1. 22 Jan, 2025 1 commit
    • Aryan's avatar
      [core] Layerwise Upcasting (#10347) · beacaa55
      Aryan authored
      
      
      * update
      
      * update
      
      * make style
      
      * remove dynamo disable
      
      * add coauthor
      Co-Authored-By: default avatarDhruv Nair <dhruv.nair@gmail.com>
      
      * update
      
      * update
      
      * update
      
      * update mixin
      
      * add some basic tests
      
      * update
      
      * update
      
      * non_blocking
      
      * improvements
      
      * update
      
      * norm.* -> norm
      
      * apply suggestions from review
      
      * add example
      
      * update hook implementation to the latest changes from pyramid attention broadcast
      
      * deinitialize should raise an error
      
      * update doc page
      
      * Apply suggestions from code review
      Co-authored-by: default avatarSteven Liu <59462357+stevhliu@users.noreply.github.com>
      
      * update docs
      
      * update
      
      * refactor
      
      * fix _always_upcast_modules for asym ae and vq_model
      
      * fix lumina embedding forward to not depend on weight dtype
      
      * refactor tests
      
      * add simple lora inference tests
      
      * _always_upcast_modules -> _precision_sensitive_module_patterns
      
      * remove todo comments about review; revert changes to self.dtype in unets because .dtype on ModelMixin should be able to handle fp8 weight case
      
      * check layer dtypes in lora test
      
      * fix UNet1DModelTests::test_layerwise_upcasting_inference
      
      * _precision_sensitive_module_patterns -> _skip_layerwise_casting_patterns based on feedback
      
      * skip test in NCSNppModelTests
      
      * skip tests for AutoencoderTinyTests
      
      * skip tests for AutoencoderOobleckTests
      
      * skip tests for UNet1DModelTests - unsupported pytorch operations
      
      * layerwise_upcasting -> layerwise_casting
      
      * skip tests for UNetRLModelTests; needs next pytorch release for currently unimplemented operation support
      
      * add layerwise fp8 pipeline test
      
      * use xfail
      
      * Apply suggestions from code review
      Co-authored-by: default avatarDhruv Nair <dhruv.nair@gmail.com>
      
      * add assertion with fp32 comparison; add tolerance to fp8-fp32 vs fp32-fp32 comparison (required for a few models' test to pass)
      
      * add note about memory consumption on tesla CI runner for failing test
      
      ---------
      Co-authored-by: default avatarDhruv Nair <dhruv.nair@gmail.com>
      Co-authored-by: default avatarSteven Liu <59462357+stevhliu@users.noreply.github.com>
      beacaa55
  2. 02 Jan, 2025 1 commit
  3. 23 Dec, 2024 1 commit
  4. 21 Dec, 2024 1 commit
    • hlky's avatar
      Support Flux IP Adapter (#10261) · be207099
      hlky authored
      
      
      * Flux IP-Adapter
      
      * test cfg
      
      * make style
      
      * temp remove copied from
      
      * fix test
      
      * fix test
      
      * v2
      
      * fix
      
      * make style
      
      * temp remove copied from
      
      * Apply suggestions from code review
      Co-authored-by: default avatarYiYi Xu <yixu310@gmail.com>
      
      * Move encoder_hid_proj to inside FluxTransformer2DModel
      
      * merge
      
      * separate encode_prompt, add copied from, image_encoder offload
      
      * make
      
      * fix test
      
      * fix
      
      * Update src/diffusers/pipelines/flux/pipeline_flux.py
      
      * test_flux_prompt_embeds change not needed
      
      * true_cfg -> true_cfg_scale
      
      * fix merge conflict
      
      * test_flux_ip_adapter_inference
      
      * add fast test
      
      * FluxIPAdapterMixin not test mixin
      
      * Update pipeline_flux.py
      Co-authored-by: default avatarYiYi Xu <yixu310@gmail.com>
      
      ---------
      Co-authored-by: default avatarYiYi Xu <yixu310@gmail.com>
      be207099
  5. 20 Dec, 2024 1 commit
  6. 18 Dec, 2024 2 commits
  7. 17 Dec, 2024 1 commit
    • Dhruv Nair's avatar
      Fix Mochi Quality Issues (#10033) · 128b96f3
      Dhruv Nair authored
      
      
      * update
      
      * update
      
      * update
      
      * update
      
      * update
      
      * update
      
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      * update
      
      * update
      
      * update
      
      * update
      
      * Update src/diffusers/models/transformers/transformer_mochi.py
      Co-authored-by: default avatarAryan <aryan@huggingface.co>
      
      ---------
      Co-authored-by: default avatarSayak Paul <spsayakpaul@gmail.com>
      Co-authored-by: default avatarAryan <aryan@huggingface.co>
      128b96f3
  8. 13 Dec, 2024 1 commit
  9. 10 Dec, 2024 1 commit
  10. 05 Dec, 2024 1 commit
  11. 03 Dec, 2024 1 commit
  12. 18 Nov, 2024 1 commit
  13. 05 Nov, 2024 1 commit
    • Aryan's avatar
      [core] Mochi T2V (#9769) · 3f329a42
      Aryan authored
      
      
      * update
      
      * udpate
      
      * update transformer
      
      * make style
      
      * fix
      
      * add conversion script
      
      * update
      
      * fix
      
      * update
      
      * fix
      
      * update
      
      * fixes
      
      * make style
      
      * update
      
      * update
      
      * update
      
      * init
      
      * update
      
      * update
      
      * add
      
      * up
      
      * up
      
      * up
      
      * update
      
      * mochi transformer
      
      * remove original implementation
      
      * make style
      
      * update inits
      
      * update conversion script
      
      * docs
      
      * Update src/diffusers/pipelines/mochi/pipeline_mochi.py
      Co-authored-by: default avatarDhruv Nair <dhruv.nair@gmail.com>
      
      * Update src/diffusers/pipelines/mochi/pipeline_mochi.py
      Co-authored-by: default avatarDhruv Nair <dhruv.nair@gmail.com>
      
      * fix docs
      
      * pipeline fixes
      
      * make style
      
      * invert sigmas in scheduler; fix pipeline
      
      * fix pipeline num_frames
      
      * flip proj and gate in swiglu
      
      * make style
      
      * fix
      
      * make style
      
      * fix tests
      
      * latent mean and std fix
      
      * update
      
      * cherry-pick 1069d210e1b9e84a366cdc7a13965626ea258178
      
      * remove additional sigma already handled by flow match scheduler
      
      * fix
      
      * remove hardcoded value
      
      * replace conv1x1 with linear
      
      * Update src/diffusers/pipelines/mochi/pipeline_mochi.py
      Co-authored-by: default avatarDhruv Nair <dhruv.nair@gmail.com>
      
      * framewise decoding and conv_cache
      
      * make style
      
      * Apply suggestions from code review
      
      * mochi vae encoder changes
      
      * rebase correctly
      
      * Update scripts/convert_mochi_to_diffusers.py
      
      * fix tests
      
      * fixes
      
      * make style
      
      * update
      
      * make style
      
      * update
      
      * add framewise and tiled encoding
      
      * make style
      
      * make original vae implementation behaviour the default; note: framewise encoding does not work
      
      * remove framewise encoding implementation due to presence of attn layers
      
      * fight test 1
      
      * fight test 2
      
      ---------
      Co-authored-by: default avatarDhruv Nair <dhruv.nair@gmail.com>
      Co-authored-by: default avataryiyixuxu <yixu310@gmail.com>
      3f329a42
  14. 29 Oct, 2024 1 commit
  15. 14 Oct, 2024 1 commit
    • Yuxuan.Zhang's avatar
      CogView3Plus DiT (#9570) · 8d81564b
      Yuxuan.Zhang authored
      * merge 9588
      
      * max_shard_size="5GB" for colab running
      
      * conversion script updates; modeling test; refactor transformer
      
      * make fix-copies
      
      * Update convert_cogview3_to_diffusers.py
      
      * initial pipeline draft
      
      * make style
      
      * fight bugs 🐛
      
      🪳
      
      * add example
      
      * add tests; refactor
      
      * make style
      
      * make fix-copies
      
      * add co-author
      
      YiYi Xu <yixu310@gmail.com>
      
      * remove files
      
      * add docs
      
      * add co-author
      Co-Authored-By: default avatarYiYi Xu <yixu310@gmail.com>
      
      * fight docs
      
      * address reviews
      
      * make style
      
      * make model work
      
      * remove qkv fusion
      
      * remove qkv fusion tets
      
      * address review comments
      
      * fix make fix-copies error
      
      * remove None and TODO
      
      * for FP16(draft)
      
      * make style
      
      * remove dynamic cfg
      
      * remove pooled_projection_dim as a parameter
      
      * fix tests
      
      ---------
      Co-authored-by: default avatarAryan <aryan@huggingface.co>
      Co-authored-by: default avatarYiYi Xu <yixu310@gmail.com>
      8d81564b
  16. 16 Sep, 2024 1 commit
    • Yuxuan.Zhang's avatar
      CogVideoX-5b-I2V support (#9418) · 8336405e
      Yuxuan.Zhang authored
      
      
      * draft Init
      
      * draft
      
      * vae encode image
      
      * make style
      
      * image latents preparation
      
      * remove image encoder from conversion script
      
      * fix minor bugs
      
      * make pipeline work
      
      * make style
      
      * remove debug prints
      
      * fix imports
      
      * update example
      
      * make fix-copies
      
      * add fast tests
      
      * fix import
      
      * update vae
      
      * update docs
      
      * update image link
      
      * apply suggestions from review
      
      * apply suggestions from review
      
      * add slow test
      
      * make use of learned positional embeddings
      
      * apply suggestions from review
      
      * doc change
      
      * Update convert_cogvideox_to_diffusers.py
      
      * make style
      
      * final changes
      
      * make style
      
      * fix tests
      
      ---------
      Co-authored-by: default avatarAryan <aryan@huggingface.co>
      8336405e
  17. 11 Sep, 2024 1 commit
  18. 03 Sep, 2024 2 commits
  19. 29 Aug, 2024 2 commits
  20. 25 Aug, 2024 1 commit
  21. 23 Aug, 2024 1 commit
  22. 21 Aug, 2024 1 commit
  23. 07 Aug, 2024 1 commit
  24. 03 Aug, 2024 1 commit
  25. 01 Aug, 2024 1 commit
  26. 30 Jul, 2024 1 commit
    • Yoach Lacombe's avatar
      Stable Audio integration (#8716) · 69e72b1d
      Yoach Lacombe authored
      
      
      * WIP modeling code and pipeline
      
      * add custom attention processor + custom activation + add to init
      
      * correct ProjectionModel forward
      
      * add stable audio to __initèè
      
      * add autoencoder and update pipeline and modeling code
      
      * add half Rope
      
      * add partial rotary v2
      
      * add temporary modfis to scheduler
      
      * add EDM DPM Solver
      
      * remove TODOs
      
      * clean GLU
      
      * remove att.group_norm to attn processor
      
      * revert back src/diffusers/schedulers/scheduling_dpmsolver_multistep.py
      
      * refactor GLU -> SwiGLU
      
      * remove redundant args
      
      * add channel multiples in autoencoder docstrings
      
      * changes in docsrtings and copyright headers
      
      * clean pipeline
      
      * further cleaning
      
      * remove peft and lora and fromoriginalmodel
      
      * Delete src/diffusers/pipelines/stable_audio/diffusers.code-workspace
      
      * make style
      
      * dummy models
      
      * fix copied from
      
      * add fast oobleck tests
      
      * add brownian tree
      
      * oobleck autoencoder slow tests
      
      * remove TODO
      
      * fast stable audio pipeline tests
      
      * add slow tests
      
      * make style
      
      * add first version of docs
      
      * wrap is_torchsde_available to the scheduler
      
      * fix slow test
      
      * test with input waveform
      
      * add input waveform
      
      * remove some todos
      
      * create stableaudio gaussian projection + make style
      
      * add pipeline to toctree
      
      * fix copied from
      
      * make quality
      
      * refactor timestep_features->time_proj
      
      * refactor joint_attention_kwargs->cross_attention_kwargs
      
      * remove forward_chunk
      
      * move StableAudioDitModel to transformers folder
      
      * correct convert + remove partial rotary embed
      
      * apply suggestions from yiyixuxu -> removing attn.kv_heads
      
      * remove temb
      
      * remove cross_attention_kwargs
      
      * further removal of cross_attention_kwargs
      
      * remove text encoder autocast to fp16
      
      * continue removing autocast
      
      * make style
      
      * refactor how text and audio are embedded
      
      * add paper
      
      * update example code
      
      * make style
      
      * unify projection model forward + fix device placement
      
      * make style
      
      * remove fuse qkv
      
      * apply suggestions from review
      
      * Update src/diffusers/pipelines/stable_audio/pipeline_stable_audio.py
      Co-authored-by: default avatarYiYi Xu <yixu310@gmail.com>
      
      * make style
      
      * smaller models in fast tests
      
      * pass sequential offloading fast tests
      
      * add docs for vae and autoencoder
      
      * make style and update example
      
      * remove useless import
      
      * add cosine scheduler
      
      * dummy classes
      
      * cosine scheduler docs
      
      * better description of scheduler
      
      ---------
      Co-authored-by: default avatarYiYi Xu <yixu310@gmail.com>
      69e72b1d
  27. 20 Jul, 2024 1 commit
  28. 11 Jul, 2024 2 commits
  29. 08 Jul, 2024 1 commit
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  36. 29 May, 2024 1 commit