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mirror of https://github.com/huggingface/diffusers.git synced 2026-10-24 20:59:27 +03:00
Commit Graph

46 Commits

Author SHA1 Message Date
Sayak Paul
7ecb1e1b4f Flux3 image (#15046)
* Bump the actions group with 17 updates (#12)

Bumps the actions group with 17 updates:

| Package | From | To |
| --- | --- | --- |
| [actions/checkout](https://github.com/actions/checkout) | `6` | `7` |
| [actions/upload-artifact](https://github.com/actions/upload-artifact) | `4.6.2` | `7.0.1` |
| [docker/setup-buildx-action](https://github.com/docker/setup-buildx-action) | `3.12.0` | `4.2.0` |
| [docker/login-action](https://github.com/docker/login-action) | `3.7.0` | `4.6.0` |
| [docker/build-push-action](https://github.com/docker/build-push-action) | `6.19.2` | `7.3.0` |
| [huggingface/doc-builder/.github/workflows/build_main_documentation.yml](https://github.com/huggingface/doc-builder) | `e60a538eea9817ab312196d0d233604b01697265` | `af49b8dc3859c3d80c7220c8c0ba146431132e49` |
| [actions/setup-python](https://github.com/actions/setup-python) | `5.6.0` | `7.0.0` |
| [huggingface/doc-builder/.github/workflows/build_pr_documentation.yml](https://github.com/huggingface/doc-builder) | `e60a538eea9817ab312196d0d233604b01697265` | `af49b8dc3859c3d80c7220c8c0ba146431132e49` |
| [anthropics/claude-code-action](https://github.com/anthropics/claude-code-action) | `1.0.155` | `1.0.193` |
| [huggingface/security-workflows/.github/workflows/codeql-reusable.yml](https://github.com/huggingface/security-workflows) | `1.1.0` | `1.2.0` |
| [actions/download-artifact](https://github.com/actions/download-artifact) | `4.3.0` | `8.0.1` |
| [actions/labeler](https://github.com/actions/labeler) | `5.0.0` | `7.0.0` |
| [pypa/gh-action-pypi-publish](https://github.com/pypa/gh-action-pypi-publish) | `1.13.0` | `1.14.2` |
| [huggingface/tailscale-action](https://github.com/huggingface/tailscale-action) | `7d53c9737e53934c30290b5524d1c9b4a7c98c8a` | `07d36e4c3b68707bd3fe070dbb96f03f993a6efd` |
| [trufflesecurity/trufflehog](https://github.com/trufflesecurity/trufflehog) | `3.94.2` | `3.97.0` |
| [crate-ci/typos](https://github.com/crate-ci/typos) | `1.42.1` | `1.49.0` |
| [huggingface/doc-builder/.github/workflows/upload_pr_documentation.yml](https://github.com/huggingface/doc-builder) | `9ad2de8582b56c017cb530c1165116d40433f1c6` | `af49b8dc3859c3d80c7220c8c0ba146431132e49` |


Updates `actions/checkout` from 6 to 7
- [Release notes](https://github.com/actions/checkout/releases)
- [Commits](https://github.com/actions/checkout/compare/v6...v7)

Updates `actions/upload-artifact` from 4.6.2 to 7.0.1
- [Release notes](https://github.com/actions/upload-artifact/releases)
- [Commits](https://github.com/actions/upload-artifact/compare/v4.6.2...v7.0.1)

Updates `docker/setup-buildx-action` from 3.12.0 to 4.2.0
- [Release notes](https://github.com/docker/setup-buildx-action/releases)
- [Commits](8d2750c68a...bb05f3f551)

Updates `docker/login-action` from 3.7.0 to 4.6.0
- [Release notes](https://github.com/docker/login-action/releases)
- [Commits](c94ce9fb46...dbcb813823)

Updates `docker/build-push-action` from 6.19.2 to 7.3.0
- [Release notes](https://github.com/docker/build-push-action/releases)
- [Commits](10e90e3645...53b7df96c9)

Updates `huggingface/doc-builder/.github/workflows/build_main_documentation.yml` from e60a538eea9817ab312196d0d233604b01697265 to af49b8dc3859c3d80c7220c8c0ba146431132e49
- [Release notes](https://github.com/huggingface/doc-builder/releases)
- [Commits](e60a538eea...af49b8dc38)

Updates `actions/setup-python` from 5.6.0 to 7.0.0
- [Release notes](https://github.com/actions/setup-python/releases)
- [Commits](https://github.com/actions/setup-python/compare/v5.6.0...v7)

Updates `huggingface/doc-builder/.github/workflows/build_pr_documentation.yml` from e60a538eea9817ab312196d0d233604b01697265 to af49b8dc3859c3d80c7220c8c0ba146431132e49
- [Release notes](https://github.com/huggingface/doc-builder/releases)
- [Commits](e60a538eea...af49b8dc38)

Updates `anthropics/claude-code-action` from 1.0.155 to 1.0.193
- [Release notes](https://github.com/anthropics/claude-code-action/releases)
- [Commits](80b3182633...9d7150bc8a)

Updates `huggingface/security-workflows/.github/workflows/codeql-reusable.yml` from 1.1.0 to 1.2.0
- [Release notes](https://github.com/huggingface/security-workflows/releases)
- [Commits](dc6ca34688...e0d40aaf3c)

Updates `actions/download-artifact` from 4.3.0 to 8.0.1
- [Release notes](https://github.com/actions/download-artifact/releases)
- [Commits](https://github.com/actions/download-artifact/compare/v4.3.0...3e5f45b2cfb9172054b4087a40e8e0b5a5461e7c)

Updates `actions/labeler` from 5.0.0 to 7.0.0
- [Release notes](https://github.com/actions/labeler/releases)
- [Commits](8558fd7429...bf12e9b00b)

Updates `pypa/gh-action-pypi-publish` from 1.13.0 to 1.14.2
- [Release notes](https://github.com/pypa/gh-action-pypi-publish/releases)
- [Commits](ed0c53931b...dc37677b2e)

Updates `huggingface/tailscale-action` from 7d53c9737e53934c30290b5524d1c9b4a7c98c8a to 07d36e4c3b68707bd3fe070dbb96f03f993a6efd
- [Release notes](https://github.com/huggingface/tailscale-action/releases)
- [Commits](7d53c9737e...07d36e4c3b)

Updates `trufflesecurity/trufflehog` from 3.94.2 to 3.97.0
- [Release notes](https://github.com/trufflesecurity/trufflehog/releases)
- [Commits](6bd2d14f7a...bcfcf73aaf)

Updates `crate-ci/typos` from 1.42.1 to 1.49.0
- [Release notes](https://github.com/crate-ci/typos/releases)
- [Changelog](https://github.com/crate-ci/typos/blob/master/CHANGELOG.md)
- [Commits](65120634e7...8a48f81b6c)

Updates `huggingface/doc-builder/.github/workflows/upload_pr_documentation.yml` from 9ad2de8582b56c017cb530c1165116d40433f1c6 to af49b8dc3859c3d80c7220c8c0ba146431132e49
- [Release notes](https://github.com/huggingface/doc-builder/releases)
- [Commits](9ad2de8582...af49b8dc38)

---
updated-dependencies:
- dependency-name: actions/checkout
  dependency-version: '7'
  dependency-type: direct:production
  update-type: version-update:semver-major
  dependency-group: actions
- dependency-name: actions/upload-artifact
  dependency-version: 7.0.1
  dependency-type: direct:production
  update-type: version-update:semver-major
  dependency-group: actions
- dependency-name: docker/setup-buildx-action
  dependency-version: 4.2.0
  dependency-type: direct:production
  update-type: version-update:semver-major
  dependency-group: actions
- dependency-name: docker/login-action
  dependency-version: 4.6.0
  dependency-type: direct:production
  update-type: version-update:semver-major
  dependency-group: actions
- dependency-name: docker/build-push-action
  dependency-version: 7.3.0
  dependency-type: direct:production
  update-type: version-update:semver-major
  dependency-group: actions
- dependency-name: huggingface/doc-builder/.github/workflows/build_main_documentation.yml
  dependency-version: af49b8dc3859c3d80c7220c8c0ba146431132e49
  dependency-type: direct:production
  dependency-group: actions
- dependency-name: actions/setup-python
  dependency-version: 7.0.0
  dependency-type: direct:production
  update-type: version-update:semver-major
  dependency-group: actions
- dependency-name: huggingface/doc-builder/.github/workflows/build_pr_documentation.yml
  dependency-version: af49b8dc3859c3d80c7220c8c0ba146431132e49
  dependency-type: direct:production
  dependency-group: actions
- dependency-name: anthropics/claude-code-action
  dependency-version: 1.0.193
  dependency-type: direct:production
  update-type: version-update:semver-patch
  dependency-group: actions
- dependency-name: huggingface/security-workflows/.github/workflows/codeql-reusable.yml
  dependency-version: 1.2.0
  dependency-type: direct:production
  update-type: version-update:semver-minor
  dependency-group: actions
- dependency-name: actions/download-artifact
  dependency-version: 8.0.1
  dependency-type: direct:production
  update-type: version-update:semver-major
  dependency-group: actions
- dependency-name: actions/labeler
  dependency-version: 7.0.0
  dependency-type: direct:production
  update-type: version-update:semver-major
  dependency-group: actions
- dependency-name: pypa/gh-action-pypi-publish
  dependency-version: 1.14.2
  dependency-type: direct:production
  update-type: version-update:semver-minor
  dependency-group: actions
- dependency-name: huggingface/tailscale-action
  dependency-version: 07d36e4c3b68707bd3fe070dbb96f03f993a6efd
  dependency-type: direct:production
  dependency-group: actions
- dependency-name: trufflesecurity/trufflehog
  dependency-version: 3.97.0
  dependency-type: direct:production
  update-type: version-update:semver-minor
  dependency-group: actions
- dependency-name: crate-ci/typos
  dependency-version: 1.49.0
  dependency-type: direct:production
  update-type: version-update:semver-minor
  dependency-group: actions
- dependency-name: huggingface/doc-builder/.github/workflows/upload_pr_documentation.yml
  dependency-version: af49b8dc3859c3d80c7220c8c0ba146431132e49
  dependency-type: direct:production
  dependency-group: actions
...

Signed-off-by: dependabot[bot] <support@github.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>

* Scope GITHUB_TOKEN permissions per job (#16)

A job with no `permissions:` block inherits whatever the repository
hands out. Each block added here grants what that job's own steps
need and nothing more.

Co-authored-by: hf-security-analysis[bot] <265538906+hf-security-analysis[bot]@users.noreply.github.com>

* Pin GitHub Actions to commit SHAs (#17)

A tag is mutable: whoever controls the action's repository can move
`v4` to different code, and the next run picks it up with no diff to
review. Pinning to the commit SHA freezes the code that runs today.

Co-authored-by: hf-security-analysis[bot] <265538906+hf-security-analysis[bot]@users.noreply.github.com>

* Bump doc-builder workflow pin (#22)

* Bump doc-builder pin to 9fc8a41 in build_documentation.yml

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>

* Bump doc-builder pin to 9fc8a41 in build_pr_documentation.yml

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>

* Bump doc-builder pin to 9fc8a41 in upload_pr_documentation.yml

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>

---------

Co-authored-by: Claude Opus 4.8 <noreply@anthropic.com>

* Add FLUX.3 image: Flux3Transformer2DModel and modular text-to-image / image-to-image pipeline

Adds the FLUX.3 image transformer, the modular pipeline (text-to-image and image-to-image with one
prompt per call and one or more reference images), Flux3ImageProcessor, the converter for BFL's
model package, tests and docs. Verified against BFL's reference on the real checkpoint
(integration-notes/parity_bf16.py, temporary folder).

Co-Authored-By: Claude Fable 5.1 <noreply@anthropic.com>

* integration-notes: ship the knight example image with the doc examples

Co-Authored-By: Claude Fable 5.1 <noreply@anthropic.com>

* integration-notes: drop the tokenizer config workaround (not needed with transformers 5.x)

Co-Authored-By: Claude Fable 5.1 <noreply@anthropic.com>

* Address review: rename the mode channel dict and the final norm, name the reference workflow
image_conditioned, document the guidance scale

Co-Authored-By: Claude Fable 5.1 <noreply@anthropic.com>

* Add the step-distilled FLUX.3 image model (flow map)

- transformer: `flow_map` config and `target_timestep_embedder`; forward takes
  `target_timestep` (the timestep each step jumps to), added to the modulation
  of every mode and the final layer
- convert script: map `ref_time_in.*` and read `flow_map` from the package config
- modular: dedicated `Flux3Distilled*` blocks (text encoder, text input, text
  RoPE inputs, denoiser) with no guider and no negative prompt, 16 steps by
  default; `Flux3DistilledAutoBlocks` and `Flux3DistilledModularPipeline`
- tests for the flow-map transformer path and the distilled modular pipeline
- docs: step-distilled section and autodoc entries

Co-Authored-By: Claude Fable 5.1 <noreply@anthropic.com>

* Add the step-distilled examples script

Same four cases as flux3_examples.py, run against the distilled Hub repo.

Co-Authored-By: Claude Fable 5.1 <noreply@anthropic.com>

* feat: add a single file support in Flux3 image. (#32)

* Warn about the denoiser input fields that are not passed to the transformer

Co-Authored-By: Claude Fable 5.1 <noreply@anthropic.com>

* Document reproducible generation with user-provided latents

Co-Authored-By: Claude Fable 5.1 <noreply@anthropic.com>

* Run the QK norm and RoPE in fp32 with a single cast back, matching the BFL implementation

Co-Authored-By: Claude Fable 5.1 <noreply@anthropic.com>

* parity script: run against the Hub repos and print the imported diffusers source

Co-Authored-By: Claude Fable 5.1 <noreply@anthropic.com>

* Wrap a forward docstring line for the doc-builder style check

Co-Authored-By: Claude Fable 5.1 <noreply@anthropic.com>

* support lora loading (including ostris) in flux3 image pipeline. (#25)

* feat: support loading and performing inference with single-file formatted FP8 and NVFP4 checkpoints (#24)

* feat: support loading siungle file format checkpoints including quants.

* remove updates.patch

* remove fluff.

* feat: add a single file support in Flux3 image.

* bfl prefix

* version guard.

* prpoagate changes.

* add tests

* doc mods and remove integration notes

* remove script for quant

---------

Co-authored-by: Claude Fable 5.1 <noreply@anthropic.com>

* add LoRA training for Flux 3 image small

* tests: clarify FLUX3_TINY_REPO comment

The tiny repo is uploaded to hf-internal-testing and the env var is a
local-dev escape hatch, not a pre-PR TODO.

* examples/flux3: drop unused args and dead class

Remove the text-encoder weight-decay arg from both trainers (neither
trains the text encoder) and, from the img2img trainer, the
prior-preservation leftovers (--class_data_dir, --sample_batch_size,
PromptDataset) that it never uses.

* bump yarn example rank to 32 in flux3 small readme

* Document <ref_image_n> references and layout prompts for FLUX.3

Matches the prompt grammar in BFL's reference inference code (bfl-hf-flux3-confidential#3): references are addressed as <ref_image_n> in the order passed to image, and regions can be placed with a trailing JSON list of id / bbox / desc (from / src_bbox / tgt_bbox when editing).

* examples/flux3: set klein model id, document ref image prompts, clean leftover refs

* point flux3 image docs at the klein release model ids

* fix: TestFlux3DistilledModularPipelineWorkflow::test_workflow_defaults test (#35)

* fix checkpoint ids in the flux3 docs. (#38)

* [docs] update pipe loading with vae fp32 dtype (#39)

* update pipe loading with vae fp32 dtype

* updating `load_componenets`

* use actual ckpts. (#42)

* flux3 klein example: rename from "small" and fix caption dropout for long prompts (#41)

* examples/flux3: rename small trainer, tests and readme files to klein

* examples/flux3: fix caption dropout shape mismatch for prompts longer than the pad window

* examples/flux3: add caption dropout to the i2i trainer

* examples/flux3: complete the klein rename (test class names, example output dirs)

* examples/flux3: guard against train_batch_size>1 with variable-length captions

* update flux3.md (#43)

* examples/flux3: support train_batch_size>1 and prior preservation with variable-length captions (#44)

* doc

* autodocstrings.

---------

Signed-off-by: dependabot[bot] <support@github.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
Co-authored-by: hf-security-analysis[bot] <265538906+hf-security-analysis[bot]@users.noreply.github.com>
Co-authored-by: Pauline Bailly-Masson <155966238+paulinebm@users.noreply.github.com>
Co-authored-by: Claude Opus 4.8 <noreply@anthropic.com>
Co-authored-by: yiyixuxu <yixu310@gmail.com>
Co-authored-by: linoytsaban <linoy.tsaban@gmail.com>
Co-authored-by: apolinΓ‘rio <joaopaulo.passos@gmail.com>
Co-authored-by: Linoy Tsaban <57615435+linoytsaban@users.noreply.github.com>
Co-authored-by: Aritra Roy Gosthipaty <aritra.born2fly@gmail.com>
Co-authored-by: Yumeng Li <109459218+YumengLi007@users.noreply.github.com>
2026-10-15 22:00:50 +05:30
Sayak Paul
daad99a04a [tests] remove quanto tests. (#14254)
* remove quanto tests.

* deprecate quanto and remove tests
2026-08-27 13:59:40 +05:30
kaixuanliu
b9bc22bd57 make examples in docs device agnostic (#14414)
* docs: annotate hardcoded cuda device with alternatives in English docs

* docs: annotate hardcoded device_map="cuda" with alternatives

* update

Signed-off-by: kaixuanliu <kaixuan.liu@intel.com>

---------

Signed-off-by: kaixuanliu <kaixuan.liu@intel.com>
2026-08-25 08:12:22 -07:00
Vinh H. Pham
788e80206a docs: document fused-kernel performance in Nunchaku Lite guide (#14458)
* docs: document fused-kernel performance in Nunchaku Lite guide

* Apply suggestions from code review

Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>

* Apply suggestion from @rootonchair

---------

Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
2026-08-13 09:00:17 -07:00
Sayak Paul
3533886987 [kernels] download kernels when users request for it. (#14298)
* download kernels when users request for it.

* address review feedback
2026-08-03 23:28:24 +08:00
Álvaro Somoza
8b33b47332 [quantization] SDNQ core loading (#14277)
* initial

* fix code quality

* dependency test fix

* apply review suggestions

* add extras and version check

* fix gating and prefer local cache for modular

* simplify transformers registration and make the version warning silenceable

* remove pipeline level test

* only model level testing

* layers to quantizze, change em dashes

* env flag for transformers

---------

Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>
2026-07-30 13:09:11 +05:30
Steven Liu
351de3a6fe [docs] deprecate torch_dtype for dtype (#14313)
* docs

* update

* Revert "docs"

This reverts commit 04ca80543f.

---------

Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>
2026-07-29 08:20:06 +05:30
Sayak Paul
1c6aaa7678 [docs] minor corrections in the overview of quantization table (#14301)
minor corrections in the overview of quantization table
2026-07-29 08:06:41 +05:30
Sayak Paul
d4ec49f7cf [docs] add a warning note about device_map='cuda' usage. (#14261)
* add a warning note about device_map='cuda' usage.

* Apply suggestions from code review

Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>

---------

Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
2026-07-29 08:06:30 +05:30
Vinh H. Pham
60ec6f7242 Add Nunchaku Lite single-file quantization (#14100)
* Add Nunchaku Lite single-file quantization

* Support config-backed Nunchaku Lite loading

* Remove Nunchaku runtime manifest metadata loading

* Simplify Nunchaku compact config loading

* Add Nunchaku Lite quantization tests

* Document Nunchaku Lite checkpoint loading

* Refine Nunchaku Lite quantization docs

* Remove unused Nunchaku smooth factor original weights

* Update docs/source/en/quantization/nunchaku.md

Co-authored-by: sergereview[bot] <283583894+sergereview[bot]@users.noreply.github.com>

* Update src/diffusers/quantizers/nunchaku/utils.py

Co-authored-by: sergereview[bot] <283583894+sergereview[bot]@users.noreply.github.com>

* Update src/diffusers/quantizers/nunchaku/nunchaku_quantizer.py

Co-authored-by: sergereview[bot] <283583894+sergereview[bot]@users.noreply.github.com>

* Address Nunchaku Lite review feedback

* Update Nunchaku Lite quantizer

* Rename Nunchaku Lite fp4 precision to nvfp4

* Allow torch_dtype to override Nunchaku compute dtype

* Keep Nunchaku replacement modules on meta during loading

* Require kernels when importing Nunchaku runtime utils

* Use kernels requirement decorators for Nunchaku tests

* Validate Nunchaku CUDA capability requirements

* Apply suggestions from code review

Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>

* docs: update nunchaku quantization guide

* test: remove nunchaku quantization tests

* fix: reject hopper for nunchaku lite

* Apply suggestion from @rootonchair

* docs: update nunchaku lite compile example

* Apply style fixes

* Apply suggestions from code review

Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
Co-authored-by: Vinh H. Pham  <phamvinh257@gmail.com>

* update doc to be more reasonable

* fix import that requires kernels

---------

Co-authored-by: sergereview[bot] <283583894+sergereview[bot]@users.noreply.github.com>
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>
Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com>
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
2026-07-14 10:09:08 +05:30
Xin He
c31bb1c148 Integrate AutoRound into Diffusers (#13552)
* support auto_round

Signed-off-by: Xin He <xin3.he@intel.com>

* add document and unit tests

Signed-off-by: Xin He <xin3.he@intel.com>

* fix CI

Signed-off-by: Xin He <xin3.he@intel.com>

* Apply suggestions from code review

Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>

* update document and overwrite the default quantization_config with specified backend.

Signed-off-by: Xin He <xin3.he@intel.com>

* add UT and fix bug

Signed-off-by: Xin He <xin3.he@intel.com>

* update per comments

Signed-off-by: Xin He <xin3.he@intel.com>

* update per comments

Signed-off-by: Xin He <xin3.he@intel.com>

* fix compile error in doc

Signed-off-by: Xin He <xin3.he@intel.com>

* Apply style fixes

* small nits

* Add auto_round dependency to the versions table

Signed-off-by: Xin He <xin3.he@intel.com>

* fix make deps_table_check_updated

Signed-off-by: Xin He <xin3.he@intel.com>

* fix CI

Signed-off-by: Xin He <xin3.he@intel.com>

---------

Signed-off-by: Xin He <xin3.he@intel.com>
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com>
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>
2026-06-10 11:41:18 +05:30
Howard Zhang
1fe2125802 remove str option for quantization config in torchao (#13291)
* remove str option for quantization config in torchao

* Apply style fixes

* minor fixes

* Added AOBaseConfig docs to torchao.md

* minor fixes for removing str option torchao

* minor change to add back int and uint check

* minor fixes

* minor fixes to tests

* Update tests/quantization/torchao/test_torchao.py

Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>

* Update docs/source/en/quantization/torchao.md

Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>

* Update tests/quantization/torchao/test_torchao.py

Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>

* version=2 update to test_torchao.py

---------

Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com>
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>
2026-03-27 08:52:37 +05:30
Sayak Paul
90818e82b3 [docs] Fix syntax error in quantization configuration (#13076)
Fix syntax error in quantization configuration
2026-02-04 08:31:03 -08:00
Vasiliy Kuznetsov
74a0f0b694 remove torchao autoquant from diffusers docs (#13048)
Summary:

Context: https://github.com/pytorch/ao/issues/3739

Test Plan: CI, since this does not change any Python code
2026-01-28 21:10:22 +05:30
Sayak Paul
961b9b27d3 [docs] fix torchao typo. (#12883)
fix torchao typo.
2026-01-07 09:43:02 -08:00
jingyu-ml
5a74319715 Update the TensorRT-ModelOPT to Nvidia-ModelOPT (#12793)
Update the naming

Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>
2025-12-08 10:07:04 +05:30
Steven Liu
cc5b31ffc9 [docs] Migrate syntax (#12390)
* change syntax

* make style
2025-09-30 10:11:19 -07:00
Sayak Paul
64a5187d96 [quantization] feat: support aobaseconfig classes in TorchAOConfig (#12275)
* feat: support aobaseconfig classes.

* [docs] AOBaseConfig (#12302)

init

Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>

* up

* replace with is_torchao_version

* up

* up

---------

Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
2025-09-29 18:04:18 +05:30
Sayak Paul
eb7ef26736 [quant] allow components_to_quantize to be a non-list for single components (#12234)
* allow non list components_to_quantize.

* up

* Apply suggestions from code review

* Apply suggestions from code review

Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>

* [docs] components_to_quantize (#12287)

init

Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>

---------

Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
2025-09-10 09:47:08 -10:00
Ishan Modi
4acbfbf13b [Quantization] Add TRT-ModelOpt as a Backend (#11173)
* initial commit

* update

* updates

* update

* update

* update

* update

* update

* update

* addressed PR comments

* update

* addressed PR comments

* update

* update

* update

* update

* update

* update

* updates

* update

* update

* addressed PR comments

* updates

* code formatting

* update

* addressed PR comments

* addressed PR comments

* addressed PR comments

* addressed PR comments

* fix docs and dependencies

* fixed dependency test

---------

Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>
2025-09-03 10:14:52 +05:30
Sayak Paul
03c3f69aa5 [docs] diffusers gguf checkpoints (#12092)
* feat: support loading diffusers format gguf checkpoints.

* update

* update

* qwen

* up

* Apply suggestions from code review

Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
Co-authored-by: Dhruv Nair <dhruv.nair@gmail.com>

* up

---------

Co-authored-by: DN6 <dhruv.nair@gmail.com>
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
2025-08-09 08:49:49 +05:30
Isotr0py
ba2ba9019f Add cuda kernel support for GGUF inference (#11869)
* add gguf kernel support

Signed-off-by: Isotr0py <2037008807@qq.com>

* fix

Signed-off-by: Isotr0py <2037008807@qq.com>

* optimize

Signed-off-by: Isotr0py <2037008807@qq.com>

* update

* update

* update

* update

* update

---------

Signed-off-by: Isotr0py <2037008807@qq.com>
Co-authored-by: DN6 <dhruv.nair@gmail.com>
2025-08-05 21:36:48 +05:30
Steven Liu
327e251b81 [docs] Fix link (#12018)
fix link
2025-07-29 11:45:15 -07:00
Steven Liu
dfa48831e2 [docs] quant_kwargs (#11712)
* draft

* update
2025-07-29 10:23:16 -07:00
Aryan
a4df8dbc40 Update more licenses to 2025 (#11746)
update
2025-06-19 07:46:01 +05:30
Sayak Paul
62cbde8d41 [docs] mention fp8 benefits on supported hardware. (#11699)
* mention fp8 benefits on supported hardware.

* Update docs/source/en/quantization/torchao.md

Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>

---------

Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
2025-06-13 07:17:03 +05:30
Sayak Paul
00b179fb1a [docs] add compilation bits to the bitsandbytes docs. (#11693)
* add compilation bits to the bitsandbytes docs.

* Apply suggestions from code review

Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>

* finish

---------

Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
2025-06-12 08:49:24 +05:30
Sayak Paul
b975bceff3 [docs] update torchao doc link (#11634)
update torchao doc link
2025-05-30 08:30:36 -07:00
Steven Liu
be2fb77dc1 [docs] PyTorch 2.0 (#11618)
* combine

* Update docs/source/en/optimization/fp16.md

Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>

---------

Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>
2025-05-28 09:42:41 -07:00
Steven Liu
7ae546f8d1 [docs] Pipeline-level quantization (#11604)
refactor
2025-05-26 14:12:57 +05:30
Sayak Paul
599c887164 feat: pipeline-level quantization config (#11130)
* feat: pipeline-level quant config.

Co-authored-by: SunMarc <marc.sun@hotmail.fr>

condition better.

support mapping.

improvements.

[Quantization] Add Quanto backend (#10756)

* update

* updaet

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* Update docs/source/en/quantization/quanto.md

Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* Update src/diffusers/quantizers/quanto/utils.py

Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>

* update

* update

---------

Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>

[Single File] Add single file loading for SANA Transformer (#10947)

* added support for from_single_file

* added diffusers mapping script

* added testcase

* bug fix

* updated tests

* corrected code quality

* corrected code quality

---------

Co-authored-by: Dhruv Nair <dhruv.nair@gmail.com>

[LoRA] Improve warning messages when LoRA loading becomes a no-op (#10187)

* updates

* updates

* updates

* updates

* notebooks revert

* fix-copies.

* seeing

* fix

* revert

* fixes

* fixes

* fixes

* remove print

* fix

* conflicts ii.

* updates

* fixes

* better filtering of prefix.

---------

Co-authored-by: hlky <hlky@hlky.ac>

[LoRA] CogView4 (#10981)

* update

* make fix-copies

* update

[Tests] improve quantization tests by additionally measuring the inference memory savings (#11021)

* memory usage tests

* fixes

* gguf

[`Research Project`] Add AnyText: Multilingual Visual Text Generation And Editing (#8998)

* Add initial template

* Second template

* feat: Add TextEmbeddingModule to AnyTextPipeline

* feat: Add AuxiliaryLatentModule template to AnyTextPipeline

* Add bert tokenizer from the anytext repo for now

* feat: Update AnyTextPipeline's modify_prompt method

This commit adds improvements to the modify_prompt method in the AnyTextPipeline class. The method now handles special characters and replaces selected string prompts with a placeholder. Additionally, it includes a check for Chinese text and translation using the trans_pipe.

* Fill in the `forward` pass of `AuxiliaryLatentModule`

* `make style && make quality`

* `chore: Update bert_tokenizer.py with a TODO comment suggesting the use of the transformers library`

* Update error handling to raise and logging

* Add `create_glyph_lines` function into `TextEmbeddingModule`

* make style

* Up

* Up

* Up

* Up

* Remove several comments

* refactor: Remove ControlNetConditioningEmbedding and update code accordingly

* Up

* Up

* up

* refactor: Update AnyTextPipeline to include new optional parameters

* up

* feat: Add OCR model and its components

* chore: Update `TextEmbeddingModule` to include OCR model components and dependencies

* chore: Update `AuxiliaryLatentModule` to include VAE model and its dependencies for masked image in the editing task

* `make style`

* refactor: Update `AnyTextPipeline`'s docstring

* Update `AuxiliaryLatentModule` to include info dictionary so that text processing is done once

* simplify

* `make style`

* Converting `TextEmbeddingModule` to ordinary `encode_prompt()` function

* Simplify for now

* `make style`

* Up

* feat: Add scripts to convert AnyText controlnet to diffusers

* `make style`

* Fix: Move glyph rendering to `TextEmbeddingModule` from `AuxiliaryLatentModule`

* make style

* Up

* Simplify

* Up

* feat: Add safetensors module for loading model file

* Fix device issues

* Up

* Up

* refactor: Simplify

* refactor: Simplify code for loading models and handling data types

* `make style`

* refactor: Update to() method in FrozenCLIPEmbedderT3 and TextEmbeddingModule

* refactor: Update dtype in embedding_manager.py to match proj.weight

* Up

* Add attribution and adaptation information to pipeline_anytext.py

* Update usage example

* Will refactor `controlnet_cond_embedding` initialization

* Add `AnyTextControlNetConditioningEmbedding` template

* Refactor organization

* style

* style

* Move custom blocks from `AuxiliaryLatentModule` to `AnyTextControlNetConditioningEmbedding`

* Follow one-file policy

* style

* [Docs] Update README and pipeline_anytext.py to use AnyTextControlNetModel

* [Docs] Update import statement for AnyTextControlNetModel in pipeline_anytext.py

* [Fix] Update import path for ControlNetModel, ControlNetOutput in anytext_controlnet.py

* Refactor AnyTextControlNet to use configurable conditioning embedding channels

* Complete control net conditioning embedding in AnyTextControlNetModel

* up

* [FIX] Ensure embeddings use correct device in AnyTextControlNetModel

* up

* up

* style

* [UPDATE] Revise README and example code for AnyTextPipeline integration with DiffusionPipeline

* [UPDATE] Update example code in anytext.py to use correct font file and improve clarity

* down

* [UPDATE] Refactor BasicTokenizer usage to a new Checker class for text processing

* update pillow

* [UPDATE] Remove commented-out code and unnecessary docstring in anytext.py and anytext_controlnet.py for improved clarity

* [REMOVE] Delete frozen_clip_embedder_t3.py as it is in the anytext.py file

* [UPDATE] Replace edict with dict for configuration in anytext.py and RecModel.py for consistency

* πŸ†™

* style

* [UPDATE] Revise README.md for clarity, remove unused imports in anytext.py, and add author credits in anytext_controlnet.py

* style

* Update examples/research_projects/anytext/README.md

Co-authored-by: Aryan <contact.aryanvs@gmail.com>

* Remove commented-out image preparation code in AnyTextPipeline

* Remove unnecessary blank line in README.md

[Quantization] Allow loading TorchAO serialized Tensor objects with torch>=2.6  (#11018)

* update

* update

* update

* update

* update

* update

* update

* update

* update

fix: mixture tiling sdxl pipeline - adjust gerating time_ids & embeddings  (#11012)

small fix on generating time_ids & embeddings

[LoRA] support wan i2v loras from the world. (#11025)

* support wan i2v loras from the world.

* remove copied from.

* upates

* add lora.

Fix SD3 IPAdapter feature extractor (#11027)

chore: fix help messages in advanced diffusion examples (#10923)

Fix missing **kwargs in lora_pipeline.py (#11011)

* Update lora_pipeline.py

* Apply style fixes

* fix-copies

---------

Co-authored-by: hlky <hlky@hlky.ac>
Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com>

Fix for multi-GPU WAN inference (#10997)

Ensure that hidden_state and shift/scale are on the same device when running with multiple GPUs

Co-authored-by: Jimmy <39@πŸ‡ΊπŸ‡Έ.com>

[Refactor] Clean up import utils boilerplate (#11026)

* update

* update

* update

Use `output_size` in `repeat_interleave` (#11030)

[hybrid inference 🍯🐝] Add VAE encode (#11017)

* [hybrid inference 🍯🐝] Add VAE encode

* _toctree: add vae encode

* Add endpoints, tests

* vae_encode docs

* vae encode benchmarks

* api reference

* changelog

* Update docs/source/en/hybrid_inference/overview.md

Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>

* update

---------

Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>

Wan Pipeline scaling fix, type hint warning, multi generator fix (#11007)

* Wan Pipeline scaling fix, type hint warning, multi generator fix

* Apply suggestions from code review

[LoRA] change to warning from info when notifying the users about a LoRA no-op (#11044)

* move to warning.

* test related changes.

Rename Lumina(2)Text2ImgPipeline -> Lumina(2)Pipeline (#10827)

* Rename Lumina(2)Text2ImgPipeline -> Lumina(2)Pipeline

---------

Co-authored-by: YiYi Xu <yixu310@gmail.com>

making ```formatted_images``` initialization compact (#10801)

compact writing

Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>
Co-authored-by: YiYi Xu <yixu310@gmail.com>

Fix aclnnRepeatInterleaveIntWithDim error on NPU for get_1d_rotary_pos_embed (#10820)

* get_1d_rotary_pos_embed support npu

* Update src/diffusers/models/embeddings.py

---------

Co-authored-by: Kai zheng <kaizheng@KaideMacBook-Pro.local>
Co-authored-by: hlky <hlky@hlky.ac>
Co-authored-by: YiYi Xu <yixu310@gmail.com>

[Tests] restrict memory tests for quanto for certain schemes. (#11052)

* restrict memory tests for quanto for certain schemes.

* Apply suggestions from code review

Co-authored-by: Dhruv Nair <dhruv.nair@gmail.com>

* fixes

* style

---------

Co-authored-by: Dhruv Nair <dhruv.nair@gmail.com>

[LoRA] feat: support non-diffusers wan t2v loras. (#11059)

feat: support non-diffusers wan t2v loras.

[examples/controlnet/train_controlnet_sd3.py] Fixes #11050 - Cast prompt_embeds and pooled_prompt_embeds to weight_dtype to prevent dtype mismatch (#11051)

Fix: dtype mismatch of prompt embeddings in sd3 controlnet training

Co-authored-by: Andreas JΓΆrg <andreasjoerg@MacBook-Pro-von-Andreas-2.fritz.box>
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>

reverts accidental change that removes attn_mask in attn. Improves fl… (#11065)

reverts accidental change that removes attn_mask in attn. Improves flux ptxla by using flash block sizes. Moves encoding outside the for loop.

Co-authored-by: Juan Acevedo <jfacevedo@google.com>

Fix deterministic issue when getting pipeline dtype and device (#10696)

Co-authored-by: Dhruv Nair <dhruv.nair@gmail.com>

[Tests] add requires peft decorator. (#11037)

* add requires peft decorator.

* install peft conditionally.

* conditional deps.

Co-authored-by: DN6 <dhruv.nair@gmail.com>

---------

Co-authored-by: DN6 <dhruv.nair@gmail.com>

CogView4 Control Block (#10809)

* cogview4 control training

---------

Co-authored-by: OleehyO <leehy0357@gmail.com>
Co-authored-by: yiyixuxu <yixu310@gmail.com>

[CI] pin transformers version for benchmarking. (#11067)

pin transformers version for benchmarking.

updates

Fix Wan I2V Quality (#11087)

* fix_wan_i2v_quality

* Update src/diffusers/pipelines/wan/pipeline_wan_i2v.py

Co-authored-by: YiYi Xu <yixu310@gmail.com>

* Update src/diffusers/pipelines/wan/pipeline_wan_i2v.py

Co-authored-by: YiYi Xu <yixu310@gmail.com>

* Update src/diffusers/pipelines/wan/pipeline_wan_i2v.py

Co-authored-by: YiYi Xu <yixu310@gmail.com>

* Update pipeline_wan_i2v.py

---------

Co-authored-by: YiYi Xu <yixu310@gmail.com>
Co-authored-by: hlky <hlky@hlky.ac>

LTX 0.9.5 (#10968)

* update

---------

Co-authored-by: YiYi Xu <yixu310@gmail.com>
Co-authored-by: hlky <hlky@hlky.ac>

make PR GPU tests conditioned on styling. (#11099)

Group offloading improvements (#11094)

update

Fix pipeline_flux_controlnet.py (#11095)

* Fix pipeline_flux_controlnet.py

* Fix style

update readme instructions. (#11096)

Co-authored-by: Juan Acevedo <jfacevedo@google.com>

Resolve stride mismatch in UNet's ResNet to support Torch DDP (#11098)

Modify UNet's ResNet implementation to resolve stride mismatch in Torch's DDP

Fix Group offloading behaviour when using streams (#11097)

* update

* update

Quality options in `export_to_video` (#11090)

* Quality options in `export_to_video`

* make style

improve more.

add placeholders for docstrings.

formatting.

smol fix.

solidify validation and annotation

* Revert "feat: pipeline-level quant config."

This reverts commit 316ff46b76.

* feat: implement pipeline-level quantization config

Co-authored-by: SunMarc <marc@huggingface.co>

* update

* fixes

* fix validation.

* add tests and other improvements.

* add tests

* import quality

* remove prints.

* add docs.

* fixes to docs.

* doc fixes.

* doc fixes.

* add validation to the input quantization_config.

* clarify recommendations.

* docs

* add to ci.

* todo.

---------

Co-authored-by: SunMarc <marc@huggingface.co>
2025-05-09 10:04:44 +05:30
Sayak Paul
fb29132b98 [docs] minor updates to bitsandbytes docs. (#11509)
* minor updates to bitsandbytes docs.

* Apply suggestions from code review
2025-05-06 18:52:18 +05:30
Aryan
1fa5639438 Fix torchao docs typo for fp8 granular quantization (#11473)
update
2025-05-06 07:54:28 +05:30
Sayak Paul
cefa28f449 [docs] Promote AutoModel usage (#11300)
* docs: promote the usage of automodel.

* bitsandbytes

* Apply suggestions from code review

Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>

---------

Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
2025-04-15 09:25:40 +05:30
Dhruv Nair
9add071592 [Quantization] Allow loading TorchAO serialized Tensor objects with torch>=2.6 (#11018)
* update

* update

* update

* update

* update

* update

* update

* update

* update
2025-03-11 10:52:01 +05:30
Dhruv Nair
f5edaa7894 [Quantization] Add Quanto backend (#10756)
* update

* updaet

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* Update docs/source/en/quantization/quanto.md

Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* Update src/diffusers/quantizers/quanto/utils.py

Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>

* update

* update

---------

Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>
2025-03-10 08:33:05 +05:30
Aryan
cd991d1e1a Fix TorchAO related bugs; revert device_map changes (#10371)
* Revert "Add support for sharded models when TorchAO quantization is enabled (#10256)"

This reverts commit 41ba8c0bf6.

* update tests

* udpate

* update

* update

* update device map tests

* apply review suggestions

* update

* make style

* fix

* update docs

* update tests

* update workflow

* update

* improve tests

* allclose tolerance

* Update src/diffusers/models/modeling_utils.py

Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>

* Update tests/quantization/torchao/test_torchao.py

Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>

* improve tests

* fix

* update correct slices

---------

Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>
2024-12-25 15:37:49 +05:30
Sayak Paul
6a970a45c5 [docs] fix: torchao example. (#10278)
fix: torchao example.
2024-12-23 11:03:50 +05:30
Sayak Paul
d41388145e [Docs] Update gguf.md to remove generator from the pipeline from_pretrained (#10299)
Update gguf.md to remove generator from the pipeline from_pretrained
2024-12-21 07:15:03 +05:30
Steven Liu
7d4db57037 [docs] Fix quantization links (#10323)
Update overview.md
2024-12-20 08:30:21 -08:00
Dhruv Nair
b389f339ec Fix Doc links in GGUF and Quantization overview docs (#10279)
* update

* Update docs/source/en/quantization/gguf.md

Co-authored-by: Aryan <aryan@huggingface.co>

---------

Co-authored-by: Aryan <aryan@huggingface.co>
2024-12-18 18:32:36 +05:30
Dhruv Nair
e24941b2a7 [Single File] Add GGUF support (#9964)
* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* Update src/diffusers/quantizers/gguf/utils.py

Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* Update docs/source/en/quantization/gguf.md

Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>

* update

* update

* update

* update

---------

Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
2024-12-17 16:09:37 +05:30
Aryan
9f00c617a0 [core] TorchAO Quantizer (#10009)
* torchao quantizer


---------

Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
2024-12-16 13:35:40 -10:00
Aritra Roy Gosthipaty
bf64b32652 [Guide] Quantize your Diffusion Models with bnb (#10012)
* chore: initial draft

* Apply suggestions from code review

Co-authored-by: Pedro Cuenca <pedro@huggingface.co>
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>

* chore: link in place

* chore: review suggestions

* Apply suggestions from code review

Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>

* chore: review suggestions

* Update docs/source/en/quantization/bitsandbytes.md

Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>

* review suggestions

* chore: review suggestions

* Apply suggestions from code review

Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>

* adding same changes to 4 bit section

* review suggestions

---------

Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>
Co-authored-by: Pedro Cuenca <pedro@huggingface.co>
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
2024-12-05 13:54:03 -08:00
Sayak Paul
60ffa84253 [bitsandbbytes] follow-ups (#9730)
* bnb follow ups.

* add a warning when dtypes mismatch.

* fx-copies

* clear cache.

* check_if_quantized_param

* add a check on shape.

* updates

* docs

* improve readability.

* resources.

* fix
2024-10-22 16:00:05 +05:30
Sayak Paul
b821f006d0 [Quantization] Add quantization support for bitsandbytes (#9213)
* 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: yiyixuxu <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 c55a50a271.

* 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 5799954dd4.

* tests

* don

* Apply suggestions from code review

Co-authored-by: Steven 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: YiYi Xu <yixu310@gmail.com>

* mitigate the confusing cpu warning

---------

Co-authored-by: Vishnu V Jaddipal <95531133+Gothos@users.noreply.github.com>
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
Co-authored-by: YiYi Xu <yixu310@gmail.com>
2024-10-21 10:11:57 +05:30