1. 10 Apr, 2023 1 commit
  2. 30 Mar, 2023 1 commit
  3. 28 Mar, 2023 2 commits
  4. 27 Mar, 2023 2 commits
  5. 23 Mar, 2023 4 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
    • 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
    • Patrick von Platen's avatar
      [UNet3DModel] Fix with attn processor (#2790) · a8315ce1
      Patrick von Platen authored
      * [UNet3DModel] Fix attn processor
      
      * make style
      a8315ce1
  6. 22 Mar, 2023 1 commit
    • 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
  7. 21 Mar, 2023 1 commit
  8. 17 Mar, 2023 1 commit
  9. 16 Mar, 2023 2 commits
  10. 15 Mar, 2023 3 commits
  11. 14 Mar, 2023 2 commits
  12. 13 Mar, 2023 2 commits
  13. 10 Mar, 2023 1 commit
  14. 09 Mar, 2023 1 commit
  15. 07 Mar, 2023 1 commit
  16. 06 Mar, 2023 1 commit
  17. 03 Mar, 2023 1 commit
  18. 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
  19. 01 Mar, 2023 2 commits
  20. 27 Feb, 2023 1 commit
  21. 17 Feb, 2023 2 commits
  22. 16 Feb, 2023 3 commits
  23. 14 Feb, 2023 2 commits
  24. 13 Feb, 2023 1 commit