- 10 Apr, 2023 1 commit
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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:
Patrick von Platen <patrick.v.platen@gmail.com>
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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:
Pedro Cuenca <pedro@huggingface.co> 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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- 08 Nov, 2022 1 commit
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Patrick von Platen authored
* [Scheduler] Move predict epsilon to init * up * uP * uP * Apply suggestions from code review 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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- 31 Oct, 2022 1 commit
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Patrick von Platen authored
* [Better scheduler docs] Improve usage examples of schedulers * finish * fix warnings and add test * finish * more replacements * adapt fast tests hf token * correct more * Apply suggestions from code review Co-authored-by:
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- 14 Oct, 2022 1 commit
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Anton Lozhkov authored
* Bump to 0.6.0.dev0 * Deprecate tensor_format and .samples * style * upd * upd * style * sample -> images * Update src/diffusers/schedulers/scheduling_ddpm.py Co-authored-by:
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- 10 Oct, 2022 1 commit
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Nathan Lambert authored
* add sigmoid betas * convert to torch * add comment on source
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- 07 Oct, 2022 2 commits
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Suraj Patil authored
* handle dtype in vae and image2image pipeline * handle dtype in add noise * don't modify vae and pipeline * remove the if
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Patrick von Platen authored
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- 05 Oct, 2022 2 commits
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Anton Lozhkov authored
* init * improve add_noise * [debug start] run slow test * [debug end] * quick revert * Add docstrings and warnings + API tests * Make the warning less spammy
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Kashif Rasul authored
* pytorch timesteps * style * get rid of if-else * fix test Co-authored-by:
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- 03 Oct, 2022 1 commit
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Patrick von Platen authored
* [Utils] Add deprecate function * up * up * uP * up * up * up * up * uP * up * fix * up * move to deprecation utils file * fix * fix * fix more
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- 27 Sep, 2022 3 commits
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Kashif Rasul authored
* add dep. warning for schedulers * fix format
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Suraj Patil authored
fix add noise
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Kashif Rasul authored
* pytorch only schedulers * fix style * remove match_shape * pytorch only ddpm * remove SchedulerMixin * remove numpy from karras_ve * fix types * remove numpy from lms_discrete * remove numpy from pndm * fix typo * remove mixin and numpy from sde_vp and ve * remove remaining tensor_format * fix style * sigmas has to be torch tensor * removed set_format in readme * remove set format from docs * remove set_format from pipelines * update tests * fix typo * continue to use mixin * fix imports * removed unsed imports * match shape instead of assuming image shapes * remove import typo * update call to add_noise * use math instead of numpy * fix t_index * removed commented out numpy tests * timesteps needs to be discrete * cast timesteps to int in flax scheduler too * fix device mismatch issue * small fix * Update src/diffusers/schedulers/scheduling_pndm.py Co-authored-by:
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- 22 Sep, 2022 1 commit
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Jonathan Whitaker authored
* Adding pred_original_sample to SchedulerOutput of DDPMScheduler, DDIMScheduler, LMSDiscreteScheduler, KarrasVeScheduler step methods so we can access the predicted denoised outputs * Gave DDPMScheduler, DDIMScheduler and LMSDiscreteScheduler their own output dataclasses so the default SchedulerOutput in scheduling_utils does not need pred_original_sample as an optional extra * Reordered library imports to follow standard * didnt get import order quite right apparently * Forgot to change name of LMSDiscreteSchedulerOutput * Aha, needed some extra libs for make style to fully work
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- 21 Sep, 2022 1 commit
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Ryan Russell authored
Signed-off-by:
Ryan Russell <git@ryanrussell.org> Signed-off-by:
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- 15 Sep, 2022 1 commit
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Kashif Rasul authored
* beta never changes removed from state * fix typos in docs * removed unused var * initial ddim flax scheduler * import * added dummy objects * fix style * fix typo * docs * fix typo in comment * set return type * added flax ddom * fix style * remake * pass PRNG key as argument and split before use * fix doc string * use config * added flax Karras VE scheduler * make style * fix dummy * fix ndarray type annotation * replace returns a new state * added lms_discrete scheduler * use self.config * add_noise needs state * use config * use config * docstring * added flax score sde ve * fix imports * fix typos
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- 14 Sep, 2022 1 commit
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Pedro Cuenca authored
* Fix LMS scheduler indexing in `add_noise` #358. * Fix DDIM and DDPM indexing with mps device. * Verify format is PyTorch before using `.to()`
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