GitLab

* update

* Update docs/source/en/using-diffusers/schedulers.md
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>

* Update schedulers.md

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

* draft

* fix

* fix

* feedback

* feedback

fix single_file example.

* update

* update

* update docs

* add resolution changes tests to hotswapping test suite.

* fixes

* docs

* explain duck shapes

* fix

fix

* support flux kontext

* make fix-copies

* add example

* add tests

* update docs

* update

* add note on integrity checker

* initial commit

* initial commit

* add readme section and fixes in the training script.

* add test

* rectify ckpt_id

* fix ckpt

* fixes

* change id

* update

* Update examples/dreambooth/train_dreambooth_lora_flux_kontext.py
Co-authored-by: Aryan <aryan@huggingface.co>

* Update examples/dreambooth/README_flux.md

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* support flux kontext

* make fix-copies

* add example

* add tests

* update docs

* update

* add note on integrity checker

* make fix-copies issue

* add copied froms

* make style

* update repository ids

* more copied froms

* add test for checking compile on different shapes.

* update

* update

* Apply suggestions from code review
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* [rfc][compile] compile method for DiffusionPipeline

* Apply suggestions from code review
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* Apply style fixes

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

* check

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* minor cleanups in the lora docs.

* Apply suggestions from code review
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* format docs

* fix copies

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draft

draft
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* draft

* feedback

* update

* feedback

* fix

* feedback

* feedback

* fix

* feedback

* update

* update

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* start implementing disk offloading in group.

* delete diff file.

* updates.patch

* offload_to_disk_path

* check if safetensors already exist.

* add test and clarify.

* updates

* update todos.

* update more docs.

* update docs

update

* 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
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* 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.

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* 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: Dhruv Nair <dhruv.nair@gmail.com>

* do_cfg -> self.do_classifier_free_guidance

* Update docs/source/en/api/models/chroma_transformer.md
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* 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: Dhruv 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

---------
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* support text-to-image

* update example

* make fix-copies

* support use_flow_sigmas in EDM scheduler instead of maintain cosmos-specific scheduler

* support video-to-world

* update

* rename text2image pipeline

* make fix-copies

* add t2i test

* add test for v2w pipeline

* support edm dpmsolver multistep

* update

* update

* update

* update tests

* fix tests

* safety checker

* make conversion script work without guardrail

* mention fp8 benefits on supported hardware.

* Update docs/source/en/quantization/torchao.md
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>

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* add compilation bits to the bitsandbytes docs.

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

* finish

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* initial support

* make fix-copies

* fix no split modules

* add conversion script

* refactor

* add pipeline test

* refactor

* fix bug with mask

* fix for reference images

* remove print

* update docs

* update slices

* update

* update

* update example

* initial

* update

* hunyuanvideo

* ltx

* fix

* wan

* gen guide

* feedback

* feedback

* pipeline-level quant config

* feedback

* ltx

* cache

* feedback

update torchao doc link

Bug: Fixed Image 2 Image example where a PIL.Image was improperly being asked for an item via index.

* combine

* Update docs/source/en/optimization/fp16.md
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>

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* sana sprint img2img

* fix import

* fix name

* fix image encoding

* fix image encoding

* fix image encoding

* fix image encoding

* fix image encoding

* fix image encoding

* try w/o strength

* try scaling differently

* try with strength

* revert unnecessary changes to scheduler

* revert unnecessary changes to scheduler

* Apply style fixes

* remove comment

* add copy statements

* add copy statements

* add to doc

* add to doc

* add to doc

* add to doc

* Apply style fixes

* empty commit

* fix copies

* fix copies

* fix copies

* fix copies

* fix copies

* docs

* make fix-copies.

* fix doc building error.

* initial commit - add img2img test

* initial commit - add img2img test

* fix import

* fix imports

* Apply style fixes

* empty commit

* remove

* empty commit

* test vocab size

* fix

* fix prompt missing from last commits

* small changes

* fix image processing when input is tensor

* fix order

* Apply style fixes

* empty commit

* fix shape

* remove comment

* image processing

* remove comment

* skip vae tiling test for now

* Apply style fixes

* empty commit

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refactor

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

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

* fix invalid link lora.md

* fix invalid link controlnet_sdxl.md

The Hugging Face models page now uses the tags parameter instead of the other parameter for tag-based filtering. Therefore, to simultaneously apply both the "Stable Diffusion XL" and "ControlNet" tags, the following URL should be used: https://huggingface.co/models?tags=stable-diffusion-xl,controlnet

* fix invalid link cosine_dpm.md

"https://github.com/Stability-AI/stable-audio-tool" -> "https://github.com/Stability-AI/stable-audio-tools

"

* Update controlnet_sdxl.md

* Update cosine_dpm.md

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

* add guidance rescale

* update docs

* support adaptive instance norm filter

* fix custom timesteps support

* add custom timestep example to docs

* add a note about best generation settings being available only in the original repository

* use original org hub ids instead of personal

* make fix-copies

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* Use HF Papers

* Apply style fixes

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* tip for group offloding + quantization
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* Apply suggestions from code review
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Co-authored-by: Aryan <aryan@huggingface.co>

Update docs/source/en/using-diffusers/inpaint.md

* add regional compilation docs.

* minor.

* reviwer feedback.

* Update docs/source/en/optimization/torch2.0.md
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* update

* update

* update

* update

* update

* update

* update