- 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:
Patrick von Platen <patrick.v.platen@gmail.com> * Update src/diffusers/pipelines/shap_e/pipeline_shap_e.py Co-authored-by:
Sayak Paul <spsayakpaul@gmail.com> 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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- 10 Apr, 2023 1 commit
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William Berman authored
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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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Suraj Patil authored
reset cur_model_output
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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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- 12 Jan, 2023 2 commits
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Patrick von Platen authored
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Walter Hugo Lopez Pinaya authored
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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 1 commit
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Patrick von Platen authored
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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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- 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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- 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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- 20 Oct, 2022 2 commits
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Anton Lozhkov authored
* Bump the version to 0.7.0.dev0 * deprecate offsets * deprecate LMS timesteps * LMS 0.7.0->0.8.0
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Patrick von Platen authored
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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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- 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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- 29 Sep, 2022 1 commit
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V Vishnu Anirudh authored
* correcting the beta value assignment * updating DDIM and LMSDiscreteFlax schedulers * bringing back the changes that were lost as part of main branch merge
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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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- 17 Sep, 2022 1 commit
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Jonatan Kłosko authored
* Unify offset configuration in DDIM and PNDM schedulers * Format Add missing variables * Fix pipeline test * Update src/diffusers/schedulers/scheduling_ddim.py Co-authored-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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- 13 Sep, 2022 2 commits
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Nathan Lambert authored
* initial attempt at solving * fix pndm power of 3 inference_step * add power of 3 test * fix index in pndm test, remove ddim test * add comments, change to round()
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Nathan Lambert authored
* update scheduler docs TODOs, fix typos * fix another typo
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- 08 Sep, 2022 3 commits
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Patrick von Platen authored
* [Outputs] Improve syntax * improve more * fix docstring return * correct all * uP Co-authored-by:Mishig Davaadorj <dmishig@gmail.com>
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Pedro Cuenca authored
* Initial support for mps in Stable Diffusion pipeline. * Initial "warmup" implementation when using mps. * Make some deterministic tests pass with mps. * Disable training tests when using mps. * SD: generate latents in CPU then move to device. This is especially important when using the mps device, because generators are not supported there. See for example https://github.com/pytorch/pytorch/issues/84288. In addition, the other pipelines seem to use the same approach: generate the random samples then move to the appropriate device. After this change, generating an image in MPS produces the same result as when using the CPU, if the same seed is used. * Remove prints. * Pass AutoencoderKL test_output_pretrained with mps. Sampling from `posterior` must be done in CPU. * Style * Do not use torch.long for log op in mps device. * Perform incompatible padding ops in CPU. UNet tests now pass. See https://github.com/pytorch/pytorch/issues/84535 * Style: fix import order. * Remove unused symbols. * Remove MPSWarmupMixin, do not apply automatically. We do apply warmup in the tests, but not during normal use. This adopts some PR suggestions by @patrickvonplaten. * Add comment for mps fallback to CPU step. * Add README_mps.md for mps installation and use. * Apply `black` to modified files. * Restrict README_mps to SD, show measures in table. * Make PNDM indexing compatible with mps. Addresses #239. * Do not use float64 when using LDMScheduler. Fixes #358. * Fix typo identified by @patil-suraj Co-authored-by:
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Nathan Lambert authored
* init schedulers docs * add some docstrings, fix sidebar formatting * add docstrings * [Type hint] PNDM schedulers (#335) * [Type hint] PNDM Schedulers * ran make style * updated timesteps type hint * apply suggestions from code review * ran make style * removed unused import * [Type hint] scheduling ddim (#343) * [Type hint] scheduling ddim * apply suggestions from code review apply suggestions to also return the return type Co-authored-by:
Partho <parthodas6176@gmail.com> Co-authored-by:
Santiago Víquez <santi.viquez@gmail.com> Co-authored-by:
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- 05 Sep, 2022 1 commit
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Patrick von Platen authored
* add outputs for models * add for pipelines * finish schedulers * better naming * adapt tests as well * replace dict access with . access * make schedulers works * finish * correct readme * make bcp compatible * up * small fix * finish * more fixes * more fixes * Apply suggestions from code review Co-authored-by:
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- 04 Sep, 2022 1 commit
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Partho authored
* [Type hint] PNDM Schedulers * ran make style * updated timesteps type hint * apply suggestions from code review * ran make style * removed unused import
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- 31 Aug, 2022 2 commits
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Patrick von Platen authored
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Nouamane Tazi authored
* format timesteps attrs to np arrays in pndm scheduler because lists don't get formatted to tensors in `self.set_format` * convert to long type to use timesteps as indices for tensors * add scheduler set_format test * fix `_timesteps` type * make style with black 22.3.0 and isort 5.10.1 Co-authored-by:
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