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  1. 31 Oct, 2024 2 commits
  3. 30 Oct, 2024 1 commit
  5. 29 Oct, 2024 1 commit
  7. 25 Oct, 2024 4 commits
  9. 23 Oct, 2024 3 commits
  11. 22 Oct, 2024 5 commits
  13. 21 Oct, 2024 6 commits
    • YiYi Xu's avatar
      fix singlestep dpm tests (#9716) · 2d280f17
      YiYi Xu authored 
      

fix
Co-authored-by: default avatarSayak Paul <spsayakpaul@gmail.com>
      2d280f17
    • YiYi Xu's avatar
      minor doc/test update (#9734) · e2d037bb
      YiYi Xu authored 
      

* update some docs and tests!

---------
Co-authored-by: default avatarAryan <contact.aryanvs@gmail.com>
Co-authored-by: default avatarSayak Paul <spsayakpaul@gmail.com>
Co-authored-by: default avatarAryan <aryan@huggingface.co>
Co-authored-by: default avatarapolinário <joaopaulo.passos@gmail.com>
      e2d037bb
    • timdalxx's avatar
      [docs] add docstrings in `pipline_stable_diffusion.py` (#9590) · bcd61fd3
      timdalxx authored 
      

* fix the issue on flux dreambooth lora training

* update : origin main code

* docs: update pipeline_stable_diffusion docstring

* docs: update pipeline_stable_diffusion docstring

* Update src/diffusers/pipelines/stable_diffusion/pipeline_stable_diffusion.py
Co-authored-by: default avatarSteven Liu <59462357+stevhliu@users.noreply.github.com>

* fix: style

* fix: style

* fix: copies

* make fix-copies

* remove extra newline

---------
Co-authored-by: default avatarSteven Liu <59462357+stevhliu@users.noreply.github.com>
Co-authored-by: default avatarAryan <aryan@huggingface.co>
Co-authored-by: default avatarSayak Paul <spsayakpaul@gmail.com>
      bcd61fd3
    • Chenyu Li's avatar
      Fix typo in cogvideo pipeline (#9722) · 6b915672
      Chenyu Li authored 
      Fix type in cogvideo pipeline
      6b915672
    • 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
    • Aryan's avatar
      `make deps_table_update` to fix CI tests (#9720) · 24281f80
      Aryan authored 
      

* update

* dummy change to trigger CI; will revert

* no deps peft

* np deps

* todo

---------
Co-authored-by: default avatarSayak Paul <spsayakpaul@gmail.com>
      24281f80
  15. 19 Oct, 2024 1 commit
  17. 17 Oct, 2024 2 commits
    • Aryan's avatar
      [refactor] DiffusionPipeline.download (#9557) · 5704376d
      Aryan authored 
      

* update

---------
Co-authored-by: default avatarSayak Paul <spsayakpaul@gmail.com>
Co-authored-by: default avatarDhruv Nair <dhruv.nair@gmail.com>
      5704376d
    • Linoy Tsaban's avatar
      [Flux] Add advanced training script + support textual inversion inference (#9434) · 9a7f8246
      Linoy Tsaban authored 
      * add ostris trainer to README & add cache latents of vae

* add ostris trainer to README & add cache latents of vae

* style

* readme

* add test for latent caching

* add ostris noise scheduler
https://github.com/ostris/ai-toolkit/blob/9ee1ef2a0a2a9a02b92d114a95f21312e5906e54/toolkit/samplers/custom_flowmatch_sampler.py#L95

* style

* fix import

* style

* fix tests

* style

* --change upcasting of transformer?

* update readme according to main

* add pivotal tuning for CLIP

* fix imports, encode_prompt call,add TextualInversionLoaderMixin to FluxPipeline for inference

* TextualInversionLoaderMixin support for FluxPipeline for inference

* move changes to advanced flux script, revert canonical

* add latent caching to canonical script

* revert changes to canonical script to keep it separate from https://github.com/huggingface/diffusers/pull/9160

* revert changes to canonical script to keep it separate from https://github.com/huggingface/diffusers/pull/9160

* style

* remove redundant line and change code block placement to align with logic

* add initializer_token arg

* add transformer frac for range support from pure textual inversion to the orig pivotal tuning

* support pure textual inversion - wip

* adjustments to support pure textual inversion and transformer optimization in only part of the epochs

* fix logic when using initializer token

* fix pure_textual_inversion_condition

* fix ti/pivotal loading of last validation run

* remove embeddings loading for ti in final training run (to avoid adding huggingface hub dependency)

* support pivotal for t5

* adapt pivotal for T5 encoder

* adapt pivotal for T5 encoder and support in flux pipeline

* t5 pivotal support + support fo pivotal for clip only or both

* fix param chaining

* fix param chaining

* README first draft

* readme

* readme

* readme

* style

* fix import

* style

* add fix from https://github.com/huggingface/diffusers/pull/9419



* add to readme, change function names

* te lr changes

* readme

* change concept tokens logic

* fix indices

* change arg name

* style

* dummy test

* revert dummy test

* reorder pivoting

* add warning in case the token abstraction is not the instance prompt

* experimental - wip - specific block training

* fix documentation and token abstraction processing

* remove transformer block specification feature (for now)

* style

* fix copies

* fix indexing issue when --initializer_concept has different amounts

* add if TextualInversionLoaderMixin to all flux pipelines

* style

* fix import

* fix imports

* address review comments - remove necessary prints & comments, use pin_memory=True, use free_memory utils, unify warning and prints

* style

* logger info fix

* make lora target modules configurable and change the default

* make lora target modules configurable and change the default

* style

* make lora target modules configurable and change the default, add notes to readme

* style

* add tests

* style

* fix repo id

* add updated requirements for advanced flux

* fix indices of t5 pivotal tuning embeddings

* fix path in test

* remove `pin_memory`

* fix filename of embedding

* fix filename of embedding

---------
Co-authored-by: default avatarSayak Paul <spsayakpaul@gmail.com>
Co-authored-by: default avatarYiYi Xu <yixu310@gmail.com>
      9a7f8246
  19. 16 Oct, 2024 5 commits
  21. 15 Oct, 2024 10 commits