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  1. 10 Jul, 2025 1 commit
  3. 02 Jul, 2025 1 commit
  5. 20 Jun, 2025 1 commit
  7. 16 Jun, 2025 1 commit
    • David Berenstein's avatar
      Add Pruna optimization framework documentation (#11688) · 9b834f87
      David Berenstein authored 
      

* Add Pruna optimization framework documentation

- Introduced a new section for Pruna in the table of contents.
- Added comprehensive documentation for Pruna, detailing its optimization techniques, installation instructions, and examples for optimizing and evaluating models

* Enhance Pruna documentation with image alt text and code block formatting

- Added alt text to images for better accessibility and context.
- Changed code block syntax from diff to python for improved clarity.

* Add installation section to Pruna documentation

- Introduced a new installation section in the Pruna documentation to guide users on how to install the framework.
- Enhanced the overall clarity and usability of the documentation for new users.

* Update pruna.md

* Update pruna.md

* Update Pruna documentation for model optimization and evaluation

- Changed section titles for consistency and clarity, from "Optimizing models" to "Optimize models" and "Evaluating and benchmarking optimized models" to "Evaluate and benchmark models".
- Enhanced descriptions to clarify the use of `diffusers` models and the evaluation process.
- Added a new example for evaluating standalone `diffusers` models.
- Updated references and links for better navigation within the documentation.

* Refactor Pruna documentation for clarity and consistency

- Removed outdated references to FLUX-juiced and streamlined the explanation of benchmarking.
- Enhanced the description of evaluating standalone `diffusers` models.
- Cleaned up code examples by removing unnecessary imports and comments for better readability.

* Apply suggestions from code review
Co-authored-by: default avatarSteven Liu <59462357+stevhliu@users.noreply.github.com>

* Enhance Pruna documentation with new examples and clarifications

- Added an image to illustrate the optimization process.
- Updated the explanation for sharing and loading optimized models on the Hugging Face Hub.
- Clarified the evaluation process for optimized models using the EvaluationAgent.
- Improved descriptions for defining metrics and evaluating standalone diffusers models.

---------
Co-authored-by: default avatarSteven Liu <59462357+stevhliu@users.noreply.github.com>
      9b834f87
  9. 14 Jun, 2025 1 commit
    • Edna's avatar
      Chroma Pipeline (#11698) · 8adc6003
      Edna authored 
      

* working state from hameerabbasi and iddl

* working state form hameerabbasi and iddl (transformer)

* working state (normalization)

* working state (embeddings)

* add chroma loader

* add chroma to mappings

* add chroma to transformer init

* take out variant stuff

* get decently far in changing variant stuff

* add chroma init

* make chroma output class

* add chroma transformer to dummy tp

* add chroma to init

* add chroma to init

* fix single file

* update

* update

* add chroma to auto pipeline

* add chroma to pipeline init

* change to chroma transformer

* take out variant from blocks

* swap embedder location

* remove prompt_2

* work on swapping text encoders

* remove mask function

* dont modify mask (for now)

* wrap attn mask

* no attn mask (can't get it to work)

* remove pooled prompt embeds

* change to my own unpooled embeddeer

* fix load

* take pooled projections out of transformer

* ensure correct dtype for chroma embeddings

* update

* use dn6 attn mask + fix true_cfg_scale

* use chroma pipeline output

* use DN6 embeddings

* remove guidance

* remove guidance embed (pipeline)

* remove guidance from embeddings

* don't return length

* dont change dtype

* remove unused stuff, fix up docs

* add chroma autodoc

* add .md (oops)

* initial chroma docs

* undo don't change dtype

* undo arxiv change

unsure why that happened

* fix hf papers regression in more places

* Update docs/source/en/api/pipelines/chroma.md
Co-authored-by: default avatarDhruv Nair <dhruv.nair@gmail.com>

* do_cfg -> self.do_classifier_free_guidance

* Update docs/source/en/api/models/chroma_transformer.md
Co-authored-by: default avatarDhruv Nair <dhruv.nair@gmail.com>

* Update chroma.md

* Move chroma layers into transformer

* Remove pruned AdaLayerNorms

* Add chroma fast tests

* (untested) batch cond and uncond

* Add # Copied from for shift

* Update # Copied from statements

* update norm imports

* Revert cond + uncond batching

* Add transformer tests

* move chroma test (oops)

* chroma init

* fix chroma pipeline fast tests

* Update src/diffusers/models/transformers/transformer_chroma.py
Co-authored-by: default avatarDhruv Nair <dhruv.nair@gmail.com>

* Move Approximator and Embeddings

* Fix auto pipeline + make style, quality

* make style

* Apply style fixes

* switch to new input ids

* fix # Copied from error

* remove # Copied from on protected members

* try to fix import

* fix import

* make fix-copes

* revert style fix

* update chroma transformer params

* update chroma transformer approximator init params

* update to pad tokens

* fix batch inference

* Make more pipeline tests work

* Make most transformer tests work

* fix docs

* make style, make quality

* skip batch tests

* fix test skipping

* fix test skipping again

* fix for tests

* Fix all pipeline test

* update

* push local changes, fix docs

* add encoder test, remove pooled dim

* default proj dim

* fix tests

* fix equal size list input

* update

* push local changes, fix docs

* add encoder test, remove pooled dim

* default proj dim

* fix tests

* fix equal size list input

* Revert "fix equal size list input"

This reverts commit 3fe4ad67d58d83715bc238f8654f5e90bfc5653c.

* update

* update

* update

* update

* update

---------
Co-authored-by: default avatarDhruv Nair <dhruv.nair@gmail.com>
Co-authored-by: default avatargithub-actions[bot] <github-actions[bot]@users.noreply.github.com>
      8adc6003
  11. 02 Jun, 2025 2 commits
  13. 28 May, 2025 1 commit
  15. 23 May, 2025 1 commit
  17. 20 May, 2025 1 commit
  19. 12 May, 2025 2 commits
    • Zhong-Yu Li's avatar
      Add VisualCloze (#11377) · 4f438de3
      Zhong-Yu Li authored 
      * VisualCloze

* style quality

* add docs

* add docs

* typo

* Update docs/source/en/api/pipelines/visualcloze.md

* delete einops

* style quality

* Update src/diffusers/pipelines/visualcloze/pipeline_visualcloze.py

* reorg

* refine doc

* style quality

* typo

* typo

* Update src/diffusers/image_processor.py

* add comment

* test

* style

* Modified based on review

* style

* restore image_processor

* update example url

* style

* fix-copies

* VisualClozeGenerationPipeline

* combine

* tests docs

* remove VisualClozeUpsamplingPipeline

* style

* quality

* test examples

* quality style

* typo

* make fix-copies

* fix test_callback_cfg and test_save_load_dduf in VisualClozePipelineFastTests

* add EXAMPLE_DOC_STRING to VisualClozeGenerationPipeline

* delete maybe_free_model_hooks from pipeline_visualcloze_combined

* Apply suggestions from code review

* fix test_save_load_local test; add reason for skipping cfg test

* more save_load test fixes

* fix tests in generation pipeline tests
      4f438de3
    • Aryan's avatar
      Hunyuan Video Framepack F1 (#11534) · e48f6aee
      Aryan authored 
      * support framepack f1

* update docs

* update toctree

* remove typo
      e48f6aee
  21. 07 May, 2025 1 commit
    • Aryan's avatar
      Cosmos (#10660) · 7b904941
      Aryan authored 
      

* begin transformer conversion

* refactor

* refactor

* refactor

* refactor

* refactor

* refactor

* update

* add conversion script

* add pipeline

* make fix-copies

* remove einops

* update docs

* gradient checkpointing

* add transformer test

* update

* debug

* remove prints

* match sigmas

* add vae pt. 1

* finish CV* vae

* update

* update

* update

* update

* update

* update

* make fix-copies

* update

* make fix-copies

* fix

* update

* update

* make fix-copies

* update

* update tests

* handle device and dtype for safety checker; required in latest diffusers

* remove enable_gqa and use repeat_interleave instead

* enforce safety checker; use dummy checker in fast tests

* add review suggestion for ONNX export
Co-Authored-By: default avatarAsfiya Baig <asfiyab@nvidia.com>

* fix safety_checker issues when not passed explicitly

We could either do what's done in this commit, or update the Cosmos examples to explicitly pass the safety checker

* use cosmos guardrail package

* auto format docs

* update conversion script to support 14B models

* update name CosmosPipeline -> CosmosTextToWorldPipeline

* update docs

* fix docs

* fix group offload test failing for vae

---------
Co-authored-by: default avatarAsfiya Baig <asfiyab@nvidia.com>
      7b904941
  23. 02 May, 2025 1 commit
  25. 01 May, 2025 1 commit
  27. 16 Apr, 2025 1 commit
  29. 13 Apr, 2025 1 commit
    • Ishan Modi's avatar
      [ControlNet] Adds controlnet for SanaTransformer (#11040) · f1f38ffb
      Ishan Modi authored 
      

* added controlnet for sana transformer

* improve code quality

* addressed PR comments

* bug fixes

* added test cases

* update

* added dummy objects

* addressed PR comments

* update

* Forcing update

* add to docs

* code quality

* addressed PR comments

* addressed PR comments

* update

* addressed PR comments

* added proper styling

* update

* Revert "added proper styling"

This reverts commit 344ee8a7014ada095b295034ef84341f03b0e359.

* manually ordered

* Apply suggestions from code review

---------
Co-authored-by: default avatarAryan <contact.aryanvs@gmail.com>
      f1f38ffb
  31. 11 Apr, 2025 1 commit
  33. 09 Apr, 2025 1 commit
  35. 21 Mar, 2025 1 commit
  37. 12 Mar, 2025 1 commit
  39. 10 Mar, 2025 1 commit
  41. 03 Mar, 2025 1 commit
  43. 02 Mar, 2025 2 commits
    • hlky's avatar
      Add `remote_decode` to `remote_utils` (#10898) · fc4229a0
      hlky authored 
      

* Add `remote_decode` to `remote_utils`

* test dependency

* test dependency

* dependency

* dependency

* dependency

* docstrings

* changes

* make style

* apply

* revert, add new options

* Apply style fixes

* deprecate base64, headers not needed

* address comments

* add license header

* init test_remote_decode

* more

* more test

* more test

* skeleton for xl, flux

* more test

* flux test

* flux packed

* no scaling

* -save

* hunyuanvideo test

* Apply style fixes

* init docs

* Update src/diffusers/utils/remote_utils.py
Co-authored-by: default avatarSayak Paul <spsayakpaul@gmail.com>

* comments

* Apply style fixes

* comments

* hybrid_inference/vae_decode

* fix

* tip?

* tip

* api reference autodoc

* install tip

---------
Co-authored-by: default avatarsayakpaul <spsayakpaul@gmail.com>
Co-authored-by: default avatargithub-actions[bot] <github-actions[bot]@users.noreply.github.com>
      fc4229a0
    • YiYi Xu's avatar
      [Alibaba Wan Team] continue on #10921 Wan2.1 (#10922) · 2d8a41ca
      YiYi Xu authored 
      * Add wanx pipeline, model and example

* wanx_merged_v1

* change WanX into Wan

* fix i2v fp32 oom error

Link: https://code.alibaba-inc.com/open_wanx2/diffusers/codereview/20607813



* support t2v load fp32 ckpt

* add example

* final merge v1

* Update autoencoder_kl_wan.py

* up

* update middle, test up_block

* up up

* one less nn.sequential

* up more

* up

* more

* [refactor] [wip] Wan transformer/pipeline (#10926)

* update

* update

* refactor rope

* refactor pipeline

* make fix-copies

* add transformer test

* update

* update

* make style

* update tests

* tests

* conversion script

* conversion script

* update

* docs

* remove unused code

* fix _toctree.yml

* update dtype

* fix test

* fix tests: scale

* up

* more

* Apply suggestions from code review

* Apply suggestions from code review

* style

* Update scripts/convert_wan_to_diffusers.py

* update docs

* fix

---------
Co-authored-by: default avatarYitong Huang <huangyitong.hyt@alibaba-inc.com>
Co-authored-by: default avatar亚森 <wangjiayu.wjy@alibaba-inc.com>
Co-authored-by: default avatarAryan <aryan@huggingface.co>
      2d8a41ca
  45. 24 Feb, 2025 2 commits
  47. 15 Feb, 2025 1 commit
    • Yuxuan Zhang's avatar
      CogView4 (supports different length c and uc) (#10649) · d90cd362
      Yuxuan Zhang authored 
      

* init

* encode with glm

* draft schedule

* feat(scheduler): Add CogView scheduler implementation

* feat(embeddings): add CogView 2D rotary positional embedding

* 1

* Update pipeline_cogview4.py

* fix the timestep init and sigma

* update latent

* draft patch(not work)

* fix

* [WIP][cogview4]: implement initial CogView4 pipeline

Implement the basic CogView4 pipeline structure with the following changes:
- Add CogView4 pipeline implementation
- Implement DDIM scheduler for CogView4
- Add CogView3Plus transformer architecture
- Update embedding models

Current limitations:
- CFG implementation uses padding for sequence length alignment
- Need to verify transformer inference alignment with Megatron

TODO:
- Consider separate forward passes for condition/uncondition
  instead of padding approach

* [WIP][cogview4][refactor]: Split condition/uncondition forward pass in CogView4 pipeline

Split the forward pass for conditional and unconditional predictions in the CogView4 pipeline to match the original implementation. The noise prediction is now done separately for each case before combining them for guidance. However, the results still need improvement.

This is a work in progress as the generated images are not yet matching expected quality.

* use with -2 hidden state

* remove text_projector

* 1

* [WIP] Add tensor-reload to align input from transformer block

* [WIP] for older glm

* use with cogview4 transformers forward twice of u and uc

* Update convert_cogview4_to_diffusers.py

* remove this

* use main example

* change back

* reset

* setback

* back

* back 4

* Fix qkv conversion logic for CogView4 to Diffusers format

* back5

* revert to sat to cogview4 version

* update a new convert from megatron

* [WIP][cogview4]: implement CogView4 attention processor

Add CogView4AttnProcessor class for implementing scaled dot-product attention
with rotary embeddings for the CogVideoX model. This processor concatenates
encoder and hidden states, applies QKV projections and RoPE, but does not
include spatial normalization.

TODO:
- Fix incorrect QKV projection weights
- Resolve ~25% error in RoPE implementation compared to Megatron

* [cogview4] implement CogView4 transformer block

Implement CogView4 transformer block following the Megatron architecture:
- Add multi-modulate and multi-gate mechanisms for adaptive layer normalization
- Implement dual-stream attention with encoder-decoder structure
- Add feed-forward network with GELU activation
- Support rotary position embeddings for image tokens

The implementation follows the original CogView4 architecture while adapting
it to work within the diffusers framework.

* with new attn

* [bugfix] fix dimension mismatch in CogView4 attention

* [cogview4][WIP]: update final normalization in CogView4 transformer

Refactored the final normalization layer in CogView4 transformer to use separate layernorm and AdaLN operations instead of combined AdaLayerNormContinuous. This matches the original implementation but needs validation.

Needs verification against reference implementation.

* 1

* put back

* Update transformer_cogview4.py

* change time_shift

* Update pipeline_cogview4.py

* change timesteps

* fix

* change text_encoder_id

* [cogview4][rope] align RoPE implementation with Megatron

- Implement apply_rope method in attention processor to match Megatron's implementation
- Update position embeddings to ensure compatibility with Megatron-style rotary embeddings
- Ensure consistent rotary position encoding across attention layers

This change improves compatibility with Megatron-based models and provides
better alignment with the original implementation's positional encoding approach.

* [cogview4][bugfix] apply silu activation to time embeddings in CogView4

Applied silu activation to time embeddings before splitting into conditional
and unconditional parts in CogView4Transformer2DModel. This matches the
original implementation and helps ensure correct time conditioning behavior.

* [cogview4][chore] clean up pipeline code

- Remove commented out code and debug statements
- Remove unused retrieve_timesteps function
- Clean up code formatting and documentation

This commit focuses on code cleanup in the CogView4 pipeline implementation, removing unnecessary commented code and improving readability without changing functionality.

* [cogview4][scheduler] Implement CogView4 scheduler and pipeline

* now It work

* add timestep

* batch

* change convert scipt

* refactor pt. 1; make style

* refactor pt. 2

* refactor pt. 3

* add tests

* make fix-copies

* update toctree.yml

* use flow match scheduler instead of custom

* remove scheduling_cogview.py

* add tiktoken to test dependencies

* Update src/diffusers/models/embeddings.py
Co-authored-by: default avatarYiYi Xu <yixu310@gmail.com>

* apply suggestions from review

* use diffusers apply_rotary_emb

* update flow match scheduler to accept timesteps

* fix comment

* apply review sugestions

* Update src/diffusers/schedulers/scheduling_flow_match_euler_discrete.py
Co-authored-by: default avatarYiYi Xu <yixu310@gmail.com>

---------
Co-authored-by: default avatar三洋三洋 <1258009915@qq.com>
Co-authored-by: default avatarOleehyO <leehy0357@gmail.com>
Co-authored-by: default avatarAryan <aryan@huggingface.co>
Co-authored-by: default avatarYiYi Xu <yixu310@gmail.com>
      d90cd362
  49. 11 Feb, 2025 2 commits
  51. 27 Jan, 2025 1 commit
  53. 19 Jan, 2025 1 commit
  55. 16 Jan, 2025 1 commit
  57. 31 Dec, 2024 1 commit
  59. 23 Dec, 2024 1 commit
  61. 20 Dec, 2024 1 commit
  63. 18 Dec, 2024 1 commit
  65. 17 Dec, 2024 1 commit
  67. 16 Dec, 2024 2 commits
    • Aryan's avatar
      [core] TorchAO Quantizer (#10009) · 9f00c617
      Aryan authored 
      

* torchao quantizer


---------
Co-authored-by: default avatarSayak Paul <spsayakpaul@gmail.com>
Co-authored-by: default avatarSteven Liu <59462357+stevhliu@users.noreply.github.com>
      9f00c617
    • Aryan's avatar
      [core] Hunyuan Video (#10136) · aace1f41
      Aryan authored 
      

* copy transformer

* copy vae

* copy pipeline

* make fix-copies

* refactor; make original code work with diffusers; test latents for comparison generated with this commit

* move rope into pipeline; remove flash attention; refactor

* begin conversion script

* make style

* refactor attention

* refactor

* refactor final layer

* their mlp -> our feedforward

* make style

* add docs

* refactor layer names

* refactor modulation

* cleanup

* refactor norms

* refactor activations

* refactor single blocks attention

* refactor attention processor

* make style

* cleanup a bit

* refactor double transformer block attention

* update mochi attn proc

* use diffusers attention implementation in all modules; checkpoint for all values matching original

* remove helper functions in vae

* refactor upsample

* refactor causal conv

* refactor resnet

* refactor

* refactor

* refactor

* grad checkpointing

* autoencoder test

* fix scaling factor

* refactor clip

* refactor llama text encoding

* add coauthor
Co-Authored-By: default avatar"Gregory D. Hunkins" <greg@ollano.com>

* refactor rope; diff: 0.14990234375; reason and fix: create rope grid on cpu and move to device

Note: The following line diverges from original behaviour. We create the grid on the device, whereas
original implementation creates it on CPU and then moves it to device. This results in numerical
differences in layerwise debugging outputs, but visually it is the same.

* use diffusers timesteps embedding; diff: 0.10205078125

* rename

* convert

* update

* add tests for transformer

* add pipeline tests; text encoder 2 is not optional

* fix attention implementation for torch

* add example

* update docs

* update docs

* apply suggestions from review

* refactor vae

* update

* Apply suggestions from code review
Co-authored-by: default avatarhlky <hlky@hlky.ac>

* Update src/diffusers/pipelines/hunyuan_video/pipeline_hunyuan_video.py
Co-authored-by: default avatarhlky <hlky@hlky.ac>

* Update src/diffusers/pipelines/hunyuan_video/pipeline_hunyuan_video.py
Co-authored-by: default avatarhlky <hlky@hlky.ac>

* make fix-copies

* update

---------
Co-authored-by: default avatar"Gregory D. Hunkins" <greg@ollano.com>
Co-authored-by: default avatarhlky <hlky@hlky.ac>
      aace1f41