- 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:
Pedro Cuenca <pedro@huggingface.co> Co-authored-by:
Anton Lozhkov <anton@huggingface.co> 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:
Patrick von Platen <patrick.v.platen@gmail.com> * 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:
Anton Lozhkov <aglozhkov@gmail.com> * 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 3 commits
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Patrick von Platen authored
* Rename latent * uP
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Suraj Patil authored
* add euler scheduler in docs * add a section for how to use different scheds * address patrck's comments
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MatthieuTPHR authored
* 2x speedup using memory efficient attention * remove einops dependency * Swap K, M in op instantiation * Simplify code, remove unnecessary maybe_init call and function, remove unused self.scale parameter * make xformers a soft dependency * remove one-liner functions * change one letter variable to appropriate names * Remove Env variable dependency, remove MemoryEfficientCrossAttention class and use enable_xformers_memory_efficient_attention method * Add memory efficient attention toggle to img2img and inpaint pipelines * Clearer management of xformers' availability * update optimizations markdown to add info about memory efficient attention * add benchmarks for TITAN RTX * More detailed explanation of how the mem eff benchmark were ran * Removing autocast from optimization markdown * import_utils: import torch only if is available Co-authored-by:Nouamane Tazi <nouamane98@gmail.com>
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- 31 Oct, 2022 2 commits
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Patrick von Platen authored
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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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- 29 Oct, 2022 2 commits
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Nathan Lambert authored
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Minwoo Byeon authored
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- 28 Oct, 2022 1 commit
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Pedro Cuenca authored
* Update training and fine-tuning docs. * Update examples README. * Update README. * Add Flax fine-tuning section. * Accept suggestion Co-authored-by:
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- 27 Oct, 2022 1 commit
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Pi Esposito authored
* document cpu offloading method * address review comments Co-authored-by:
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- 25 Oct, 2022 3 commits
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Ella Charlaix authored
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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 <nol@berkeley.edu> Co-authored-by:
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Pedro Cuenca authored
* Docs: refer to pre-RC version of PyTorch 1.13.0. * Remove temporary workaround for unavailable op. * Update comment to make it less ambiguous. * Remove use of contiguous in mps. It appears to not longer be necessary. * Special case: use einsum for much better performance in mps * Update mps docs. * Minor doc update. * Accept suggestion Co-authored-by:
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- 24 Oct, 2022 2 commits
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Nathan Lambert authored
* add community pipeline docs * fix style in code snippets (lol) * clean up loading docs * add license to doc files * fix some weird links
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apolinario authored
* Update README.md Additionally add FLAX so the model card can be slimmer and point to this page * Find and replace all * v-1-5 -> v1-5 * revert test changes * Update README.md Co-authored-by:
apolinario <joaopaulo.passos+multimodal@gmail.com> Co-authored-by:
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- 20 Oct, 2022 1 commit
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Patrick von Platen authored
* [Stable Diffusion] Add components function * uP
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- 19 Oct, 2022 1 commit
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Pedro Cuenca authored
Docs update for new in-painting pipeline. Co-authored-by:
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- 11 Oct, 2022 3 commits
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Patrick von Platen authored
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Pedro Cuenca authored
* mps: alt. implementation for repeat_interleave * style * Bump mps version of PyTorch in the documentation. * Apply suggestions from code review Co-authored-by:
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Omar Sanseviero authored
Update custom_pipelines.mdx
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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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