test. * fix * fix 2 * fix 2 * fix: 4 * fix: 5 * finish integration tests * Apply suggestions from code review Co-authored-by:
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- 25 Jul, 2023 1 commit
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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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- 20 Jul, 2023 1 commit
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Ruslan Vorovchenko authored
* added AsymmetricAutoencoderKL * fixed copies+dummy * added script to convert original asymmetric vqgan * added docs * updated docs * fixed style * fixes, added tests * update doc * fixed doc * fixed tests * naming Co-authored-by:
Ruslan Vorovchenko <r.vorovchenko@prequelapp.com> 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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- 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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- 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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- 16 May, 2023 1 commit
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clarencechen authored
* Add DPM-Solver Multistep Inverse Scheduler * Add draft tests for DiffEdit * Add inverse sde-dpmsolver steps to tune image diversity from inverted latents * Fix tests --------- Co-authored-by:
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- 23 Mar, 2023 1 commit
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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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- 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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Patrick von Platen authored
* add * finish * add tests * add tests * up * up * pull from main * uP * Apply suggestions from code review * finish * Update docs/source/en/_toctree.yml Co-authored-by:
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- 16 Feb, 2023 1 commit
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Wenliang Zhao authored
* add UniPC scheduler * add the return type to the functions * code quality check * add tests * finish docs --------- Co-authored-by:
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- 07 Feb, 2023 1 commit
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Patrick von Platen authored
* before running make style * remove left overs from flake8 * finish * make fix-copies * final fix * more fixes
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- 17 Jan, 2023 1 commit
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Kashif Rasul authored
* added dit model * import * initial pipeline * initial convert script * initial pipeline * make style * raise valueerror * single function * rename classes * use DDIMScheduler * timesteps embedder * samples to cpu * fix var names * fix numpy type * use timesteps class for proj * fix typo * fix arg name * flip_sin_to_cos and better var names * fix C shape cal * make style * remove unused imports * cleanup * add back patch_size * initial dit doc * typo * Update docs/source/api/pipelines/dit.mdx Co-authored-by:
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- 04 Jan, 2023 1 commit
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qsh-zh authored
* feat : add log-rho deis multistep deis * docs :fix typo * docs : add docs for impl algo * docs : remove duplicate ref * finish deis * add docs * fix Co-authored-by:
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- 30 Dec, 2022 1 commit
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Patrick von Platen authored
* move files a bit * more refactors * fix more * more fixes * fix more onnx * make style * upload * fix * up * fix more * up again * up * small fix * Update src/diffusers/__init__.py Co-authored-by:
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- 18 Dec, 2022 1 commit
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Will Berman authored
* [wip] attention block updates * [wip] unCLIP unet decoder and super res * [wip] unCLIP prior transformer * [wip] scheduler changes * [wip] text proj utility class * [wip] UnCLIPPipeline * [wip] kakaobrain unCLIP convert script * [unCLIP pipeline] fixes re: @patrickvonplaten remove callbacks move denoising loops into call function * UNCLIPScheduler re: @patrickvonplaten Revert changes to DDPMScheduler. Make UNCLIPScheduler, a modified DDPM scheduler with changes to support karlo * mask -> attention_mask re: @patrickvonplaten * [DDPMScheduler] remove leftover change * [docs] PriorTransformer * [docs] UNet2DConditionModel and UNet2DModel * [nit] UNCLIPScheduler -> UnCLIPScheduler matches existing unclip naming better * [docs] SchedulingUnCLIP * [docs] UnCLIPTextProjModel * refactor * finish licenses * rename all to attention_mask and prep in models * more renaming * don't expose unused configs * final renaming fixes * remove x attn mask when not necessary * configure kakao script to use new class embedding config * fix copies * [tests] UnCLIPScheduler * finish x attn * finish * remove more * rename condition blocks * clean more * Apply suggestions from code review * up * fix * [tests] UnCLIPPipelineFastTests * remove unused imports * [tests] UnCLIPPipelineIntegrationTests * correct * make style Co-authored-by:
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- 08 Dec, 2022 1 commit
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Anton Lozhkov authored
* Fix PyCharm/VSCode static type checking for dummy objects * Re-add dummies * Fix AudioDiffusion imports * fix import * fix import * Update utils/check_dummies.py Co-authored-by:
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- 07 Dec, 2022 1 commit
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Cheng Lu authored
* add singlestep dpmsolver * fix a style typo * fix a style typo * add docs * finish Co-authored-by:
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- 05 Dec, 2022 1 commit
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Robert Dargavel Smith authored
* add AudioDiffusionPipeline and LatentAudioDiffusionPipeline * add docs to toc * fix tests * fix tests * fix tests * fix tests * fix tests * Update pr_tests.yml Fix tests * parent 499ff34b3edc3e0c506313ab48f21514d8f58b09 author teticio <teticio@gmail.com> 1668765652 +0000 committer teticio <teticio@gmail.com> 1669041721 +0000 parent 499ff34b3edc3e0c506313ab48f21514d8f58b09 author teticio <teticio@gmail.com> 1668765652 +0000 committer teticio <teticio@gmail.com> 1669041704 +0000 add colab notebook [Flax] Fix loading scheduler from subfolder (#1319) [FLAX] Fix loading scheduler from subfolder Fix/Enable all schedulers for in-painting (#1331) * inpaint fix k lms * onnox as well * up Correct path to schedlure (#1322) * [Examples] Correct path * uP Avoid nested fix-copies (#1332) * Avoid nested `# Copied from` statements during `make fix-copies` * style Fix img2img speed with LMS-Discrete Scheduler (#896) Casting `self.sigmas` into a different dtype (the one of original_samples) is not advisable. In my img2img pipeline this leads to a long running time in the `integrate.quad` call later on- by long I mean more than 10x slower. Co-authored-by:
Anton Lozhkov <aglozhkov@gmail.com> * updated styling from PR suggested feedback Co-authored-by:
Juan Acevedo <jfacevedo@google.com> Update README.md: Minor change to Imagic code snippet, missing dir error (#1347) Minor change to Imagic Readme Missing dir causes an error when running the example code. make style change the sample model (#1352) * Update alt_diffusion.mdx * Update alt_diffusion.mdx Add bit diffusion [WIP] (#971) * Create bit_diffusion.py Bit diffusion based on the paper, arXiv:2208.04202, Chen2022AnalogBG * adding bit diffusion to new branch ran tests * tests * tests * tests * tests * removed test folders + added to README * Update README.md Co-authored-by:
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- 02 Dec, 2022 1 commit
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Patrick von Platen authored
* up * up * finish * finish * up * up * finish
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- 28 Nov, 2022 1 commit
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Patrick von Platen authored
* Add heun * Finish first version of heun * remove bogus * finish * finish * improve * up * up * fix more * change progress bar * Update src/diffusers/pipelines/stable_diffusion/pipeline_stable_diffusion.py * finish * up * up * up
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- 09 Nov, 2022 1 commit
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Duong A. Nguyen authored
* Add ldm super resolution pipeline * style * fix copies * style * fix doc * Update src/diffusers/pipelines/latent_diffusion/pipeline_latent_diffusion_superresolution.py Co-authored-by:
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