- 30 Jan, 2024 1 commit
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Yunxuan Xiao authored
* load cumprod tensor to device Signed-off-by:
woshiyyya <xiaoyunxuan1998@gmail.com> * fixing ci Signed-off-by:
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- 26 Dec, 2023 1 commit
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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:Sayak Paul <spsayakpaul@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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- 03 Oct, 2023 1 commit
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Patrick von Platen authored
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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:Patrick von Platen <patrick.v.platen@gmail.com>
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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:
Pedro Cuenca <pedro@huggingface.co> Co-authored-by:
yiyixuxu <yixu310@gmail,com> 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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- 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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- 12 May, 2023 1 commit
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Laureηt authored
* Add `sigmoid` beta scheduler to `DDPMScheduler` docstring * Add `sigmoid` beta scheduler to `RePaintScheduler` docstring --------- 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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- 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 5 commits
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William Berman authored
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William Berman authored
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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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- 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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- 14 Feb, 2023 1 commit
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Will Berman authored
* pipeline_variant * Add docs for when clip_stats_path is specified * Update src/diffusers/pipelines/stable_diffusion/pipeline_stable_unclip.py Co-authored-by:
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- 03 Feb, 2023 1 commit
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Dudu Moshe authored
scheduling_ddpm: fix variance in the case of learned_range type. In the case of learned_range variance type, there are missing logs and exponent comparing to the theory (see "Improved Denoising Diffusion Probabilistic Models" section 3.1 equation 15: https://arxiv.org/pdf/2102.09672.pdf).
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- 31 Jan, 2023 1 commit
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Dudu Moshe authored
scheduling_ddpm: fix evaluate with lower timesteps count than train. Co-authored-by:
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- 25 Jan, 2023 1 commit
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Patrick von Platen authored
* [Bump version] 0.13 * Bump model up * up
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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 2 commits
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Patrick von Platen authored
* [Repro] Correct reproducability * up * up * uP * up * need better image * allow conversion from no state dict checkpoints * up * up * up * up * check tensors * check tensors * check tensors * check tensors * next try * up * up * better name * up * up * Apply suggestions from code review * correct more * up * replace all torch randn * fix * correct * correct * finish * fix more * up
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Joqsan authored
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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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- 01 Dec, 2022 1 commit
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Suraj Patil authored
* support v prediction in other schedulers * v heun * add tests for v pred * fix tests * fix test euler a * v ddpm
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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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- 28 Nov, 2022 2 commits
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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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Suraj Patil authored
* add get_velocity * add v prediction for training * fix saving * add revision arg * fix saving * save checkpoints dreambooth * fix saving embeds * add instruction in readme * quality * noise_pred -> model_pred
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- 25 Nov, 2022 2 commits
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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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- 14 Nov, 2022 1 commit
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Nathan Lambert authored
* re-add RL model code * match model forward api * add register_to_config, pass training tests * fix tests, update forward outputs * remove unused code, some comments * add to docs * remove extra embedding code * unify time embedding * remove conv1d output sequential * remove sequential from conv1dblock * style and deleting duplicated code * clean files * remove unused variables * clean variables * add 1d resnet block structure for downsample * rename as unet1d * fix renaming * rename files * add get_block(...) api * unify args for model1d like model2d * minor cleaning * fix docs * improve 1d resnet blocks * fix tests, remove permuts * fix style * add output activation * rename flax blocks file * Add Value Function and corresponding example script to Diffuser implementation (#884) * valuefunction code * start example scripts * missing imports * bug fixes and placeholder example script * add value function scheduler * load value function from hub and get best actions in example * very close to working example * larger batch size for planning * more tests * merge unet1d changes * wandb for debugging, use newer models * success! * turns out we just need more diffusion steps * run on modal * merge and code cleanup * use same api for rl model * fix variance type * wrong normalization function * add tests * style * style and quality * edits based on comments * style and quality * remove unused var * hack unet1d into a value function * add pipeline * fix arg order * add pipeline to core library * community pipeline * fix couple shape bugs * style * Apply suggestions from code review Co-authored-by:
Nathan Lambert <nathan@huggingface.co> * update post merge of scripts * add mdiblock / outblock architecture * Pipeline cleanup (#947) * valuefunction code * start example scripts * missing imports * bug fixes and placeholder example script * add value function scheduler * load value function from hub and get best actions in example * very close to working example * larger batch size for planning * more tests * merge unet1d changes * wandb for debugging, use newer models * success! * turns out we just need more diffusion steps * run on modal * merge and code cleanup * use same api for rl model * fix variance type * wrong normalization function * add tests * style * style and quality * edits based on comments * style and quality * remove unused var * hack unet1d into a value function * add pipeline * fix arg order * add pipeline to core library * community pipeline * fix couple shape bugs * style * Apply suggestions from code review * clean up comments * convert older script to using pipeline and add readme * rename scripts * style, update tests * delete unet rl model file * remove imports in src Co-authored-by:
Ben Glickenhaus <benglickenhaus@gmail.com>
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- 09 Nov, 2022 1 commit
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Anton Lozhkov authored
* Match the generator device to the pipeline for DDPM and DDIM * style * fix * update values * fix fast tests * trigger slow tests * deprecate * last value fixes * mps fixes
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