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  1. 15 Dec, 2024 1 commit
    • Junsong Chen's avatar
      [Sana] Add Sana, including `SanaPipeline`, `SanaPAGPipeline`,... · 5a196e3d
      Junsong Chen authored
      
      [Sana] Add Sana, including `SanaPipeline`, `SanaPAGPipeline`, `LinearAttentionProcessor`, `Flow-based DPM-sovler` and so on. (#9982)
      
      * first add a script for DC-AE;
      
      * DC-AE init
      
      * replace triton with custom implementation
      
      * 1. rename file and remove un-used codes;
      
      * no longer rely on omegaconf and dataclass
      
      * replace custom activation with diffuers activation
      
      * remove dc_ae attention in attention_processor.py
      
      * iinherit from ModelMixin
      
      * inherit from ConfigMixin
      
      * dc-ae reduce to one file
      
      * update downsample and upsample
      
      * clean code
      
      * support DecoderOutput
      
      * remove get_same_padding and val2tuple
      
      * remove autocast and some assert
      
      * update ResBlock
      
      * remove contents within super().__init__
      
      * Update src/diffusers/models/autoencoders/dc_ae.py
      Co-authored-by: default avatarYiYi Xu <yixu310@gmail.com>
      
      * remove opsequential
      
      * update other blocks to support the removal of build_norm
      
      * remove build encoder/decoder project in/out
      
      * remove inheritance of RMSNorm2d from LayerNorm
      
      * remove reset_parameters for RMSNorm2d
      Co-authored-by: default avatarYiYi Xu <yixu310@gmail.com>
      
      * remove device and dtype in RMSNorm2d __init__
      Co-authored-by: default avatarYiYi Xu <yixu310@gmail.com>
      
      * Update src/diffusers/models/autoencoders/dc_ae.py
      Co-authored-by: default avatarYiYi Xu <yixu310@gmail.com>
      
      * Update src/diffusers/models/autoencoders/dc_ae.py
      Co-authored-by: default avatarYiYi Xu <yixu310@gmail.com>
      
      * Update src/diffusers/models/autoencoders/dc_ae.py
      Co-authored-by: default avatarYiYi Xu <yixu310@gmail.com>
      
      * remove op_list & build_block
      
      * remove build_stage_main
      
      * change file name to autoencoder_dc
      
      * move LiteMLA to attention.py
      
      * align with other vae decode output;
      
      * add DC-AE into init files;
      
      * update
      
      * make quality && make style;
      
      * quick push before dgx disappears again
      
      * update
      
      * make style
      
      * update
      
      * update
      
      * fix
      
      * refactor
      
      * refactor
      
      * refactor
      
      * update
      
      * possibly change to nn.Linear
      
      * refactor
      
      * make fix-copies
      
      * replace vae with ae
      
      * replace get_block_from_block_type to get_block
      
      * replace downsample_block_type from Conv to conv for consistency
      
      * add scaling factors
      
      * incorporate changes for all checkpoints
      
      * make style
      
      * move mla to attention processor file; split qkv conv to linears
      
      * refactor
      
      * add tests
      
      * from original file loader
      
      * add docs
      
      * add standard autoencoder methods
      
      * combine attention processor
      
      * fix tests
      
      * update
      
      * minor fix
      
      * minor fix
      
      * minor fix & in/out shortcut rename
      
      * minor fix
      
      * make style
      
      * fix paper link
      
      * update docs
      
      * update single file loading
      
      * make style
      
      * remove single file loading support; todo for DN6
      
      * Apply suggestions from code review
      Co-authored-by: default avatarSteven Liu <59462357+stevhliu@users.noreply.github.com>
      
      * add abstract
      
      * 1. add DCAE into diffusers;
      2. make style and make quality;
      
      * add DCAE_HF into diffusers;
      
      * bug fixed;
      
      * add SanaPipeline, SanaTransformer2D into diffusers;
      
      * add sanaLinearAttnProcessor2_0;
      
      * first update for SanaTransformer;
      
      * first update for SanaPipeline;
      
      * first success run SanaPipeline;
      
      * model output finally match with original model with the same intput;
      
      * code update;
      
      * code update;
      
      * add a flow dpm-solver scripts
      
      * 🎉[important update]
      1. Integrate flow-dpm-sovler into diffusers;
      2. finally run successfully on both `FlowMatchEulerDiscreteScheduler` and `FlowDPMSolverMultistepScheduler`;
      
      * 🎉🔧
      
      [important update & fix huge bugs!!]
      1. add SanaPAGPipeline & several related Sana linear attention operators;
      2. `SanaTransformer2DModel` not supports multi-resolution input;
      2. fix the multi-scale HW bugs in SanaPipeline and SanaPAGPipeline;
      3. fix the flow-dpm-solver set_timestep() init `model_output` and `lower_order_nums` bugs;
      
      * remove prints;
      
      * add convert sana official checkpoint to diffusers format Safetensor.
      
      * Update src/diffusers/models/transformers/sana_transformer_2d.py
      Co-authored-by: default avatarSteven Liu <59462357+stevhliu@users.noreply.github.com>
      
      * Update src/diffusers/models/transformers/sana_transformer_2d.py
      Co-authored-by: default avatarSteven Liu <59462357+stevhliu@users.noreply.github.com>
      
      * Update src/diffusers/models/transformers/sana_transformer_2d.py
      Co-authored-by: default avatarSteven Liu <59462357+stevhliu@users.noreply.github.com>
      
      * Update src/diffusers/pipelines/pag/pipeline_pag_sana.py
      Co-authored-by: default avatarSteven Liu <59462357+stevhliu@users.noreply.github.com>
      
      * Update src/diffusers/models/transformers/sana_transformer_2d.py
      Co-authored-by: default avatarSteven Liu <59462357+stevhliu@users.noreply.github.com>
      
      * Update src/diffusers/models/transformers/sana_transformer_2d.py
      Co-authored-by: default avatarSteven Liu <59462357+stevhliu@users.noreply.github.com>
      
      * Update src/diffusers/pipelines/sana/pipeline_sana.py
      Co-authored-by: default avatarSteven Liu <59462357+stevhliu@users.noreply.github.com>
      
      * Update src/diffusers/pipelines/sana/pipeline_sana.py
      Co-authored-by: default avatarSteven Liu <59462357+stevhliu@users.noreply.github.com>
      
      * update Sana for DC-AE's recent commit;
      
      * make style && make quality
      
      * Add StableDiffusion3PAGImg2Img Pipeline + Fix SD3 Unconditional PAG (#9932)
      
      * fix progress bar updates in SD 1.5 PAG Img2Img pipeline
      
      ---------
      Co-authored-by: default avatarVinh H. Pham <phamvinh257@gmail.com>
      Co-authored-by: default avatarSayak Paul <spsayakpaul@gmail.com>
      
      * make the vae can be None in `__init__` of `SanaPipeline`
      
      * Update src/diffusers/models/transformers/sana_transformer_2d.py
      Co-authored-by: default avatarhlky <hlky@hlky.ac>
      
      * change the ae related code due to the latest update of DCAE branch;
      
      * change the ae related code due to the latest update of DCAE branch;
      
      * 1. change code based on AutoencoderDC;
      2. fix the bug of new GLUMBConv;
      3. run success;
      
      * update for solving conversation.
      
      * 1. fix bugs and run convert script success;
      2. Downloading ckpt from hub automatically;
      
      * make style && make quality;
      
      * 1. remove un-unsed parameters in init;
      2. code update;
      
      * remove test file
      
      * refactor; add docs; add tests; update conversion script
      
      * make style
      
      * make fix-copies
      
      * refactor
      
      * udpate pipelines
      
      * pag tests and refactor
      
      * remove sana pag conversion script
      
      * handle weight casting in conversion script
      
      * update conversion script
      
      * add a processor
      
      * 1. add bf16 pth file path;
      2. add complex human instruct in pipeline;
      
      * fix fast \tests
      
      * change gemma-2-2b-it ckpt to a non-gated repo;
      
      * fix the pth path bug in conversion script;
      
      * change grad ckpt to original; make style
      
      * fix the complex_human_instruct bug and typo;
      
      * remove dpmsolver flow scheduler
      
      * apply review suggestions
      
      * change the `FlowMatchEulerDiscreteScheduler` to default `DPMSolverMultistepScheduler` with flow matching scheduler.
      
      * fix the tokenizer.padding_side='right' bug;
      
      * update docs
      
      * make fix-copies
      
      * fix imports
      
      * fix docs
      
      * add integration test
      
      * update docs
      
      * update examples
      
      * fix convert_model_output in schedulers
      
      * fix failing tests
      
      ---------
      Co-authored-by: default avatarJunyu Chen <chenjydl2003@gmail.com>
      Co-authored-by: default avatarYiYi Xu <yixu310@gmail.com>
      Co-authored-by: default avatarSayak Paul <spsayakpaul@gmail.com>
      Co-authored-by: default avatarchenjy2003 <70215701+chenjy2003@users.noreply.github.com>
      Co-authored-by: default avatarAryan <aryan@huggingface.co>
      Co-authored-by: default avatarSteven Liu <59462357+stevhliu@users.noreply.github.com>
      Co-authored-by: default avatarhlky <hlky@hlky.ac>
      5a196e3d
  2. 12 Dec, 2024 1 commit
    • Aryan's avatar
      [core] LTX Video (#10021) · 96c376a5
      Aryan authored
      
      
      * transformer
      
      * make style & make fix-copies
      
      * transformer
      
      * add transformer tests
      
      * 80% vae
      
      * make style
      
      * make fix-copies
      
      * fix
      
      * undo cogvideox changes
      
      * update
      
      * update
      
      * match vae
      
      * add docs
      
      * t2v pipeline working; scheduler needs to be checked
      
      * docs
      
      * add pipeline test
      
      * update
      
      * update
      
      * make fix-copies
      
      * Apply suggestions from code review
      Co-authored-by: default avatarSteven Liu <59462357+stevhliu@users.noreply.github.com>
      
      * update
      
      * copy t2v to i2v pipeline
      
      * update
      
      * apply review suggestions
      
      * update
      
      * make style
      
      * remove framewise encoding/decoding
      
      * pack/unpack latents
      
      * image2video
      
      * update
      
      * make fix-copies
      
      * update
      
      * update
      
      * rope scale fix
      
      * debug layerwise code
      
      * remove debug
      
      * Apply suggestions from code review
      Co-authored-by: default avatarYiYi Xu <yixu310@gmail.com>
      
      * propagate precision changes to i2v pipeline
      
      * remove downcast
      
      * address review comments
      
      * fix comment
      
      * address review comments
      
      * [Single File] LTX support for loading original weights (#10135)
      
      * from original file mixin for ltx
      
      * undo config mapping fn changes
      
      * update
      
      * add single file to pipelines
      
      * update docs
      
      * Update src/diffusers/models/autoencoders/autoencoder_kl_ltx.py
      
      * Update src/diffusers/models/autoencoders/autoencoder_kl_ltx.py
      
      * rename classes based on ltx review
      
      * point to original repository for inference
      
      * make style
      
      * resolve conflicts correctly
      
      ---------
      Co-authored-by: default avatarSteven Liu <59462357+stevhliu@users.noreply.github.com>
      Co-authored-by: default avatarYiYi Xu <yixu310@gmail.com>
      96c376a5
  3. 11 Dec, 2024 1 commit
  4. 10 Dec, 2024 1 commit
  5. 06 Dec, 2024 1 commit
    • Junsong Chen's avatar
      [DC-AE] Add the official Deep Compression Autoencoder code(32x,64x,128x compression ratio); (#9708) · cd892041
      Junsong Chen authored
      
      
      * first add a script for DC-AE;
      
      * DC-AE init
      
      * replace triton with custom implementation
      
      * 1. rename file and remove un-used codes;
      
      * no longer rely on omegaconf and dataclass
      
      * replace custom activation with diffuers activation
      
      * remove dc_ae attention in attention_processor.py
      
      * iinherit from ModelMixin
      
      * inherit from ConfigMixin
      
      * dc-ae reduce to one file
      
      * update downsample and upsample
      
      * clean code
      
      * support DecoderOutput
      
      * remove get_same_padding and val2tuple
      
      * remove autocast and some assert
      
      * update ResBlock
      
      * remove contents within super().__init__
      
      * Update src/diffusers/models/autoencoders/dc_ae.py
      Co-authored-by: default avatarYiYi Xu <yixu310@gmail.com>
      
      * remove opsequential
      
      * update other blocks to support the removal of build_norm
      
      * remove build encoder/decoder project in/out
      
      * remove inheritance of RMSNorm2d from LayerNorm
      
      * remove reset_parameters for RMSNorm2d
      Co-authored-by: default avatarYiYi Xu <yixu310@gmail.com>
      
      * remove device and dtype in RMSNorm2d __init__
      Co-authored-by: default avatarYiYi Xu <yixu310@gmail.com>
      
      * Update src/diffusers/models/autoencoders/dc_ae.py
      Co-authored-by: default avatarYiYi Xu <yixu310@gmail.com>
      
      * Update src/diffusers/models/autoencoders/dc_ae.py
      Co-authored-by: default avatarYiYi Xu <yixu310@gmail.com>
      
      * Update src/diffusers/models/autoencoders/dc_ae.py
      Co-authored-by: default avatarYiYi Xu <yixu310@gmail.com>
      
      * remove op_list & build_block
      
      * remove build_stage_main
      
      * change file name to autoencoder_dc
      
      * move LiteMLA to attention.py
      
      * align with other vae decode output;
      
      * add DC-AE into init files;
      
      * update
      
      * make quality && make style;
      
      * quick push before dgx disappears again
      
      * update
      
      * make style
      
      * update
      
      * update
      
      * fix
      
      * refactor
      
      * refactor
      
      * refactor
      
      * update
      
      * possibly change to nn.Linear
      
      * refactor
      
      * make fix-copies
      
      * replace vae with ae
      
      * replace get_block_from_block_type to get_block
      
      * replace downsample_block_type from Conv to conv for consistency
      
      * add scaling factors
      
      * incorporate changes for all checkpoints
      
      * make style
      
      * move mla to attention processor file; split qkv conv to linears
      
      * refactor
      
      * add tests
      
      * from original file loader
      
      * add docs
      
      * add standard autoencoder methods
      
      * combine attention processor
      
      * fix tests
      
      * update
      
      * minor fix
      
      * minor fix
      
      * minor fix & in/out shortcut rename
      
      * minor fix
      
      * make style
      
      * fix paper link
      
      * update docs
      
      * update single file loading
      
      * make style
      
      * remove single file loading support; todo for DN6
      
      * Apply suggestions from code review
      Co-authored-by: default avatarSteven Liu <59462357+stevhliu@users.noreply.github.com>
      
      * add abstract
      
      ---------
      Co-authored-by: default avatarJunyu Chen <chenjydl2003@gmail.com>
      Co-authored-by: default avatarYiYi Xu <yixu310@gmail.com>
      Co-authored-by: default avatarchenjy2003 <70215701+chenjy2003@users.noreply.github.com>
      Co-authored-by: default avatarAryan <aryan@huggingface.co>
      Co-authored-by: default avatarSteven Liu <59462357+stevhliu@users.noreply.github.com>
      cd892041
  6. 03 Dec, 2024 2 commits
  7. 23 Nov, 2024 1 commit
  8. 20 Nov, 2024 1 commit
  9. 07 Nov, 2024 1 commit
    • Sayak Paul's avatar
      [Core] introduce `controlnet` module (#8768) · ded3db16
      Sayak Paul authored
      
      
      * move vae flax module.
      
      * controlnet module.
      
      * prepare for PR.
      
      * revert a commit
      
      * gracefully deprecate controlnet deps.
      
      * fix
      
      * fix doc path
      
      * fix-copies
      
      * fix path
      
      * style
      
      * style
      
      * conflicts
      
      * fix
      
      * fix-copies
      
      * sparsectrl.
      
      * updates
      
      * fix
      
      * updates
      
      * updates
      
      * updates
      
      * fix
      
      ---------
      Co-authored-by: default avatarDhruv Nair <dhruv.nair@gmail.com>
      ded3db16
  10. 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
  11. 29 Oct, 2024 1 commit
  12. 22 Oct, 2024 1 commit
  13. 21 Oct, 2024 1 commit
    • Sayak Paul's avatar
      [Quantization] Add quantization support for `bitsandbytes` (#9213) · b821f006
      Sayak Paul authored
      * quantization config.
      
      * fix-copies
      
      * fix
      
      * modules_to_not_convert
      
      * add bitsandbytes utilities.
      
      * make progress.
      
      * fixes
      
      * quality
      
      * up
      
      * up
      
      rotary embedding refactor 2: update comments, fix dtype for use_real=False (#9312)
      
      fix notes and dtype
      
      up
      
      up
      
      * minor
      
      * up
      
      * up
      
      * fix
      
      * provide credits where due.
      
      * make configurations work.
      
      * fixes
      
      * fix
      
      * update_missing_keys
      
      * fix
      
      * fix
      
      * make it work.
      
      * fix
      
      * provide credits to transformers.
      
      * empty commit
      
      * handle to() better.
      
      * tests
      
      * change to bnb from bitsandbytes
      
      * fix tests
      
      fix slow quality tests
      
      SD3 remark
      
      fix
      
      complete int4 tests
      
      add a readme to the test files.
      
      add model cpu offload tests
      
      warning test
      
      * better safeguard.
      
      * change merging status
      
      * courtesy to transformers.
      
      * move  upper.
      
      * better
      
      * make the unused kwargs warning friendlier.
      
      * harmonize changes with https://github.com/huggingface/transformers/pull/33122
      
      
      
      * style
      
      * trainin tests
      
      * feedback part i.
      
      * Add Flux inpainting and Flux Img2Img (#9135)
      
      ---------
      Co-authored-by: default avataryiyixuxu <yixu310@gmail.com>
      
      Update `UNet2DConditionModel`'s error messages (#9230)
      
      * refactor
      
      [CI] Update Single file Nightly Tests (#9357)
      
      * update
      
      * update
      
      feedback.
      
      improve README for flux dreambooth lora (#9290)
      
      * improve readme
      
      * improve readme
      
      * improve readme
      
      * improve readme
      
      fix one uncaught deprecation warning for accessing vae_latent_channels in VaeImagePreprocessor (#9372)
      
      deprecation warning vae_latent_channels
      
      add mixed int8 tests and more tests to nf4.
      
      [core] Freenoise memory improvements (#9262)
      
      * update
      
      * implement prompt interpolation
      
      * make style
      
      * resnet memory optimizations
      
      * more memory optimizations; todo: refactor
      
      * update
      
      * update animatediff controlnet with latest changes
      
      * refactor chunked inference changes
      
      * remove print statements
      
      * update
      
      * chunk -> split
      
      * remove changes from incorrect conflict resolution
      
      * remove changes from incorrect conflict resolution
      
      * add explanation of SplitInferenceModule
      
      * update docs
      
      * Revert "update docs"
      
      This reverts commit c55a50a271b2cefa8fe340a4f2a3ab9b9d374ec0.
      
      * update docstring for freenoise split inference
      
      * apply suggestions from review
      
      * add tests
      
      * apply suggestions from review
      
      quantization docs.
      
      docs.
      
      * Revert "Add Flux inpainting and Flux Img2Img (#9135)"
      
      This reverts commit 5799954dd4b3d753c7c1b8d722941350fe4f62ca.
      
      * tests
      
      * don
      
      * Apply suggestions from code review
      Co-authored-by: default avatarSteven Liu <59462357+stevhliu@users.noreply.github.com>
      
      * contribution guide.
      
      * changes
      
      * empty
      
      * fix tests
      
      * harmonize with https://github.com/huggingface/transformers/pull/33546
      
      .
      
      * numpy_cosine_distance
      
      * config_dict modification.
      
      * remove if config comment.
      
      * note for load_state_dict changes.
      
      * float8 check.
      
      * quantizer.
      
      * raise an error for non-True low_cpu_mem_usage values when using quant.
      
      * low_cpu_mem_usage shenanigans when using fp32 modules.
      
      * don't re-assign _pre_quantization_type.
      
      * make comments clear.
      
      * remove comments.
      
      * handle mixed types better when moving to cpu.
      
      * add tests to check if we're throwing warning rightly.
      
      * better check.
      
      * fix 8bit test_quality.
      
      * handle dtype more robustly.
      
      * better message when keep_in_fp32_modules.
      
      * handle dtype casting.
      
      * fix dtype checks in pipeline.
      
      * fix warning message.
      
      * Update src/diffusers/models/modeling_utils.py
      Co-authored-by: default avatarYiYi Xu <yixu310@gmail.com>
      
      * mitigate the confusing cpu warning
      
      ---------
      Co-authored-by: default avatarVishnu V Jaddipal <95531133+Gothos@users.noreply.github.com>
      Co-authored-by: default avatarSteven Liu <59462357+stevhliu@users.noreply.github.com>
      Co-authored-by: default avatarYiYi Xu <yixu310@gmail.com>
      b821f006
  14. 16 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. 09 Oct, 2024 1 commit
  17. 01 Oct, 2024 1 commit
  18. 17 Sep, 2024 1 commit
  19. 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
  20. 09 Sep, 2024 1 commit
    • Igor Filippov's avatar
      [Pipeline] animatediff + vid2vid + controlnet (#9337) · a7361dcc
      Igor Filippov authored
      * add animatediff + vid2vide + controlnet
      
      * post tests fixes
      
      * PR discussion fixes
      
      * update docs
      
      * change input video to links on HF + update an example
      
      * make quality fix
      
      * fix ip adapter test
      
      * fix ip adapter test input
      
      * update ip adapter test
      a7361dcc
  21. 04 Sep, 2024 1 commit
  22. 02 Sep, 2024 1 commit
    • Aryan's avatar
      [core] Support VideoToVideo with CogVideoX (#9333) · 0e6a8403
      Aryan authored
      * add vid2vid pipeline for cogvideox
      
      * make fix-copies
      
      * update docs
      
      * fake context parallel cache, vae encode tiling
      
      * add test for cog vid2vid
      
      * use video link from HF docs repo
      
      * add copied from comments; correctly rename test class
      0e6a8403
  23. 27 Aug, 2024 1 commit
  24. 25 Aug, 2024 1 commit
  25. 21 Aug, 2024 1 commit
  26. 14 Aug, 2024 1 commit
  27. 13 Aug, 2024 2 commits
  28. 07 Aug, 2024 2 commits
  29. 06 Aug, 2024 1 commit
  30. 05 Aug, 2024 2 commits
    • YiYi Xu's avatar
      add sentencepiece as a soft dependency (#9065) · bc3c73ad
      YiYi Xu authored
      
      
      * add sentencepiece as  soft dependency for kolors
      
      * up
      
      ---------
      Co-authored-by: default avatarSayak Paul <spsayakpaul@gmail.com>
      bc3c73ad
    • Aryan's avatar
      PAG variant for HunyuanDiT, PAG refactor (#8936) · b7058d14
      Aryan authored
      
      
      * copy hunyuandit pipeline
      
      * pag variant of hunyuan dit
      
      * add tests
      
      * update docs
      
      * make style
      
      * make fix-copies
      
      * Update src/diffusers/pipelines/pag/pag_utils.py
      
      * remove incorrect copied from
      
      * remove pag hunyuan attn procs to resolve conflicts
      
      * add pag attn procs again
      
      * new implementation for pag_utils
      
      * revert pag changes
      
      * add pag refactor back; update pixart sigma
      
      * update pixart pag tests
      
      * apply suggestions from review
      
      Co-Authored-By: yixu310@gmail.com
      
      * make style
      
      * update docs, fix tests
      
      * fix tests
      
      * fix test_components_function since list not accepted as valid __init__ param
      
      * apply patch to fix broken tests
      Co-Authored-By: default avatarSayak Paul <spsayakpaul@gmail.com>
      
      * make style
      
      * fix hunyuan tests
      
      ---------
      Co-authored-by: default avatarSayak Paul <spsayakpaul@gmail.com>
      b7058d14
  31. 02 Aug, 2024 1 commit
    • Sayak Paul's avatar
      [Core] Add PAG support for PixArtSigma (#8921) · 7b98c4cc
      Sayak Paul authored
      * feat: add pixart sigma pag.
      
      * inits.
      
      * fixes
      
      * fix
      
      * remove print.
      
      * copy paste methods to the pixart pag mixin
      
      * fix-copies
      
      * add documentation.
      
      * add tests.
      
      * remove correction file.
      
      * remove pag_applied_layers
      
      * empty
      7b98c4cc
  32. 01 Aug, 2024 2 commits
  33. 30 Jul, 2024 2 commits
    • Aryan's avatar
      [core] Move community AnimateDiff ControlNet to core (#8972) · e5b94b4c
      Aryan authored
      
      
      * add animatediff controlnet to core
      
      * make style; remove unused method
      
      * fix copied from comment
      
      * add tests
      
      * changes to make tests work
      
      * add utility function to load videos
      
      * update docs
      
      * update pipeline example
      
      * make style
      
      * update docs with example
      
      * address review comments
      
      * add latest freeinit test from #8969
      
      * LoraLoaderMixin -> StableDiffusionLoraLoaderMixin
      
      * fix docs
      
      * Update src/diffusers/utils/loading_utils.py
      Co-authored-by: default avatarDhruv Nair <dhruv.nair@gmail.com>
      
      * fix: variable out of scope
      
      ---------
      Co-authored-by: default avatarDhruv Nair <dhruv.nair@gmail.com>
      e5b94b4c
    • 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
  34. 26 Jul, 2024 1 commit
    • Aryan's avatar
      [core] AnimateDiff SparseCtrl (#8897) · 5c53ca5e
      Aryan authored
      * initial sparse control model draft
      
      * remove unnecessary implementation
      
      * copy animatediff pipeline
      
      * remove deprecated callbacks
      
      * update
      
      * update pipeline implementation progress
      
      * make style
      
      * make fix-copies
      
      * update progress
      
      * add partially working pipeline
      
      * remove debug prints
      
      * add model docs
      
      * dummy objects
      
      * improve motion lora conversion script
      
      * fix bugs
      
      * update docstrings
      
      * remove unnecessary model params; docs
      
      * address review comment
      
      * add copied from to zero_module
      
      * copy animatediff test
      
      * add fast tests
      
      * update docs
      
      * update
      
      * update pipeline docs
      
      * fix expected slice values
      
      * fix license
      
      * remove get_down_block usage
      
      * remove temporal_double_self_attention from get_down_block
      
      * update
      
      * update docs with org and documentation images
      
      * make from_unet work in sparsecontrolnetmodel
      
      * add latest freeinit test from #8969
      
      * make fix-copies
      
      * LoraLoaderMixin -> StableDiffsuionLoraLoaderMixin
      5c53ca5e