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- 07 Dec, 2022 4 commits
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Nathan Lambert authored
* init docs update * style * fix bad colab formatting, add pipeline comment * update todo
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Cheng Lu authored
* add singlestep dpmsolver * fix a style typo * fix a style typo * add docs * finish Co-authored-by:Patrick von Platen <patrick.v.platen@gmail.com>
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Anton Lozhkov authored
* Add from_pretrained usage logging * Add classes * add a telemetry notice * macos
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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:
Pedro Cuenca <pedro@huggingface.co> * Apply suggestions from code review * up * finish 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 <anton@huggingface.co> Fix the order of casts for onnx inpainting (#1338) Legacy Inpainting Pipeline for Onnx Models (#1237) * 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:
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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- 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 2 commits
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fboulnois authored
* feat: switch core pipelines to use image arg * test: update tests for core pipelines * feat: switch examples to use image arg * docs: update docs to use image arg * style: format code using black and doc-builder * fix: deprecate use of init_image in all pipelines
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regisss authored
* Add doc for Stable Diffusion on Habana Gaudi * Make style * Add benchmark * Center-align columns in the benchmark table
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- 30 Nov, 2022 1 commit
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Patrick von Platen authored
* Add better docs xformers * update * Apply suggestions from code review * fix
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- 29 Nov, 2022 1 commit
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Ilmari Heikkinen authored
* StableDiffusion: Decode latents separately to run larger batches * Move VAE sliced decode under enable_vae_sliced_decode and vae.enable_sliced_decode * Rename sliced_decode to slicing * fix whitespace * fix quality check and repository consistency * VAE slicing tests and documentation * API doc hooks for VAE slicing * reformat vae slicing tests * Skip VAE slicing for one-image batches * Documentation tweaks for VAE slicing Co-authored-by:Ilmari Heikkinen <ilmari@fhtr.org>
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- 25 Nov, 2022 3 commits
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Kashif Rasul authored
fixed typos
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Patrick von Platen authored
* up * up * up * up
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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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- 21 Nov, 2022 1 commit
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shunxing1234 authored
* Update alt_diffusion.mdx * Update alt_diffusion.mdx
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- 17 Nov, 2022 3 commits
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Nathan Lambert authored
* add docs for multi-modal * many changes * fix docs build * fix links * Update docs/source/using-diffusers/other-modalities.mdx Co-authored-by:
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Patrick von Platen authored
* make fix copies again * Fix typo
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Patrick von Platen authored
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- 16 Nov, 2022 1 commit
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Patrick von Platen authored
* Better error message for transformers dummy * [PIL] Better deprecation functionality * up
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- 15 Nov, 2022 2 commits
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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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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:
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- 14 Nov, 2022 2 commits
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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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Partho authored
fix link typo
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- 11 Nov, 2022 1 commit
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ruanrz authored
update img2img example
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- 10 Nov, 2022 1 commit
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apolinario authored
* Add a reference to the name 'Sampler' - Facilitate people that are familiar with the name samplers to understand that we call that schedulers - Better SEO if people are googling for samplers to find our library as well * Update README.md with a reference to 'Sampler'
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- 09 Nov, 2022 2 commits
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Patrick von Platen authored
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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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- 07 Nov, 2022 4 commits
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Pedro Cuenca authored
Link to Dreambooth blog post instead of W&B report.
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Patrick von Platen authored
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Patrick von Platen authored
* add loading script * Apply suggestions from code review * Apply suggestions from code review Co-authored-by:
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Pedro Cuenca authored
* Change title to match the sidebar in _toctree. * Fix custom pipe link, add link to contribute. * Fix community pipeline links.
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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 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 4 commits
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Pedro Cuenca authored
Do not require PyTorch nightlies.
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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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- 02 Nov, 2022 1 commit
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Patrick von Platen authored
* Rename latent * uP
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