- 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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- 25 Nov, 2022 2 commits
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anton- authored
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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:Patrick von Platen <patrick.v.platen@gmail.com>
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- 24 Nov, 2022 1 commit
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Anton Lozhkov authored
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- 23 Nov, 2022 3 commits
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anton-l authored
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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:anton-l <anton@huggingface.co>
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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:
Pedro Cuenca <pedro@huggingface.co> * input_image -> image * remove deprication warnings * fix test_stable_diffusion_img_variation_multiple_images * make flake happy 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:
Anton Lozhkov <aglozhkov@gmail.com> * updated styling from PR suggested feedback 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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- 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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- 04 Nov, 2022 3 commits
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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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Anton Lozhkov authored
* Bump to 0.8.0.dev0 * deprecate int timesteps * style
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Patrick von Platen authored
* finish * finish * Update src/diffusers/modeling_utils.py * Update src/diffusers/pipeline_utils.py Co-authored-by:
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- 03 Nov, 2022 5 commits
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Patrick von Platen authored
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anton-l authored
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Suraj Patil authored
* make accelerate hard dep * default fast init * move params to cpu when device map is None * handle device_map=None * handle torch < 1.9 * remove device_map="auto" * style * add accelerate in torch extra * remove accelerate from extras["test"] * raise an error if torch is available but not accelerate * update installation docs * Apply suggestions from code review Co-authored-by:
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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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- 31 Oct, 2022 1 commit
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hlky authored
* k-diffusion-euler * make style make quality * make fix-copies * fix tests for euler a * Update src/diffusers/schedulers/scheduling_euler_ancestral_discrete.py 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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- 20 Oct, 2022 1 commit
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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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- 19 Oct, 2022 2 commits
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anton-l authored
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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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- 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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- 13 Oct, 2022 2 commits
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Patrick von Platen authored
Patch Release: 0.5.1
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Anton Lozhkov authored
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- 07 Oct, 2022 2 commits
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Patrick von Platen authored
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Patrick von Platen authored
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- 06 Oct, 2022 6 commits
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anton-l authored
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anton-l authored
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anton-l authored
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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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