1. 11 Apr, 2023 3 commits
    • Chanchana Sornsoontorn's avatar
      Fix typo and format BasicTransformerBlock attributes (#2953) · 52c4d32d
      Chanchana Sornsoontorn authored
      * ️chore(train_controlnet) fix typo in logger message
      
      * ️chore(models) refactor modules order; make them the same as calling order
      
      When printing the BasicTransformerBlock to stdout, I think it's crucial that the attributes order are shown in proper order. And also previously the "3. Feed Forward" comment was not making sense. It should have been close to self.ff but it's instead next to self.norm3
      
      * correct many tests
      
      * remove bogus file
      
      * make style
      
      * correct more tests
      
      * finish tests
      
      * fix one more
      
      * make style
      
      * make unclip deterministic
      
      * 
      
      ️chore(models/attention) reorganize comments in BasicTransformerBlock class
      
      ---------
      Co-authored-by: default avatarPatrick von Platen <patrick.v.platen@gmail.com>
      52c4d32d
    • Will Berman's avatar
      config fixes (#3060) · 80bc0c0c
      Will Berman authored
      80bc0c0c
    • Pedro Cuenca's avatar
      mps: skip unstable test (#3037) · fbc9a736
      Pedro Cuenca authored
      fbc9a736
  2. 10 Apr, 2023 2 commits
  3. 31 Mar, 2023 2 commits
  4. 30 Mar, 2023 1 commit
  5. 28 Mar, 2023 2 commits
  6. 27 Mar, 2023 2 commits
  7. 24 Mar, 2023 2 commits
    • Kashif Rasul's avatar
      Relax DiT test (#2808) · f6feb699
      Kashif Rasul authored
      * Relax DiT test
      
      * relax 2 more tests
      
      * fix style
      
      * skip test on mac due to older protobuf
      f6feb699
    • Bahjat Kawar's avatar
      Add ModelEditing pipeline (#2721) · 37a44bb2
      Bahjat Kawar authored
      
      
      * TIME first commit
      
      * styling.
      
      * styling 2.
      
      * fixes; tests
      
      * apply styling and doc fix.
      
      * remove sups.
      
      * fixes
      
      * remove temp file
      
      * move augmentations to const
      
      * added doc entry
      
      * code quality
      
      * customize augmentations
      
      * quality
      
      * quality
      
      ---------
      Co-authored-by: default avatarSayak Paul <spsayakpaul@gmail.com>
      37a44bb2
  8. 23 Mar, 2023 5 commits
    • Sanchit Gandhi's avatar
      Add AudioLDM (#2232) · b94880e5
      Sanchit Gandhi authored
      
      
      * Add AudioLDM
      
      * up
      
      * add vocoder
      
      * start unet
      
      * unconditional unet
      
      * clap, vocoder and vae
      
      * clean-up: conversion scripts
      
      * fix: conversion script token_type_ids
      
      * clean-up: pipeline docstring
      
      * tests: from SD
      
      * clean-up: cpu offload vocoder instead of safety checker
      
      * feat: adapt tests to audioldm
      
      * feat: add docs
      
      * clean-up: amend pipeline docstrings
      
      * clean-up: make style
      
      * clean-up: make fix-copies
      
      * fix: add doc path to toctree
      
      * clean-up: args for conversion script
      
      * clean-up: paths to checkpoints
      
      * fix: use conditional unet
      
      * clean-up: make style
      
      * fix: type hints for UNet
      
      * clean-up: docstring for UNet
      
      * clean-up: make style
      
      * clean-up: remove duplicate in docstring
      
      * clean-up: make style
      
      * clean-up: make fix-copies
      
      * clean-up: move imports to start in code snippet
      
      * fix: pass cross_attention_dim as a list/tuple to unet
      
      * clean-up: make fix-copies
      
      * fix: update checkpoint path
      
      * fix: unet cross_attention_dim in tests
      
      * film embeddings -> class embeddings
      
      * Apply suggestions from code review
      Co-authored-by: default avatarWill Berman <wlbberman@gmail.com>
      
      * fix: unet film embed to use existing args
      
      * fix: unet tests to use existing args
      
      * fix: make style
      
      * fix: transformers import and version in init
      
      * clean-up: make style
      
      * Revert "clean-up: make style"
      
      This reverts commit 5d6d1f8b324f5583e7805dc01e2c86e493660d66.
      
      * clean-up: make style
      
      * clean-up: use pipeline tester mixin tests where poss
      
      * clean-up: skip attn slicing test
      
      * fix: add torch dtype to docs
      
      * fix: remove conversion script out of src
      
      * fix: remove .detach from 1d waveform
      
      * fix: reduce default num inf steps
      
      * fix: swap height/width -> audio_length_in_s
      
      * clean-up: make style
      
      * fix: remove nightly tests
      
      * fix: imports in conversion script
      
      * clean-up: slim-down to two slow tests
      
      * clean-up: slim-down fast tests
      
      * fix: batch consistent tests
      
      * clean-up: make style
      
      * clean-up: remove vae slicing fast test
      
      * clean-up: propagate changes to doc
      
      * fix: increase test tol to 1e-2
      
      * clean-up: finish docs
      
      * clean-up: make style
      
      * feat: vocoder / VAE compatibility check
      
      * feat: possibly expand / cut audio waveform
      
      * fix: pipeline call signature test
      
      * fix: slow tests output len
      
      * clean-up: make style
      
      * make style
      
      ---------
      Co-authored-by: default avatarPatrick von Platen <patrick.v.platen@gmail.com>
      Co-authored-by: default avatarWilliam Berman <WLBberman@gmail.com>
      b94880e5
    • YiYi Xu's avatar
      Flax controlnet (#2727) · df91c447
      YiYi Xu authored
      
      
      * add contronet flax
      
      ---------
      Co-authored-by: default avataryiyixuxu <yixu310@gmail,com>
      df91c447
    • Pedro Cuenca's avatar
      Skip `mps` in text-to-video tests (#2792) · aa0531fa
      Pedro Cuenca authored
      * Skip mps in text-to-video tests.
      
      * style
      
      * Skip UNet3D mps tests.
      aa0531fa
    • Kashif Rasul's avatar
      Music Spectrogram diffusion pipeline (#1044) · 2ef9bdd7
      Kashif Rasul authored
      
      
      * initial TokenEncoder and ContinuousEncoder
      
      * initial modules
      
      * added ContinuousContextTransformer
      
      * fix copy paste error
      
      * use numpy for get_sequence_length
      
      * initial terminal relative positional encodings
      
      * fix weights keys
      
      * fix assert
      
      * cross attend style: concat encodings
      
      * make style
      
      * concat once
      
      * fix formatting
      
      * Initial SpectrogramPipeline
      
      * fix input_tokens
      
      * make style
      
      * added mel output
      
      * ignore weights for config
      
      * move mel to numpy
      
      * import pipeline
      
      * fix class names and import
      
      * moved models to models folder
      
      * import ContinuousContextTransformer and SpectrogramDiffusionPipeline
      
      * initial spec diffusion converstion script
      
      * renamed config to t5config
      
      * added weight loading
      
      * use arguments instead of t5config
      
      * broadcast noise time to batch dim
      
      * fix call
      
      * added scale_to_features
      
      * fix weights
      
      * transpose laynorm weight
      
      * scale is a vector
      
      * scale the query outputs
      
      * added comment
      
      * undo scaling
      
      * undo depth_scaling
      
      * inital get_extended_attention_mask
      
      * attention_mask is none in self-attention
      
      * cleanup
      
      * manually invert attention
      
      * nn.linear need bias=False
      
      * added T5LayerFFCond
      
      * remove to fix conflict
      
      * make style and dummy
      
      * remove unsed variables
      
      * remove predict_epsilon
      
      * Move accelerate to a soft-dependency (#1134)
      
      * finish
      
      * finish
      
      * Update src/diffusers/modeling_utils.py
      
      * Update src/diffusers/pipeline_utils.py
      Co-authored-by: default avatarAnton Lozhkov <anton@huggingface.co>
      
      * more fixes
      
      * fix
      Co-authored-by: default avatarAnton Lozhkov <anton@huggingface.co>
      
      * fix order
      
      * added initial midi to note token data pipeline
      
      * added int to int tokenizer
      
      * remove duplicate
      
      * added logic for segments
      
      * add melgan to pipeline
      
      * move autoregressive gen into pipeline
      
      * added note_representation_processor_chain
      
      * fix dtypes
      
      * remove immutabledict req
      
      * initial doc
      
      * use np.where
      
      * require note_seq
      
      * fix typo
      
      * update dependency
      
      * added note-seq to test
      
      * added is_note_seq_available
      
      * fix import
      
      * added toc
      
      * added example usage
      
      * undo for now
      
      * moved docs
      
      * fix merge
      
      * fix imports
      
      * predict first segment
      
      * avoid un-needed copy to and from cpu
      
      * make style
      
      * Copyright
      
      * fix style
      
      * add test and fix inference steps
      
      * remove bogus files
      
      * reorder models
      
      * up
      
      * remove transformers dependency
      
      * make work with diffusers cross attention
      
      * clean more
      
      * remove @
      
      * improve further
      
      * up
      
      * uP
      
      * Apply suggestions from code review
      
      * Update tests/pipelines/spectrogram_diffusion/test_spectrogram_diffusion.py
      
      * loop over all tokens
      
      * make style
      
      * Added a section on the model
      
      * fix formatting
      
      * grammer
      
      * formatting
      
      * make fix-copies
      
      * Update src/diffusers/pipelines/__init__.py
      Co-authored-by: default avatarPatrick von Platen <patrick.v.platen@gmail.com>
      
      * Update src/diffusers/pipelines/spectrogram_diffusion/pipeline_spectrogram_diffusion.py
      Co-authored-by: default avatarPatrick von Platen <patrick.v.platen@gmail.com>
      
      * added callback ad optional ionnx
      
      * do not squeeze batch dim
      
      * clean up more
      
      * upload
      
      * convert jax to nnumpy
      
      * make style
      
      * fix warning
      
      * make fix-copies
      
      * fix warning
      
      * add initial fast tests
      
      * add initial pipeline_params
      
      * eval mode due to dropout
      
      * skip batch tests as pipeline runs on a single file
      
      * make style
      
      * fix relative path
      
      * fix doc tests
      
      * Update src/diffusers/models/t5_film_transformer.py
      Co-authored-by: default avatarPatrick von Platen <patrick.v.platen@gmail.com>
      
      * Update src/diffusers/models/t5_film_transformer.py
      Co-authored-by: default avatarPatrick von Platen <patrick.v.platen@gmail.com>
      
      * Update docs/source/en/api/pipelines/spectrogram_diffusion.mdx
      Co-authored-by: default avatarPatrick von Platen <patrick.v.platen@gmail.com>
      
      * Update tests/pipelines/spectrogram_diffusion/test_spectrogram_diffusion.py
      Co-authored-by: default avatarPatrick von Platen <patrick.v.platen@gmail.com>
      
      * Update tests/pipelines/spectrogram_diffusion/test_spectrogram_diffusion.py
      Co-authored-by: default avatarPatrick von Platen <patrick.v.platen@gmail.com>
      
      * Update tests/pipelines/spectrogram_diffusion/test_spectrogram_diffusion.py
      Co-authored-by: default avatarPatrick von Platen <patrick.v.platen@gmail.com>
      
      * Update tests/pipelines/spectrogram_diffusion/test_spectrogram_diffusion.py
      Co-authored-by: default avatarPatrick von Platen <patrick.v.platen@gmail.com>
      
      * add MidiProcessor
      
      * format
      
      * fix org
      
      * Apply suggestions from code review
      
      * Update tests/pipelines/spectrogram_diffusion/test_spectrogram_diffusion.py
      
      * make style
      
      * pin protobuf to <4
      
      * fix formatting
      
      * white space
      
      * tensorboard needs protobuf
      
      ---------
      Co-authored-by: default avatarPatrick von Platen <patrick.v.platen@gmail.com>
      Co-authored-by: default avatarAnton Lozhkov <anton@huggingface.co>
      2ef9bdd7
    • Naoki Ainoya's avatar
      Rename 'CLIPFeatureExtractor' class to 'CLIPImageProcessor' (#2732) · 14e3a28c
      Naoki Ainoya authored
      The 'CLIPFeatureExtractor' class name has been renamed to 'CLIPImageProcessor' in order to comply with future deprecation. This commit includes the necessary changes to the affected files.
      14e3a28c
  9. 22 Mar, 2023 2 commits
    • Pedro Cuenca's avatar
      `mps`: remove warmup passes (#2771) · 92e1164e
      Pedro Cuenca authored
      * Remove warmup passes in mps tests.
      
      * Update mps docs: no warmup pass in PyTorch 2
      
      * Update imports.
      92e1164e
    • Patrick von Platen's avatar
      [MS Text To Video] Add first text to video (#2738) · ca1a2229
      Patrick von Platen authored
      
      
      * [MS Text To Video} Add first text to video
      
      * upload
      
      * make first model example
      
      * match unet3d params
      
      * make sure weights are correcctly converted
      
      * improve
      
      * forward pass works, but diff result
      
      * make forward work
      
      * fix more
      
      * finish
      
      * refactor video output class.
      
      * feat: add support for a video export utility.
      
      * fix: opencv availability check.
      
      * run make fix-copies.
      
      * add: docs for the model components.
      
      * add: standalone pipeline doc.
      
      * edit docstring of the pipeline.
      
      * add: right path to TransformerTempModel
      
      * add: first set of tests.
      
      * complete fast tests for text to video.
      
      * fix bug
      
      * up
      
      * three fast tests failing.
      
      * add: note on slow tests
      
      * make work with all schedulers
      
      * apply styling.
      
      * add slow tests
      
      * change file name
      
      * update
      
      * more correction
      
      * more fixes
      
      * finish
      
      * up
      
      * Apply suggestions from code review
      
      * up
      
      * finish
      
      * make copies
      
      * fix pipeline tests
      
      * fix more tests
      
      * Apply suggestions from code review
      Co-authored-by: default avatarPedro Cuenca <pedro@huggingface.co>
      
      * apply suggestions
      
      * up
      
      * revert
      
      ---------
      Co-authored-by: default avatarSayak Paul <spsayakpaul@gmail.com>
      Co-authored-by: default avatarPedro Cuenca <pedro@huggingface.co>
      ca1a2229
  10. 21 Mar, 2023 1 commit
  11. 18 Mar, 2023 2 commits
  12. 15 Mar, 2023 1 commit
  13. 14 Mar, 2023 3 commits
  14. 13 Mar, 2023 3 commits
  15. 06 Mar, 2023 1 commit
    • Sean Sube's avatar
      add OnnxStableDiffusionUpscalePipeline pipeline (#2158) · 9920c333
      Sean Sube authored
      * [Onnx] add Stable Diffusion Upscale pipeline
      
      * add a test for the OnnxStableDiffusionUpscalePipeline
      
      * check for VAE config before adjusting scaling factor
      
      * update test assertions, lint fixes
      
      * run fix-copies target
      
      * switch test checkpoint to one hosted on huggingface
      
      * partially restore attention mask
      
      * reshape embeddings after running text encoder
      
      * add longer nightly test for ONNX upscale pipeline
      
      * use package import to fix tests
      
      * fix scheduler compatibility and class labels dtype
      
      * use more precise type
      
      * remove LMS from fast tests
      
      * lookup latent and timestamp types
      
      * add docs for ONNX upscaling, rename lookup table
      
      * replace deprecated pipeline names in ONNX docs
      9920c333
  16. 03 Mar, 2023 1 commit
  17. 02 Mar, 2023 2 commits
    • Ilmari Heikkinen's avatar
      8k Stable Diffusion with tiled VAE (#1441) · 80148484
      Ilmari Heikkinen authored
      
      
      * Tiled VAE for high-res text2img and img2img
      
      * vae tiling, fix formatting
      
      * enable_vae_tiling API and tests
      
      * tiled vae docs, disable tiling for images that would have only one tile
      
      * tiled vae tests, use channels_last memory format
      
      * tiled vae tests, use smaller test image
      
      * tiled vae tests, remove tiling test from fast tests
      
      * up
      
      * up
      
      * make style
      
      * Apply suggestions from code review
      
      * Apply suggestions from code review
      
      * Apply suggestions from code review
      
      * make style
      
      * improve naming
      
      * finish
      
      * apply suggestions
      
      * Apply suggestions from code review
      Co-authored-by: default avatarPedro Cuenca <pedro@huggingface.co>
      
      * up
      
      ---------
      Co-authored-by: default avatarIlmari Heikkinen <ilmari@fhtr.org>
      Co-authored-by: default avatarPatrick von Platen <patrick.v.platen@gmail.com>
      Co-authored-by: default avatarPedro Cuenca <pedro@huggingface.co>
      80148484
    • Takuma Mori's avatar
      Add a ControlNet model & pipeline (#2407) · 8dfff7c0
      Takuma Mori authored
      
      
      * add scaffold
      - copied convert_controlnet_to_diffusers.py from
      convert_original_stable_diffusion_to_diffusers.py
      
      * Add support to load ControlNet (WIP)
      - this makes Missking Key error on ControlNetModel
      
      * Update to convert ControlNet without error msg
      - init impl for StableDiffusionControlNetPipeline
      - init impl for ControlNetModel
      
      * cleanup of commented out
      
      * split create_controlnet_diffusers_config()
      from create_unet_diffusers_config()
      
      - add config: hint_channels
      
      * Add input_hint_block, input_zero_conv and
      middle_block_out
      - this makes missing key error on loading model
      
      * add unet_2d_blocks_controlnet.py
      - copied from unet_2d_blocks.py as impl CrossAttnDownBlock2D,DownBlock2D
      - this makes missing key error on loading model
      
      * Add loading for input_hint_block, zero_convs
      and middle_block_out
      
      - this makes no error message on model loading
      
      * Copy from UNet2DConditionalModel except __init__
      
      * Add ultra primitive test for ControlNetModel
      inference
      
      * Support ControlNetModel inference
      - without exceptions
      
      * copy forward() from UNet2DConditionModel
      
      * Impl ControlledUNet2DConditionModel inference
      - test_controlled_unet_inference passed
      
      * Frozen weight & biases for training
      
      * Minimized version of ControlNet/ControlledUnet
      - test_modules_controllnet.py passed
      
      * make style
      
      * Add support model loading for minimized ver
      
      * Remove all previous version files
      
      * from_pretrained and inference test passed
      
      * copied from pipeline_stable_diffusion.py
      except `__init__()`
      
      * Impl pipeline, pixel match test (almost) passed.
      
      * make style
      
      * make fix-copies
      
      * Fix to add import ControlNet blocks
      for `make fix-copies`
      
      * Remove einops dependency
      
      * Support  np.ndarray, PIL.Image for controlnet_hint
      
      * set default config file as lllyasviel's
      
      * Add support grayscale (hw) numpy array
      
      * Add and update docstrings
      
      * add control_net.mdx
      
      * add control_net.mdx to toctree
      
      * Update copyright year
      
      * Fix to add PIL.Image RGB->BGR conversion
      - thanks @Mystfit
      
      * make fix-copies
      
      * add basic fast test for controlnet
      
      * add slow test for controlnet/unet
      
      * Ignore down/up_block len check on ControlNet
      
      * add a copy from test_stable_diffusion.py
      
      * Accept controlnet_hint is None
      
      * merge pipeline_stable_diffusion.py diff
      
      * Update class name to SDControlNetPipeline
      
      * make style
      
      * Baseline fast test almost passed (w long desc)
      
      * still needs investigate.
      
      Following didn't passed descriped in TODO comment:
      - test_stable_diffusion_long_prompt
      - test_stable_diffusion_no_safety_checker
      
      Following didn't passed same as stable_diffusion_pipeline:
      - test_attention_slicing_forward_pass
      - test_inference_batch_single_identical
      - test_xformers_attention_forwardGenerator_pass
      these seems come from calc accuracy.
      
      * Add note comment related vae_scale_factor
      
      * add test_stable_diffusion_controlnet_ddim
      
      * add assertion for vae_scale_factor != 8
      
      * slow test of pipeline almost passed
      Failed: test_stable_diffusion_pipeline_with_model_offloading
      - ImportError: `enable_model_offload` requires `accelerate v0.17.0` or higher
      
      but currently latest version == 0.16.0
      
      * test_stable_diffusion_long_prompt passed
      
      * test_stable_diffusion_no_safety_checker passed
      
      - due to its model size, move to slow test
      
      * remove PoC test files
      
      * fix num_of_image, prompt length issue add add test
      
      * add support List[PIL.Image] for controlnet_hint
      
      * wip
      
      * all slow test passed
      
      * make style
      
      * update for slow test
      
      * RGB(PIL)->BGR(ctrlnet) conversion
      
      * fixes
      
      * remove manual num_images_per_prompt test
      
      * add document
      
      * add `image` argument docstring
      
      * make style
      
      * Add line to correct conversion
      
      * add controlnet_conditioning_scale (aka control_scales
      strength)
      
      * rgb channel ordering by default
      
      * image batching logic
      
      * Add control image descriptions for each checkpoint
      
      * Only save controlnet model in conversion script
      
      * Update src/diffusers/pipelines/stable_diffusion/pipeline_stable_diffusion_controlnet.py
      
      typo
      Co-authored-by: default avatarPedro Cuenca <pedro@huggingface.co>
      
      * Update docs/source/en/api/pipelines/stable_diffusion/control_net.mdx
      Co-authored-by: default avatarPedro Cuenca <pedro@huggingface.co>
      
      * Update docs/source/en/api/pipelines/stable_diffusion/control_net.mdx
      Co-authored-by: default avatarPedro Cuenca <pedro@huggingface.co>
      
      * Update docs/source/en/api/pipelines/stable_diffusion/control_net.mdx
      Co-authored-by: default avatarPedro Cuenca <pedro@huggingface.co>
      
      * Update docs/source/en/api/pipelines/stable_diffusion/control_net.mdx
      Co-authored-by: default avatarPedro Cuenca <pedro@huggingface.co>
      
      * Update docs/source/en/api/pipelines/stable_diffusion/control_net.mdx
      Co-authored-by: default avatarPedro Cuenca <pedro@huggingface.co>
      
      * Update docs/source/en/api/pipelines/stable_diffusion/control_net.mdx
      Co-authored-by: default avatarPedro Cuenca <pedro@huggingface.co>
      
      * Update docs/source/en/api/pipelines/stable_diffusion/control_net.mdx
      Co-authored-by: default avatarPedro Cuenca <pedro@huggingface.co>
      
      * Update docs/source/en/api/pipelines/stable_diffusion/control_net.mdx
      Co-authored-by: default avatarPedro Cuenca <pedro@huggingface.co>
      
      * Update docs/source/en/api/pipelines/stable_diffusion/control_net.mdx
      Co-authored-by: default avatarPedro Cuenca <pedro@huggingface.co>
      
      * add gerated image example
      
      * a depth mask -> a depth map
      
      * rename control_net.mdx to controlnet.mdx
      
      * fix toc title
      
      * add ControlNet abstruct and link
      
      * Update src/diffusers/pipelines/stable_diffusion/pipeline_stable_diffusion_controlnet.py
      Co-authored-by: default avatardqueue <dbyqin@gmail.com>
      
      * remove controlnet constructor arguments re: @patrickvonplaten
      
      * [integration tests] test canny
      
      * test_canny fixes
      
      * [integration tests] test_depth
      
      * [integration tests] test_hed
      
      * [integration tests] test_mlsd
      
      * add channel order config to controlnet
      
      * [integration tests] test normal
      
      * [integration tests] test_openpose test_scribble
      
      * change height and width to default to conditioning image
      
      * [integration tests] test seg
      
      * style
      
      * test_depth fix
      
      * [integration tests] size fixes
      
      * [integration tests] cpu offloading
      
      * style
      
      * generalize controlnet embedding
      
      * fix conversion script
      
      * Update docs/source/en/api/pipelines/stable_diffusion/controlnet.mdx
      Co-authored-by: default avatarSayak Paul <spsayakpaul@gmail.com>
      
      * Update docs/source/en/api/pipelines/stable_diffusion/controlnet.mdx
      Co-authored-by: default avatarSayak Paul <spsayakpaul@gmail.com>
      
      * Update docs/source/en/api/pipelines/stable_diffusion/controlnet.mdx
      Co-authored-by: default avatarSayak Paul <spsayakpaul@gmail.com>
      
      * Update docs/source/en/api/pipelines/stable_diffusion/controlnet.mdx
      Co-authored-by: default avatarSayak Paul <spsayakpaul@gmail.com>
      
      * Style adapted to the documentation of pix2pix
      
      * merge main by hand
      
      * style
      
      * [docs] controlling generation doc nits
      
      * correct some things
      
      * add: controlnetmodel to autodoc.
      
      * finish docs
      
      * finish
      
      * finish 2
      
      * correct images
      
      * finish controlnet
      
      * Apply suggestions from code review
      Co-authored-by: default avatarPedro Cuenca <pedro@huggingface.co>
      
      * uP
      
      * upload model
      
      * up
      
      * up
      
      ---------
      Co-authored-by: default avatarWilliam Berman <WLBberman@gmail.com>
      Co-authored-by: default avatarPedro Cuenca <pedro@huggingface.co>
      Co-authored-by: default avatardqueue <dbyqin@gmail.com>
      Co-authored-by: default avatarSayak Paul <spsayakpaul@gmail.com>
      Co-authored-by: default avatarPatrick von Platen <patrick.v.platen@gmail.com>
      8dfff7c0
  18. 01 Mar, 2023 4 commits
  19. 28 Feb, 2023 1 commit