- 17 Jan, 2023 1 commit
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Jerry Jiarui XU authored
* [Flax] Add Flax inpainting impl * fixed copies, add README.md * fixed README.md * add test * format * update README.md
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- 30 Dec, 2022 1 commit
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Patrick von Platen authored
* move files a bit * more refactors * fix more * more fixes * fix more onnx * make style * upload * fix * up * fix more * up again * up * small fix * Update src/diffusers/__init__.py Co-authored-by:
Pedro Cuenca <pedro@huggingface.co> * correct Co-authored-by:
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- 28 Dec, 2022 1 commit
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Will Berman authored
* unCLIP image variation * remove prior comment re: @pcuenca * stable diffusion -> unCLIP re: @pcuenca * add copy froms re: @patil-suraj
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- 20 Dec, 2022 1 commit
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Dhruv Naik authored
* add flax img2img pipeline * update pipeline * black format file * remove argg from get_timesteps * update get_timesteps * fix bug: make use of timesteps for for_loop * black file * black, isort, flake8 * update docstring * update readme * update flax img2img readme * update sd pipeline init * Update src/diffusers/pipelines/stable_diffusion/pipeline_flax_stable_diffusion_img2img.py Co-authored-by:
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- 18 Dec, 2022 1 commit
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Will Berman authored
* [wip] attention block updates * [wip] unCLIP unet decoder and super res * [wip] unCLIP prior transformer * [wip] scheduler changes * [wip] text proj utility class * [wip] UnCLIPPipeline * [wip] kakaobrain unCLIP convert script * [unCLIP pipeline] fixes re: @patrickvonplaten remove callbacks move denoising loops into call function * UNCLIPScheduler re: @patrickvonplaten Revert changes to DDPMScheduler. Make UNCLIPScheduler, a modified DDPM scheduler with changes to support karlo * mask -> attention_mask re: @patrickvonplaten * [DDPMScheduler] remove leftover change * [docs] PriorTransformer * [docs] UNet2DConditionModel and UNet2DModel * [nit] UNCLIPScheduler -> UnCLIPScheduler matches existing unclip naming better * [docs] SchedulingUnCLIP * [docs] UnCLIPTextProjModel * refactor * finish licenses * rename all to attention_mask and prep in models * more renaming * don't expose unused configs * final renaming fixes * remove x attn mask when not necessary * configure kakao script to use new class embedding config * fix copies * [tests] UnCLIPScheduler * finish x attn * finish * remove more * rename condition blocks * clean more * Apply suggestions from code review * up * fix * [tests] UnCLIPPipelineFastTests * remove unused imports * [tests] UnCLIPPipelineIntegrationTests * correct * make style Co-authored-by:Patrick von Platen <patrick.v.platen@gmail.com>
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- 08 Dec, 2022 3 commits
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Suraj Patil authored
* begin depth pipeline * add depth estimation model * fix prepare_depth_mask * add a comment about autocast * copied from, quality, cleanup * begin tests * handle tensors * norm image tensor * fix batch size * fix tests * fix enable_sequential_cpu_offload * fix save load * fix test_save_load_float16 * fix test_save_load_optional_components * fix test_float16_inference * fix test_cpu_offload_forward_pass * fix test_dict_tuple_outputs_equivalent * up * fix fast tests * fix test_stable_diffusion_img2img_multiple_init_images * fix few more fast tests * don't use device map for DPT * fix test_stable_diffusion_pipeline_with_sequential_cpu_offloading * accept external depth maps * prepare_depth_mask -> prepare_depth_map * fix file name * fix file name * quality * check transformers version * fix test names * use skipif * fix import * add docs * skip tests on mps * correct version * uP * Update docs/source/api/pipelines/stable_diffusion_2.mdx * fix fix-copies * fix fix-copies Co-authored-by:
anton- <anton@huggingface.co>
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Anton Lozhkov authored
* Fix PyCharm/VSCode static type checking for dummy objects * Re-add dummies * Fix AudioDiffusion imports * fix import * fix import * Update utils/check_dummies.py Co-authored-by:
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Patrick von Platen authored
* uP * uP
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- 07 Dec, 2022 1 commit
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Patrick von Platen authored
* add paint by example * mkae loading possibel * up * Update src/diffusers/models/attention.py * up * finalize weight structure * make example work * make it work * up * up * fix * del * add * update * Apply suggestions from code review * correct transformer 2d * finish * up * up * up * up * fix * Apply suggestions from code review Co-authored-by:
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- 05 Dec, 2022 1 commit
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Robert Dargavel Smith authored
* add AudioDiffusionPipeline and LatentAudioDiffusionPipeline * add docs to toc * fix tests * fix tests * fix tests * fix tests * fix tests * Update pr_tests.yml Fix tests * parent 499ff34b3edc3e0c506313ab48f21514d8f58b09 author teticio <teticio@gmail.com> 1668765652 +0000 committer teticio <teticio@gmail.com> 1669041721 +0000 parent 499ff34b3edc3e0c506313ab48f21514d8f58b09 author teticio <teticio@gmail.com> 1668765652 +0000 committer teticio <teticio@gmail.com> 1669041704 +0000 add colab notebook [Flax] Fix loading scheduler from subfolder (#1319) [FLAX] Fix loading scheduler from subfolder Fix/Enable all schedulers for in-painting (#1331) * inpaint fix k lms * onnox as well * up Correct path to schedlure (#1322) * [Examples] Correct path * uP Avoid nested fix-copies (#1332) * Avoid nested `# Copied from` statements during `make fix-copies` * style Fix img2img speed with LMS-Discrete Scheduler (#896) Casting `self.sigmas` into a different dtype (the one of original_samples) is not advisable. In my img2img pipeline this leads to a long running time in the `integrate.quad` call later on- by long I mean more than 10x slower. Co-authored-by:
Anton Lozhkov <aglozhkov@gmail.com> * updated styling from PR suggested feedback Co-authored-by:
Juan Acevedo <jfacevedo@google.com> Update README.md: Minor change to Imagic code snippet, missing dir error (#1347) Minor change to Imagic Readme Missing dir causes an error when running the example code. make style change the sample model (#1352) * Update alt_diffusion.mdx * Update alt_diffusion.mdx Add bit diffusion [WIP] (#971) * Create bit_diffusion.py Bit diffusion based on the paper, arXiv:2208.04202, Chen2022AnalogBG * adding bit diffusion to new branch ran tests * tests * tests * tests * tests * removed test folders + added to README * Update README.md Co-authored-by:
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- 25 Nov, 2022 1 commit
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Suraj Patil authored
* StableDiffusionUpscalePipeline * fix a few things * make it better * fix image batching * run vae in fp32 * fix docstr * resize to mul of 64 * doc * remove safety_checker * add max_noise_level * fix Copied * begin tests * slow tests * default max_noise_level * remove kwargs * doc * fix * fix fast tests * fix fast tests * no sf * don't offload vae Co-authored-by:
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- 23 Nov, 2022 2 commits
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Patrick von Platen authored
* up * convert dual unet * revert dual attn * adapt for vd-official * test the full pipeline * mixed inference * mixed inference for text2img * add image prompting * fix clip norm * split text2img and img2img * fix format * refactor text2img * mega pipeline * add optimus * refactor image var * wip text_unet * text unet end to end * update tests * reshape * fix image to text * add some first docs * dual guided pipeline * fix token ratio * propose change * dual transformer as a native module * DualTransformer(nn.Module) * DualTransformer(nn.Module) * correct unconditional image * save-load with mega pipeline * remove image to text * up * uP * fix * up * final fix * remove_unused_weights * test updates * save progress * uP * fix dual prompts * some fixes * finish * style * finish renaming * up * fix * fix * fix * finish Co-authored-by: -
Suraj Patil authored
* add StableDiffusionImageVariationPipeline * add ini init * use CLIPVisionModelWithProjection * fix _encode_image * add copied from * fix copies * add doc * handle tensor in _encode_image * add tests * correct model_id * remove copied from in enable_sequential_cpu_offload * fix tests * make slow tests pass * update slow tests * use temp model for now * fix test_stable_diffusion_img_variation_intermediate_state * fix test_stable_diffusion_img_variation_intermediate_state * check for torch.Tensor * quality * fix name * fix slow tests * install transformers from source * fix install * fix install * Apply suggestions from code review Co-authored-by:
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- 22 Nov, 2022 1 commit
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Manuel Brack authored
* Add pipeline_stable_diffusion_safe.py to pipelines * Fix repository consistency Ran make fix-copies after adding new pipline * Add Paper/Equation reference for parameters to doc string * Ensure code style and quality * Perform code refactoring * Fix copies inherited from merge with huggingface/main * Add docs * Fix code style * Fix errors in documentation * Fix refactoring error * remove debugging print statement * added Safe Latent Diffusion tests * Fix style * Fix style * Add pre-defined safety configurations * Fix line-break * fix some tests * finish * Change safety checker * Add missing safety_checker.py file * Remove unused imports Co-authored-by:
PatrickSchrML <patrick_schramowski@hotmail.de> Co-authored-by:
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- 18 Nov, 2022 1 commit
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Clayton Sims authored
* Add legacy inpainting pipeline compatibility for onnx * remove commented out line * Add onnx legacy inpainting test * Fix slow decorators * pep8 styling * isort styling * dummy object * ordering consistency * style * docstring styles * Refactor common prompt encoding pattern * Update tests to permanent repository home * support all available schedulers until ONNX IO binding is available 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 * some fixes * add text model * use the correct config * add docs * move model in it's own file * move model in its own file * pass attenion mask to text encoder * pass attn mask to uncond inputs * quality * fix image2image * add imag2image in init * fix import * fix one more import * fix import, dummy objetcs * fix copied from * up * finish Co-authored-by:patil-suraj <surajp815@gmail.com>
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- 09 Nov, 2022 1 commit
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Duong A. Nguyen authored
* Add ldm super resolution pipeline * style * fix copies * style * fix doc * Update src/diffusers/pipelines/latent_diffusion/pipeline_latent_diffusion_superresolution.py Co-authored-by:
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- 04 Nov, 2022 1 commit
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Chen Wu (吴尘) authored
* Add CycleDiffusion pipeline for Stable Diffusion * Add the option of passing noise to DDIMScheduler Add the option of providing the noise itself to DDIMScheduler, instead of the random seed generator. * Update README.md * Update README.md * Update pipeline_stable_diffusion_cycle_diffusion.py * Update pipeline_stable_diffusion_cycle_diffusion.py * Update pipeline_stable_diffusion_cycle_diffusion.py * Update pipeline_stable_diffusion_cycle_diffusion.py * Update scheduling_ddim.py * Update import format * Update pipeline_stable_diffusion_cycle_diffusion.py * Update scheduling_ddim.py * Update src/diffusers/schedulers/scheduling_ddim.py Co-authored-by:
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- 03 Nov, 2022 2 commits
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Will Berman authored
* Changes for VQ-diffusion VQVAE Add specify dimension of embeddings to VQModel: `VQModel` will by default set the dimension of embeddings to the number of latent channels. The VQ-diffusion VQVAE has a smaller embedding dimension, 128, than number of latent channels, 256. Add AttnDownEncoderBlock2D and AttnUpDecoderBlock2D to the up and down unet block helpers. VQ-diffusion's VQVAE uses those two block types. * Changes for VQ-diffusion transformer Modify attention.py so SpatialTransformer can be used for VQ-diffusion's transformer. SpatialTransformer: - Can now operate over discrete inputs (classes of vector embeddings) as well as continuous. - `in_channels` was made optional in the constructor so two locations where it was passed as a positional arg were moved to kwargs - modified forward pass to take optional timestep embeddings ImagePositionalEmbeddings: - added to provide positional embeddings to discrete inputs for latent pixels BasicTransformerBlock: - norm layers were made configurable so that the VQ-diffusion could use AdaLayerNorm with timestep embeddings - modified forward pass to take optional timestep embeddings CrossAttention: - now may optionally take a bias parameter for its query, key, and value linear layers FeedForward: - Internal layers are now configurable ApproximateGELU: - Activation function in VQ-diffusion's feedforward layer AdaLayerNorm: - Norm layer modified to incorporate timestep embeddings * Add VQ-diffusion scheduler * Add VQ-diffusion pipeline * Add VQ-diffusion convert script to diffusers * Add VQ-diffusion dummy objects * Add VQ-diffusion markdown docs * Add VQ-diffusion tests * some renaming * some fixes * more renaming * correct * fix typo * correct weights * finalize * fix tests * Apply suggestions from code review Co-authored-by:
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Revist authored
* feat: add repaint * fix: fix quality check with `make fix-copies` * fix: remove old unnecessary arg * chore: change default to DDPM (looks better in experiments) * ".to(device)" changed to "device=" Co-authored-by:
fja <fja@zurich.ibm.com> Co-authored-by:
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- 25 Oct, 2022 1 commit
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Patrick von Platen authored
* start * add more logic * Update src/diffusers/models/unet_2d_condition_flax.py * match weights * up * make model work * making class more general, fixing missed file rename * small fix * make new conversion work * up * finalize conversion * up * first batch of variable renamings * remove c and c_prev var names * add mid and out block structure * add pipeline * up * finish conversion * finish * upload * more fixes * Apply suggestions from code review * add attr * up * uP * up * finish tests * finish * uP * finish * fix test * up * naming consistency in tests * Apply suggestions from code review Co-authored-by:
Nathan Lambert <nathan@huggingface.co> Co-authored-by:
Nathan Lambert <nol@berkeley.edu> Co-authored-by:
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- 19 Oct, 2022 1 commit
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Patrick von Platen authored
* finish * up * Apply suggestions from code review Co-authored-by:
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- 18 Oct, 2022 2 commits
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Žilvinas Ledas authored
* * Stabe Diffusion img2img using onnx. * * Stabe Diffusion inpaint using onnx. * Export vae_encoder, upgrade img2img, add test * updated inpainting pipeline + test * style Co-authored-by: -
Anton Lozhkov authored
Rename and deprecate
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- 06 Oct, 2022 2 commits
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Anton Lozhkov authored
Temporarily remove Flax modules from the public API
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- 03 Oct, 2022 1 commit
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Pedro Cuenca authored
* Don't use `load_state_dict` if torch is not installed. * Define `SchedulerOutput` to use torch or flax arrays. * Don't import LMSDiscreteScheduler without torch. * Create distinct FlaxSchedulerOutput. * Additional changes required for FlaxSchedulerMixin * Do not import torch pipelines in Flax. * Revert "Define `SchedulerOutput` to use torch or flax arrays." This reverts commit f653140134b74d9ffec46d970eb46925fe3a409d. * Prefix Flax scheduler outputs for consistency. * make style * FlaxSchedulerOutput is now a dataclass. * Don't use f-string without placeholders. * Add blank line. * Style (docstrings)
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- 20 Sep, 2022 1 commit
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Mishig Davaadorj authored
* WIP: flax FlaxDiffusionPipeline & FlaxStableDiffusionPipeline * todo comment * Fix imports * Fix imports * add dummies * Fix empty init * make pipeline work * up * Use Flax schedulers (typing, docstring) * Wrap model imports inside availability checks. * more updates * make sure flax is not broken * make style * more fixes * up Co-authored-by:
Pedro Cuenca <pedro@latenitesoft.com>
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- 08 Sep, 2022 1 commit
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Anton Lozhkov authored
* initial export and design * update imports * custom prover, import fixes * Update src/diffusers/onnx_utils.py Co-authored-by:
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- 07 Sep, 2022 1 commit
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Kashif Rasul authored
* karras-ve docs for issue #293 * make style
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- 01 Sep, 2022 1 commit
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Anton Lozhkov authored
* Fix flake8 F401 '...' imported but unused * One more F403
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- 30 Aug, 2022 1 commit
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Patrick von Platen authored
* [Examples readme] * Improve * more * save * save * save more * up * up * Apply suggestions from code review Co-authored-by:
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- 17 Aug, 2022 1 commit
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Anton Lozhkov authored
* Revive Make utils * Add datasets for training too
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- 14 Aug, 2022 1 commit
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Suraj Patil authored
* add stable diffusion pipeline * get rid of multiple if/else * batch_size is unused * add type hints * Update src/diffusers/pipelines/stable_diffusion/pipeline_stable_diffusion.py * fix some bugs Co-authored-by:
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- 09 Aug, 2022 1 commit
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Anton Lozhkov authored
* karras + VE, not flexible yet * Fix inputs incompatibility with the original unet * Roll back sigma scaling * Apply suggestions from code review * Old comment * Fix doc
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- 20 Jul, 2022 1 commit
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Patrick von Platen authored
up
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- 19 Jul, 2022 1 commit
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Patrick von Platen authored
* big purge * more fixes * finish for now
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- 13 Jul, 2022 1 commit
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Patrick von Platen authored
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- 28 Jun, 2022 2 commits
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Patrick von Platen authored
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patil-suraj authored
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