- 15 Dec, 2023 1 commit
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Patrick von Platen authored
* correct * Apply suggestions from code review * make style
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- 07 Dec, 2023 1 commit
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YiYi Xu authored
* fix * copies --------- Co-authored-by:yiyixuxu <yixu310@gmail,com>
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- 01 Dec, 2023 1 commit
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YiYi Xu authored
* fix dpm * all scheulers
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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:
Patrick von Platen <patrick.v.platen@gmail.com> * style * Get torch compile working * up * rename * fix doc * add chunking * torch compile * torch compile * add modelling outputs * torch compile * Improve chunking * Apply suggestions from code review * Update docs/source/en/using-diffusers/svd.md * Close diff tag * remove slicing * resnet docstr * add docstr in resnet * rename * Apply suggestions from code review * update tests * Fix output type latents * fix more * fix more * Update docs/source/en/using-diffusers/svd.md * fix more * add pipeline tests * remove unused arg * clean up * make sure get_scaling receives tensors * fix euler scheduler * fix get_scalings * simply euler for now * remove old test file * use randn_tensor to create noise * fix device for rand tensor * increase expected_max_difference * fix test_inference_batch_single_identical * actually fix test_inference_batch_single_identical * disable test_save_load_float16 * skip test_float16_inference * skip test_inference_batch_single_identical * fix test_xformers_attention_forwardGenerator_pass * Apply suggestions from code review * update StableVideoDiffusionPipelineSlowTests * update image * add diffusers example * fix more --------- Co-authored-by:
Dhruv Nair <dhruv.nair@gmail.com> Co-authored-by:
apolinário <joaopaulo.passos@gmail.com>
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- 20 Nov, 2023 1 commit
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Kashif Rasul authored
* ruff format * not need to use doc-builder's black styling as the doc is styled in ruff * make fix-copies * comment * use run_ruff
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- 31 Oct, 2023 1 commit
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TimothyAlexisVass authored
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- 03 Oct, 2023 1 commit
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Patrick von Platen authored
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- 23 Sep, 2023 1 commit
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YiYi Xu authored
* remove to _device() for sigmas * update add_noise to use simgas --------- 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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- 09 Aug, 2023 1 commit
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Steven Liu authored
* clean scheduler mixin * up to dpmsolvermultistep * finish cleaning * first draft * fix overview table * apply feedback * update reference code
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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:
Sayak Paul <spsayakpaul@gmail.com> Co-authored-by:
Pedro Cuenca <pedro@huggingface.co> Co-authored-by:
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- 05 Jul, 2023 1 commit
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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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- 03 Jul, 2023 1 commit
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Patrick von Platen authored
* Correct controlnet out of list error * Apply suggestions from code review * correct tests * correct tests * fix * test all * Apply suggestions from code review * test all * test all * Apply suggestions from code review * Apply suggestions from code review * fix more tests * Fix more * Apply suggestions from code review * finish * Apply suggestions from code review * Update src/diffusers/schedulers/scheduling_k_dpm_2_ancestral_discrete.py * finish
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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:
njindal <njindal@adobe.com> --------- Co-authored-by:
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- 11 Apr, 2023 1 commit
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Patrick von Platen authored
* [Config] Fix config prints and save, load * Only use potential nn.Modules for dtype and device * Correct vae image processor * make sure in_channels is not accessed directly * make sure in channels is only accessed via config * Make sure schedulers only access config attributes * Make sure to access config in SAG * Fix vae processor and make style * add tests * uP * make style * Fix more naming issues * Final fix with vae config * change more
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- 10 Apr, 2023 3 commits
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William Berman authored
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William Berman authored
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Will Berman authored
dynamic threshold sampling bug fix and docs
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- 09 Mar, 2023 1 commit
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Patrick von Platen authored
* [Schedulers] Correct config changing * uP * add tests
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- 07 Mar, 2023 1 commit
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clarencechen authored
* Improve dynamic threshold * Update code * Add dynamic threshold to ddim and ddpm * Encapsulate and leverage code copy mechanism Update style * Clean up DDPM/DDIM constructor arguments * add test * also add to unipc --------- Co-authored-by:
Peter Lin <peterlin9863@gmail.com> Co-authored-by:
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- 01 Mar, 2023 1 commit
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Patrick von Platen authored
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- 16 Feb, 2023 2 commits
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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: -
Will Berman authored
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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:
Suraj Patil <surajp815@gmail.com> * added copyright license headers * added example usage and toc * fix variable names asserts * remove comment * added docs * fix typo * upstream changes * set proper device for drop_ids * added initial dit pipeline test * update docs * fix imports * make fix-copies * isort * fix imports * get rid of more magic numbers * fix code when guidance is off * remove block_kwargs * cleanup script * removed to_2tuple * use FeedForward class instead of another MLP * style * work on mergint DiTBlock with BasicTransformerBlock * added missing final_dropout and args to BasicTransformerBlock * use norm from block * fix arg * remove unused arg * fix call to class_embedder * use timesteps * make style * attn_output gets multiplied * removed commented code * use Transformer2D * use self.is_input_patches * fix flags * fixed conversion to use Transformer2DModel * fixes for pipeline * remove dit.py * fix timesteps device * use randn_tensor and fix fp16 inf. * timesteps_emb already the right dtype * fix dit test class * fix test and style * fix norm2 usage in vq-diffusion * added author names to pipeline and lmagenet labels link * fix tests * use norm_type as string * rename dit to transformer * fix name * fix test * set norm_type = "layer" by default * fix tests * do not skip common tests * Update src/diffusers/models/attention.py Co-authored-by:
William Berman <WLBberman@gmail.com> 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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- 19 Dec, 2022 1 commit
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Anton Lozhkov authored
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- 13 Dec, 2022 1 commit
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Patrick von Platen authored
upgrade version
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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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- 30 Nov, 2022 2 commits
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Anton Lozhkov authored
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Patrick von Platen authored
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- 29 Nov, 2022 1 commit
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Rohan Taori authored
* cast to float for quantile method * add fp16 test for DPMSolverMultistepScheduler fix * formatting update
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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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- 25 Nov, 2022 3 commits
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Kashif Rasul authored
* added initial v-pred support to DPM-solver * fix sign * added v_prediction to flax * fixed typo
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Patrick von Platen authored
* fix * fix deprecated kwargs logic * add tests * finish
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Pedro Cuenca authored
* Adapt ddpm, ddpmsolver to prediction_type. * Deprecate predict_epsilon in __init__. * Bring FlaxDDIMScheduler up to date with DDIMScheduler. * Set prediction_type as an ivar for consistency. * Convert pipeline_ddpm * Adapt tests. * Adapt unconditional training script. * Adapt BitDiffusion example. * Add missing kwargs in dpmsolver_multistep * Ugly workaround to accept deprecated predict_epsilon when loading schedulers using from_pretrained. * make style * Remove import no longer in use. * Apply suggestions from code review Co-authored-by:
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- 15 Nov, 2022 1 commit
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Patrick von Platen authored
* add conversion script for vae * uP * uP * more changes * push * up * finish again * up * up * up * up * finish * up * uP * up * Apply suggestions from code review Co-authored-by:
Anton Lozhkov <anton@huggingface.co> Co-authored-by:
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- 06 Nov, 2022 1 commit
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Cheng Lu authored
* add dpmsolver discrete pytorch scheduler * fix some typos in dpm-solver pytorch * add dpm-solver pytorch in stable-diffusion pipeline * add jax/flax version dpm-solver * change code style * change code style * add docs * add `add_noise` method for dpmsolver * add pytorch unit test for dpmsolver * add dummy object for pytorch dpmsolver * Update src/diffusers/schedulers/scheduling_dpmsolver_discrete.py Co-authored-by:
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