- 23 May, 2023 6 commits
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Patrick von Platen authored
Update README.md
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Patrick von Platen authored
* Make sure Diffusers works even if Hub is down * Make sure hub down is well tested
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Patrick von Platen authored
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takuoko authored
add controlnet reference and bugfix Co-authored-by:Patrick von Platen <patrick.v.platen@gmail.com>
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yingjieh authored
* add stable_diffusion_ipex community pipeline * Update readme.md * reformat * reformat * Update examples/community/README.md Co-authored-by:
Pedro Cuenca <pedro@huggingface.co> * Update examples/community/README.md Co-authored-by:
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Isotr0py authored
fix panorama pipeline with dpmsolver scheduler
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- 22 May, 2023 12 commits
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Will Berman authored
do not scale the initial global step by gradient accumulation steps when loading from checkpoint (#3506)
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Birch-san authored
* Cross-attention masks prefer qualified symbol, fix accidental Optional prefer qualified symbol in AttentionProcessor prefer qualified symbol in embeddings.py qualified symbol in transformed_2d qualify FloatTensor in unet_2d_blocks move new transformer_2d params attention_mask, encoder_attention_mask to the end of the section which is assumed (e.g. by functions such as checkpoint()) to have a stable positional param interface. regard return_dict as a special-case which is assumed to be injected separately from positional params (e.g. by create_custom_forward()). move new encoder_attention_mask param to end of CrossAttn block interfaces and Unet2DCondition interface, to maintain positional param interface. regenerate modeling_text_unet.py remove unused import unet_2d_condition encoder_attention_mask docs Co-authored-by:
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takuoko authored
* add reference only control * add reference only control * add reference only control * fix lint * fix lint * reference adain * bugfix EulerAncestralDiscreteScheduler * fix style fidelity rule * fix default output size * del unused line * fix deterministic
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Hari Krishna authored
* allow disk offload for diffuser models * sort import * add max_memory argument * Changed sample[0] to images[0] (#3304) A pipeline object stores the results in `images` not in `sample`. Current code blocks don't work. * Typo in tutorial (#3295) * Torch compile graph fix (#3286) * fix more * Fix more * fix more * Apply suggestions from code review * fix * make style * make fix-copies * fix * make sure torch compile * Clean * fix test * Postprocessing refactor img2img (#3268) * refactor img2img VaeImageProcessor.postprocess * remove copy from for init, run_safety_checker, decode_latents Co-authored-by:
Sayak Paul <spsayakpaul@gmail.com> --------- Co-authored-by:
yiyixuxu <yixu@yis-macbook-pro.lan> Co-authored-by:
Horace He <horacehe2007@yahoo.com> * Add Horace He as co-author. Co-authored-by:
yiyixuxu <yixu310@gmail,com> * [docs] Improve safetensors docstring (#3368) * clarify safetensor docstring * fix typo * apply feedback * add: a warning message when using xformers in a PT 2.0 env. (#3365) * add: a warning message when using xformers in a PT 2.0 env. * Apply suggestions from code review Co-authored-by:
🚲 * relax tol for sd 1.0 * relax tol for controlnet. * determinism to img var. * relax tol for img variation. * tolerance to i2i sd * make style * determinism to inpaint. * relax tolerance for inpaiting. * determinism for inpainting legacy * relax tolerance. * determinism to instruct pix2pix * determinism to model editing. * model editing tolerance. * panorama determinism * determinism to pix2pix zero. * determinism to sag. * sd 2. determinism * sd. tolerance * disallow tf32 matmul. * relax tolerance is all you need. * make style and determinism to sd 2 depth * relax tolerance for depth. * tolerance to diffedit. * tolerance to sd 2 inpaint. * up tolerance. * determinism in upscaling. * tolerance in upscaler. * more tolerance relaxation. * determinism to v pred. * up tol for v_pred * unclip determinism * determinism to unclip img2img * determinism to text to video. * determinism to last set of tests * up tol. * vq cumsum doesn't have a deterministic kernel * relax tol * relax tol * [docs] Add transformers to install (#3388) add transformers to install * [deepspeed] partial ZeRO-3 support (#3076) * [deepspeed] partial ZeRO-3 support * cleanup * improve deepspeed fixes * Improve * make style --------- Co-authored-by:⚔ benchmark reports done * Apply suggestions from code review Co-authored-by:Asfiya Baig <asfiyab@nvidia.com> * update docstrings Signed-off-by:
William Berman <WLBberman@gmail.com> * [WIP] Bugfix - Pipeline.from_pretrained is broken when the pipeline is partially downloaded (#3448) Added bugfix using f strings. * Fix gradient checkpointing bugs in freezing part of models (requires_grad=False) (#3404) * gradient checkpointing bug fix * bug fix; changes for reviews * reformat * reformat --------- Co-authored-by:
yueyang.hyy <yueyang.hyy@alibaba-inc.com> * [From ckpt] Fix from_ckpt (#3466) * Correct from_ckpt * make style * Update full dreambooth script to work with IF (#3425) * Add IF dreambooth docs (#3470) * parameterize pass single args through tuple (#3477) * attend and excite tests disable determinism on the class level (#3478) * dreambooth docs torch.compile note (#3471) * dreambooth docs torch.compile note * Update examples/dreambooth/README.md Co-authored-by:
Ilia Larchenko <41329713+IliaLarchenko@users.noreply.github.com> Co-authored-by:
YiYi Xu <yixu310@gmail.com> Co-authored-by:
Umar <55330742+mu94-csl@users.noreply.github.com> Co-authored-by:
Mylo <36931363+gitmylo@users.noreply.github.com> Co-authored-by:
Markus Pobitzer <markuspobitzer@gmail.com> Co-authored-by:
Cheng Lu <lucheng.lc15@gmail.com> Co-authored-by:
Steven Liu <59462357+stevhliu@users.noreply.github.com> Co-authored-by:
Isamu Isozaki <isamu.website@gmail.com> Co-authored-by:
Cesar Aybar <csaybar@gmail.com> Co-authored-by:
Will Rice <will@spokestack.io> Co-authored-by:
Adrià Arrufat <1671644+arrufat@users.noreply.github.com> Co-authored-by:
Sanchit Gandhi <93869735+sanchit-gandhi@users.noreply.github.com> Co-authored-by:
At-sushi <dkahw210@kyoto.zaq.ne.jp> Co-authored-by:
Lucca Zenóbio <luccazen@gmail.com> Co-authored-by:
Lysandre Debut <lysandre@huggingface.co> Co-authored-by:
Isotr0py <41363108+Isotr0py@users.noreply.github.com> Co-authored-by:
pdoane <pdoane2@gmail.com> Co-authored-by:
Rupert Menneer <71332436+rupertmenneer@users.noreply.github.com> Co-authored-by:
sudowind <wfpkueecs@163.com> Co-authored-by:
Takuma Mori <takuma104@gmail.com> Co-authored-by:
Stas Bekman <stas00@users.noreply.github.com> Co-authored-by:
Laureηt <laurentfainsin@protonmail.com> Co-authored-by:
Jongwoo Han <jongwooo.han@gmail.com> Co-authored-by:
asfiyab-nvidia <117682710+asfiyab-nvidia@users.noreply.github.com> Co-authored-by:
clarencechen <clarencechenct@gmail.com> Co-authored-by:
Laureηt <laurent@fainsin.bzh> Co-authored-by:
superlabs-dev <133080491+superlabs-dev@users.noreply.github.com> Co-authored-by:
Dev Aggarwal <devxpy@gmail.com> Co-authored-by:
Vimarsh Chaturvedi <vimarsh.c@gmail.com> Co-authored-by:
7eu7d7 <31194890+7eu7d7@users.noreply.github.com> Co-authored-by:
cmdr2 <shashank.shekhar.global@gmail.com> Co-authored-by:
wfng92 <43742196+wfng92@users.noreply.github.com> Co-authored-by:
Glaceon-Hyy <ffheyy0017@gmail.com> Co-authored-by:
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Patrick von Platen authored
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Ambrosiussen authored
* DataLoader will now bake in any transforms or image manipulations contained in the EXIF Images may have rotations stored in EXIF. Training using such images will cause those transforms to be ignored while training and thus produce unexpected results * Fixed the Dataloading EXIF issue in main DreamBooth training as well * Run make style (black & isort)
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Seongsu Park authored
* feat) optimization kr translation * fix) typo, italic setting * feat) dreambooth, text2image kr * feat) lora kr * fix) LoRA * fix) fp16 fix * fix) doc-builder style * fix) fp16 일부 단어 수정 * fix) fp16 style fix * fix) opt, training docs update * feat) toctree update * feat) toctree update --------- Co-authored-by:Chanran Kim <seriousran@gmail.com>
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Patrick von Platen authored
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w4ffl35 authored
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Isotr0py authored
* add use_karras_sigmas * add karras test * add doc
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Patrick von Platen authored
* Fix DPM single * add test * fix one more bug * Apply suggestions from code review Co-authored-by:
StAlKeR7779 <stalkek7779@yandex.ru> --------- Co-authored-by:
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Patrick von Platen authored
* up * fix more * Apply suggestions from code review * fix more * fix more * Check it * Remove 16:8 * fix more * fix more * fix more * up * up * Test only stable diffusion * Test only two files * up * Try out spinning up processes that can be killed * up * Apply suggestions from code review * up * up
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- 21 May, 2023 2 commits
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Sayak Paul authored
add note on local directory path. Co-authored-by: -
Sayak Paul authored
* add: debugging to enabling memory efficient processing * add: better warning message.
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- 20 May, 2023 1 commit
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Pedro Cuenca authored
* Remove ONNX tests from PR. They are already a part of push_tests.yml. * Remove mps tests from PRs. They are already performed on push. * Fix workflow name for fast push tests. * Extract mps tests to a workflow. For better control/filtering. * Remove --extra-index-url from mps tests * Increase tolerance of mps test This test passes in my Mac (Ventura 13.3) but fails in the CI hardware (Ventura 13.2). I ran the local tests following the same steps that exist in the CI workflow. * Temporarily run mps tests on pr So we can test. * Revert "Temporarily run mps tests on pr" Tests passed, go back to running on push.
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- 19 May, 2023 5 commits
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Will Berman authored
explicit view kernel size as number elements in flattened indices
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Steven Liu authored
* distributed inference * move to inference section * apply feedback * update with split_between_processes * apply feedback
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Steven Liu authored
* add textual inversion inference to docs * add to toctree --------- Co-authored-by: -
Sayak Paul authored
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Will Berman authored
* dreambooth docs torch.compile note * Update examples/dreambooth/README.md Co-authored-by:
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- 18 May, 2023 2 commits
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Will Berman authored
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Will Berman authored
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- 17 May, 2023 11 commits
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Will Berman authored
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Will Berman authored
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Patrick von Platen authored
* Correct from_ckpt * make style
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Glaceon-Hyy authored
* add inpaint lora scale support * add inpaint lora scale test --------- Co-authored-by: -
wfng92 authored
add min snr to text2img lora training script
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cmdr2 authored
Release large tensors in attention (as soon as they're no longer required). Reduces peak VRAM by nearly 2 GB for 1024x1024 (even after slicing), and the savings scale up with image size.
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Patrick von Platen authored
* Make dreambooth lora more robust to orig unet * up
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7eu7d7 authored
* gradient checkpointing bug fix * bug fix; changes for reviews * reformat * reformat --------- Co-authored-by: -
Vimarsh Chaturvedi authored
Added bugfix using f strings.
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Rupert Menneer authored
* Added explanation of 'strength' parameter * Added get_timesteps function which relies on new strength parameter * Added `strength` parameter which defaults to 1. * Swapped ordering so `noise_timestep` can be calculated before masking the image this is required when you aren't applying 100% noise to the masked region, e.g. strength < 1. * Added strength to check_inputs, throws error if out of range * Changed `prepare_latents` to initialise latents w.r.t strength inspired from the stable diffusion img2img pipeline, init latents are initialised by converting the init image into a VAE latent and adding noise (based upon the strength parameter passed in), e.g. random when strength = 1, or the init image at strength = 0. * WIP: Added a unit test for the new strength parameter in the StableDiffusionInpaintingPipeline still need to add correct regression values * Created a is_strength_max to initialise from pure random noise * Updated unit tests w.r.t new strength parameter + fixed new strength unit test * renamed parameter to avoid confusion with variable of same name * Updated regression values for new strength test - now passes * removed 'copied from' comment as this method is now different and divergent from the cpy * Update src/diffusers/pipelines/stable_diffusion/pipeline_stable_diffusion_inpaint.py Co-authored-by:
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Dev Aggarwal authored
* Update pipeline_if_superresolution.py Allow arbitrary aspect ratio in IFSuperResolutionPipeline by using the input image shape * IFSuperResolutionPipeline: allow the user to override the height and width through the arguments * update IFSuperResolutionPipeline width/height doc string to match StableDiffusionInpaintPipeline conventions --------- Co-authored-by:
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- 16 May, 2023 1 commit
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Pedro Cuenca authored
Small update to "Next steps" section: - PyTorch 2 is recommended. - Updated improvement figures.
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