Skip to content

GitLab

Switch branch/tag
  1. 10 Mar, 2025 1 commit
  3. 02 Mar, 2025 1 commit
    • 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
  5. 25 Feb, 2025 1 commit
  7. 21 Jan, 2025 1 commit
  9. 15 Jan, 2025 1 commit
  11. 14 Jan, 2025 1 commit
    • Marc Sun's avatar
      [FEAT] DDUF format (#10037) · fbff43ac
      Marc Sun authored 
      

* load and save dduf archive

* style

* switch to zip uncompressed

* updates

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

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

* first draft

* remove print

* switch to dduf_file for consistency

* switch to huggingface hub api

* fix log

* add a basic test

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

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

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

* fix

* fix variant

* change saving logic

* DDUF - Load transformers components manually (#10171)

* update hfh version

* Load transformers components manually

* load encoder from_pretrained with state_dict

* working version with transformers and tokenizer !

* add generation_config case

* fix tests

* remove saving for now

* typing

* need next version from transformers

* Update src/diffusers/configuration_utils.py
Co-authored-by: default avatarLucain <lucain@huggingface.co>

* check path corectly

* Apply suggestions from code review
Co-authored-by: default avatarLucain <lucain@huggingface.co>

* udapte

* typing

* remove check for subfolder

* quality

* revert setup changes

* oups

* more readable condition

* add loading from the hub test

* add basic docs.

* Apply suggestions from code review
Co-authored-by: default avatarLucain <lucain@huggingface.co>

* add example

* add

* make functions private

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

* minor.

* fixes

* fix

* change the precdence of parameterized.

* error out when custom pipeline is passed with dduf_file.

* updates

* fix

* updates

* fixes

* updates

* fix xfail condition.

* fix xfail

* fixes

* sharded checkpoint compat

* add test for sharded checkpoint

* add suggestions

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

* from suggestions

* add class attributes to flag dduf tests

* last one

* fix logic

* remove comment

* revert changes

---------
Co-authored-by: default avatarSayak Paul <spsayakpaul@gmail.com>
Co-authored-by: default avatarLucain <lucain@huggingface.co>
Co-authored-by: default avatarSteven Liu <59462357+stevhliu@users.noreply.github.com>
Co-authored-by: default avatarYiYi Xu <yixu310@gmail.com>
      fbff43ac
  13. 17 Dec, 2024 1 commit
  15. 16 Dec, 2024 1 commit
  17. 06 Dec, 2024 1 commit
  19. 21 Oct, 2024 1 commit
    • Sayak Paul's avatar
      [Quantization] Add quantization support for `bitsandbytes` (#9213) · b821f006
      Sayak Paul authored 
      * quantization config.

* fix-copies

* fix

* modules_to_not_convert

* add bitsandbytes utilities.

* make progress.

* fixes

* quality

* up

* up

rotary embedding refactor 2: update comments, fix dtype for use_real=False (#9312)

fix notes and dtype

up

up

* minor

* up

* up

* fix

* provide credits where due.

* make configurations work.

* fixes

* fix

* update_missing_keys

* fix

* fix

* make it work.

* fix

* provide credits to transformers.

* empty commit

* handle to() better.

* tests

* change to bnb from bitsandbytes

* fix tests

fix slow quality tests

SD3 remark

fix

complete int4 tests

add a readme to the test files.

add model cpu offload tests

warning test

* better safeguard.

* change merging status

* courtesy to transformers.

* move  upper.

* better

* make the unused kwargs warning friendlier.

* harmonize changes with https://github.com/huggingface/transformers/pull/33122



* style

* trainin tests

* feedback part i.

* Add Flux inpainting and Flux Img2Img (#9135)

---------
Co-authored-by: default avataryiyixuxu <yixu310@gmail.com>

Update `UNet2DConditionModel`'s error messages (#9230)

* refactor

[CI] Update Single file Nightly Tests (#9357)

* update

* update

feedback.

improve README for flux dreambooth lora (#9290)

* improve readme

* improve readme

* improve readme

* improve readme

fix one uncaught deprecation warning for accessing vae_latent_channels in VaeImagePreprocessor (#9372)

deprecation warning vae_latent_channels

add mixed int8 tests and more tests to nf4.

[core] Freenoise memory improvements (#9262)

* update

* implement prompt interpolation

* make style

* resnet memory optimizations

* more memory optimizations; todo: refactor

* update

* update animatediff controlnet with latest changes

* refactor chunked inference changes

* remove print statements

* update

* chunk -> split

* remove changes from incorrect conflict resolution

* remove changes from incorrect conflict resolution

* add explanation of SplitInferenceModule

* update docs

* Revert "update docs"

This reverts commit c55a50a271b2cefa8fe340a4f2a3ab9b9d374ec0.

* update docstring for freenoise split inference

* apply suggestions from review

* add tests

* apply suggestions from review

quantization docs.

docs.

* Revert "Add Flux inpainting and Flux Img2Img (#9135)"

This reverts commit 5799954dd4b3d753c7c1b8d722941350fe4f62ca.

* tests

* don

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

* contribution guide.

* changes

* empty

* fix tests

* harmonize with https://github.com/huggingface/transformers/pull/33546

.

* numpy_cosine_distance

* config_dict modification.

* remove if config comment.

* note for load_state_dict changes.

* float8 check.

* quantizer.

* raise an error for non-True low_cpu_mem_usage values when using quant.

* low_cpu_mem_usage shenanigans when using fp32 modules.

* don't re-assign _pre_quantization_type.

* make comments clear.

* remove comments.

* handle mixed types better when moving to cpu.

* add tests to check if we're throwing warning rightly.

* better check.

* fix 8bit test_quality.

* handle dtype more robustly.

* better message when keep_in_fp32_modules.

* handle dtype casting.

* fix dtype checks in pipeline.

* fix warning message.

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

* mitigate the confusing cpu warning

---------
Co-authored-by: default avatarVishnu V Jaddipal <95531133+Gothos@users.noreply.github.com>
Co-authored-by: default avatarSteven Liu <59462357+stevhliu@users.noreply.github.com>
Co-authored-by: default avatarYiYi Xu <yixu310@gmail.com>
      b821f006
  21. 05 Aug, 2024 1 commit
  23. 30 Jul, 2024 1 commit
    • Aryan's avatar
      [core] Move community AnimateDiff ControlNet to core (#8972) · e5b94b4c
      Aryan authored 
      

* add animatediff controlnet to core

* make style; remove unused method

* fix copied from comment

* add tests

* changes to make tests work

* add utility function to load videos

* update docs

* update pipeline example

* make style

* update docs with example

* address review comments

* add latest freeinit test from #8969

* LoraLoaderMixin -> StableDiffusionLoraLoaderMixin

* fix docs

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

* fix: variable out of scope

---------
Co-authored-by: default avatarDhruv Nair <dhruv.nair@gmail.com>
      e5b94b4c
  25. 23 Jul, 2024 1 commit
    • Tolga Cangöz's avatar
      Fix Colab and Notebook checks for `diffusers-cli env` (#8408) · cf55dcf0
      Tolga Cangöz authored 
      

* chore: Update is_google_colab check to use environment variable

* Check Colab with all possible COLAB_* env variables

* Remove unnecessary word

* Make `_is_google_colab` more inclusive

* Revert "Make `_is_google_colab` more inclusive"

This reverts commit 6406db21ac46139c20ccae20ccb44877eec87ba7.

* Make `_is_google_colab` more inclusive.

* chore: Update import_utils.py with notebook check improvement

* Refactor import_utils.py to improve notebook detection for VS Code's notebook

* chore: Remove `is_notebook()` function and related code

---------
Co-authored-by: default avatarSayak Paul <spsayakpaul@gmail.com>
      cf55dcf0
  27. 07 Jun, 2024 1 commit
    • Sayak Paul's avatar
      [Core] support saving and loading of sharded checkpoints (#7830) · 7d887118
      Sayak Paul authored 
      

* feat: support saving a model in sharded checkpoints.

* feat: make loading of sharded checkpoints work.

* add tests

* cleanse the loading logic a bit more.

* more resilience while loading from the Hub.

* parallelize shard downloads by using snapshot_download()/

* default to a shard size.

* more fix

* Empty-Commit

* debug

* fix

* uality

* more debugging

* fix more

* initial comments from Benjamin

* move certain methods to loading_utils

* add test to check if the correct number of shards are present.

* add a test to check if loading of sharded checkpoints from the Hub is okay

* clarify the unit when passed as an int.

* use hf_hub for sharding.

* remove unnecessary code

* remove unnecessary function

* lucain's comments.

* fixes

* address high-level comments.

* fix test

* subfolder shenanigans./

* Update src/diffusers/utils/hub_utils.py
Co-authored-by: default avatarLucain <lucainp@gmail.com>

* Apply suggestions from code review
Co-authored-by: default avatarLucain <lucainp@gmail.com>

* remove _huggingface_hub_version as not needed.

* address more feedback.

* add a test for local_files_only=True/

* need hf hub to be at least 0.23.2

* style

* final comment.

* clean up subfolder.

* deal with suffixes in code.

* _add_variant default.

* use weights_name_pattern

* remove add_suffix_keyword

* clean up downloading of sharded ckpts.

* don't return something special when using index.json

* fix more

* don't use bare except

* remove comments and catch the errors better

* fix a couple of things when using is_file()

* empty

---------
Co-authored-by: default avatarLucain <lucainp@gmail.com>
      7d887118
  29. 27 May, 2024 1 commit
    • Anton Obukhov's avatar
      [Pipeline] Marigold depth and normals estimation (#7847) · b3d10d6d
      Anton Obukhov authored 
      

* implement marigold depth and normals pipelines in diffusers core

* remove bibtex

* remove deprecations

* remove save_memory argument

* remove validate_vae

* remove config output

* remove batch_size autodetection

* remove presets logic
move default denoising_steps and processing_resolution into the model config
make default ensemble_size 1

* remove no_grad

* add fp16 to the example usage

* implement is_matplotlib_available
use is_matplotlib_available, is_scipy_available for conditional imports in the marigold depth pipeline

* move colormap, visualize_depth, and visualize_normals into export_utils.py

* make the denoising loop more lucid
fix the outputs to always be 4d tensors or lists of pil images
support a 4d input_image case
attempt to support model_cpu_offload_seq
move check_inputs into a separate function
change default batch_size to 1, remove any logic to make it bigger implicitly

* style

* rename denoising_steps into num_inference_steps

* rename input_image into image

* rename input_latent into latents

* remove decode_image
change decode_prediction to use the AutoencoderKL.decode method

* move clean_latent outside of progress_bar

* refactor marigold-reusable image processing bits into MarigoldImageProcessor class

* clean up the usage example docstring

* make ensemble functions members of the pipelines

* add early checks in check_inputs
rename E into ensemble_size in depth ensembling

* fix vae_scale_factor computation

* better compatibility with torch.compile
better variable naming

* move export_depth_to_png to export_utils

* remove encode_prediction

* improve visualize_depth and visualize_normals to accept multi-dimensional data and lists
remove visualization functions from the pipelines
move exporting depth as 16-bit PNGs functionality from the depth pipeline
update example docstrings

* do not shortcut vae.config variables

* change all asserts to raise ValueError

* rename output_prediction_type to output_type

* better variable names
clean up variable deletion code

* better variable names

* pass desc and leave kwargs into the diffusers progress_bar
implement nested progress bar for images and steps loops

* implement scale_invariant and shift_invariant flags in the ensemble_depth function
add scale_invariant and shift_invariant flags readout from the model config
further refactor ensemble_depth
support ensembling without alignment
add ensemble_depth docstring

* fix generator device placement checks

* move encode_empty_text body into the pipeline call

* minor empty text encoding simplifications

* adjust pipelines' class docstrings to explain the added construction arguments

* improve the scipy failure condition
add comments
improve docstrings
change the default use_full_z_range to True

* make input image values range check configurable in the preprocessor
refactor load_image_canonical in preprocessor to reject unknown types and return the image in the expected 4D format of tensor and on right device
support a list of everything as inputs to the pipeline, change type to PipelineImageInput
implement a check that all input list elements have the same dimensions
improve docstrings of pipeline outputs
remove check_input pipeline argument

* remove forgotten print

* add prediction_type model config

* add uncertainty visualization into export utils
fix NaN values in normals uncertainties

* change default of output_uncertainty to False
better handle the case of an attempt to export or visualize none

* fix `output_uncertainty=False`

* remove kwargs
fix check_inputs according to the new inputs of the pipeline

* rename prepare_latent into prepare_latents as in other pipelines
annotate prepare_latents in normals pipeline with "Copied from"
annotate encode_image in normals pipeline with "Copied from"

* move nested-capable `progress_bar` method into the pipelines
revert the original `progress_bar` method in pipeline_utils

* minor message improvement

* fix cpu offloading

* move colormap, visualize_depth, export_depth_to_16bit_png, visualize_normals, visualize_uncertainty to marigold_image_processing.py
update example docstrings

* fix missing comma

* change torch.FloatTensor to torch.Tensor

* fix importing of MarigoldImageProcessor

* fix vae offloading
fix batched image encoding
remove separate encode_image function and use vae.encode instead

* implement marigold's intial tests
relax generator checks in line with other pipelines
implement return_dict __call__ argument in line with other pipelines

* fix num_images computation

* remove MarigoldImageProcessor and outputs from import structure
update tests

* update docstrings

* update init

* update

* style

* fix

* fix

* up

* up

* up

* add simple test

* up

* update expected np input/output to be channel last

* move expand_tensor_or_array into the MarigoldImageProcessor

* rewrite tests to follow conventions - hardcoded slices instead of image artifacts
write more smoke tests

* add basic docs.

* add anton's contribution statement

* remove todos.

* fix assertion values for marigold depth slow tests

* fix assertion values for depth normals.

* remove print

* support AutoencoderTiny in the pipelines

* update documentation page
add Available Pipelines section
add Available Checkpoints section
add warning about num_inference_steps

* fix missing import in docstring
fix wrong value in visualize_depth docstring

* [doc] add marigold to pipelines overview

* [doc] add section "usage examples"

* fix an issue with latents check in the pipelines

* add "Frame-by-frame Video Processing with Consistency" section

* grammarly

* replace tables with images with css-styled images (blindly)

* style

* print

* fix the assertions.

* take from the github runner.

* take the slices from action artifacts

* style.

* update with the slices from the runner.

* remove unnecessary code blocks.

* Revert "[doc] add marigold to pipelines overview"

This reverts commit a505165150afd8dab23c474d1a054ea505a56a5f.

* remove invitation for new modalities

* split out marigold usage examples

* doc cleanup

---------
Co-authored-by: default avataryiyixuxu <yixu310@gmail.com>
Co-authored-by: default avataryiyixuxu <yixu310@gmail,com>
Co-authored-by: default avatarsayakpaul <spsayakpaul@gmail.com>
      b3d10d6d
  31. 15 May, 2024 1 commit
    • Isamu Isozaki's avatar
      Adding VQGAN Training script (#5483) · d27e996c
      Isamu Isozaki authored 
      

* Init commit

* Removed einops

* Added default movq config for training

* Update explanation of prompts

* Fixed inheritance of discriminator and init_tracker

* Fixed incompatible api between muse and here

* Fixed output

* Setup init training

* Basic structure done

* Removed attention for quick tests

* Style fixes

* Fixed vae/vqgan styles

* Removed redefinition of wandb

* Fixed log_validation and tqdm

* Nothing commit

* Added commit loss to lookup_from_codebook

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

* Adding perliminary README

* Fixed one typo

* Local changes

* Fixed main issues

* Merging

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

* Testing+Fixed bugs in training script

* Some style fixes

* Added wandb to docs

* Fixed timm test

* get testing suite ready.

* remove return loss

* remove return_loss

* Remove diffs

* Remove diffs

* fix ruff format

---------
Co-authored-by: default avatarSayak Paul <spsayakpaul@gmail.com>
Co-authored-by: default avatarDhruv Nair <dhruv.nair@gmail.com>
      d27e996c
  33. 14 May, 2024 1 commit
    • Tolga Cangöz's avatar
      Expansion proposal of `diffusers-cli env` (#7403) · a1245c2c
      Tolga Cangöz authored 
      

* Expand `diffusers-cli env`

* SafeTensors -> Safetensors
Co-authored-by: default avatarSayak Paul <spsayakpaul@gmail.com>

* Move `safetensors_version = "not installed"` to `else`

* Update `safetensors_version` checking

* Add GPU detection for Linux, Mac OS, and Windows

* Add accelerator detection to environment command

* Add is_peft_version to import_utils

* Update env.py

* Add `huggingface_hub` reference

* Add `transformers` reference

* Add reference for `huggingface_hub`

* Fix print statement in env.py for unusual OS

* Up

* Fix platform information in env.py

* up

* Fix import order in env.py

* ruff

* make style

* Fix platform system check in env.py

* Fix run method return type in env.py

* 🤗



* No need f-string

* Remove location info

* Remove accelerate config

* Refactor env.py to remove accelerate config

* feat: Add support for `bitsandbytes` library in environment command

---------
Co-authored-by: default avatarSayak Paul <spsayakpaul@gmail.com>
Co-authored-by: default avatarDhruv Nair <dhruv.nair@gmail.com>
      a1245c2c
  35. 26 Mar, 2024 1 commit
    • Sayak Paul's avatar
      feat: support DoRA LoRA from community (#7371) · 699dfb08
      Sayak Paul authored 
      * feat: support dora loras from community

* safe-guard dora operations under peft version.

* pop use_dora when False

* make dora lora from kohya work.

* fix: kohya conversion utils.

* add a fast test for DoRA compatibility..

* add a nightly test.
      699dfb08
  37. 09 Mar, 2024 1 commit
  39. 08 Feb, 2024 1 commit
  41. 01 Feb, 2024 1 commit
  43. 23 Jan, 2024 1 commit
    • Dhruv Nair's avatar
      [Refactor] Update from single file (#6428) · fee93c81
      Dhruv Nair authored 
      * update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update'

* update

* update

* update

* update

* update

* update

* up

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* up

* 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

* update

* update

* update

* update

* update

* update

* update

* update

* clean

* update

* update

* clean up

* clean up

* update

* clean

* clean

* update

* updaet

* clean up

* fix docs

* update

* update

* Revert "update"

This reverts commit dbfb8f1ea9c61a2b4e02f926245be2b3d387e577.

* update

* update

* update

* update

* fix controlnet

* fix scheduler

* fix controlnet tests
      fee93c81
  45. 15 Jan, 2024 1 commit
    • Sayak Paul's avatar
      [OmegaConf] replace it with `yaml` (#6488) · cb4b3f0b
      Sayak Paul authored 
      * remove omegaconf from convert_from_ckpt.

* remove from single_file.

* change to string based ubscription.

* style

* okay

* fix: vae_param

* no . indexing.

* style

* style

* turn getattrs into explicit if/else

* style

* propagate changes to ldm_uncond.

* propagate to gligen

* propagate to if.

* fix: quotes.

* propagate to audioldm.

* propagate to audioldm2

* propagate to musicldm.

* propagate to vq_diffusion

* propagate to zero123.

* remove omegaconf from diffusers codebase.
      cb4b3f0b
  47. 30 Dec, 2023 1 commit
  49. 06 Dec, 2023 1 commit
  51. 14 Nov, 2023 1 commit
  53. 13 Oct, 2023 1 commit
  55. 11 Oct, 2023 1 commit
  57. 29 Sep, 2023 1 commit
  59. 27 Sep, 2023 1 commit
  61. 25 Sep, 2023 1 commit
  63. 22 Sep, 2023 1 commit
  65. 11 Sep, 2023 2 commits
    • Patrick von Platen's avatar
      [Core] Remove TF import checks (#4968) · 2c60f7d1
      Patrick von Platen authored 
      [TF] Remove tf
      2c60f7d1
    • Dhruv Nair's avatar
      Lazy Import for Diffusers (#4829) · b6e0b016
      Dhruv Nair authored 
      

* initial commit

* move modules to import struct

* add dummy objects and _LazyModule

* add lazy import to schedulers

* clean up unused imports

* lazy import on models module

* lazy import for schedulers module

* add lazy import to pipelines module

* lazy import altdiffusion

* lazy import audio diffusion

* lazy import audioldm

* lazy import consistency model

* lazy import controlnet

* lazy import dance diffusion ddim ddpm

* lazy import deepfloyd

* lazy import kandinksy

* lazy imports

* lazy import semantic diffusion

* lazy imports

* lazy import stable diffusion

* move sd output to its own module

* clean up

* lazy import t2iadapter

* lazy import unclip

* lazy import versatile and vq diffsuion

* lazy import vq diffusion

* helper to fetch objects from modules

* lazy import sdxl

* lazy import txt2vid

* lazy import stochastic karras

* fix model imports

* fix bug

* lazy import

* clean up

* clean up

* fixes for tests

* fixes for tests

* clean up

* remove import of torch_utils from utils module

* clean up

* clean up

* fix mistake import statement

* dedicated modules for exporting and loading

* remove testing utils from utils module

* fixes from  merge conflicts

* Update src/diffusers/pipelines/kandinsky2_2/__init__.py

* fix docs

* fix alt diffusion copied from

* fix check dummies

* fix more docs

* remove accelerate import from utils module

* add type checking

* make style

* fix check dummies

* remove torch import from xformers check

* clean up error message

* fixes after upstream merges

* dummy objects fix

* fix tests

* remove unused module import

---------
Co-authored-by: default avatarPatrick von Platen <patrick.v.platen@gmail.com>
      b6e0b016
  67. 15 Aug, 2023 1 commit
  69. 12 Aug, 2023 1 commit
  71. 11 Aug, 2023 1 commit
  73. 20 Jul, 2023 1 commit
  75. 09 Jul, 2023 1 commit
    • Will Berman's avatar
      Refactor LoRA (#3778) · c2a28c34
      Will Berman authored 
      

* refactor to support patching LoRA into T5

instantiate the lora linear layer on the same device as the regular linear layer

get lora rank from state dict

tests

fmt

can create lora layer in float32 even when rest of model is float16

fix loading model hook

remove load_lora_weights_ and T5 dispatching

remove Unet#attn_processors_state_dict

docstrings

* text encoder monkeypatch class method

* fix test

---------
Co-authored-by: default avatarPatrick von Platen <patrick.v.platen@gmail.com>
      c2a28c34
  77. 06 Jul, 2023 1 commit
    • YiYi Xu's avatar
      Add Shap-E (#3742) · 45f6d52b
      YiYi Xu authored 
      

* refactor prior_transformer

adding conversion script

add pipeline

add step_index from pipeline, + remove permute

add zero pad token

remove copy from statement for betas_for_alpha_bar function

* add

* add

* update conversion script for renderer model

* refactor camera a little bit

* clean up

* style

* fix copies

* Update src/diffusers/schedulers/scheduling_heun_discrete.py
Co-authored-by: default avatarPatrick von Platen <patrick.v.platen@gmail.com>

* Update src/diffusers/pipelines/shap_e/pipeline_shap_e.py
Co-authored-by: default avatarPatrick von Platen <patrick.v.platen@gmail.com>

* Update src/diffusers/pipelines/shap_e/pipeline_shap_e.py
Co-authored-by: default avatarPatrick von Platen <patrick.v.platen@gmail.com>

* alpha_transform_type

* remove step_index argument

* remove get_sigmas_karras

* remove _yiyi_sigma_to_t

* move the rescale prompt_embeds from prior_transformer to pipeline

* replace baddbmm with einsum to match origial repo

* Revert "replace baddbmm with einsum to match origial repo"

This reverts commit 3f6b435d65dad3e5514cad2f5dd9e4419ca78e0b.

* add step_index to scale_model_input

* Revert "move the rescale prompt_embeds from prior_transformer to pipeline"

This reverts commit 5b5a8e6be918fefd114a2945ed89d8e8fa8be21b.

* move rescale from prior_transformer to pipeline

* correct step_index in scale_model_input

* remove print lines

* refactor prior - reduce arguments

* make style

* add prior_image

* arg embedding_proj_norm -> norm_embedding_proj

* add pre-norm for proj_embedding

* move rescale prompt from pipeline to _encode_prompt

* add img2img pipeline

* style

* copies

* Update src/diffusers/models/prior_transformer.py
Co-authored-by: default avatarPatrick von Platen <patrick.v.platen@gmail.com>

* Update src/diffusers/models/prior_transformer.py
Co-authored-by: default avatarPatrick von Platen <patrick.v.platen@gmail.com>

* Update src/diffusers/models/prior_transformer.py
Co-authored-by: default avatarPatrick von Platen <patrick.v.platen@gmail.com>

* Update src/diffusers/models/prior_transformer.py

add arg: encoder_hid_proj
Co-authored-by: default avatarPatrick von Platen <patrick.v.platen@gmail.com>

* Update src/diffusers/models/prior_transformer.py

add new config: norm_in_type
Co-authored-by: default avatarPatrick von Platen <patrick.v.platen@gmail.com>

* Update src/diffusers/models/prior_transformer.py

add new config: added_emb_type
Co-authored-by: default avatarPatrick von Platen <patrick.v.platen@gmail.com>

* Update src/diffusers/models/prior_transformer.py

rename out_dim -> clip_embed_dim
Co-authored-by: default avatarPatrick von Platen <patrick.v.platen@gmail.com>

* Update src/diffusers/models/prior_transformer.py

rename config: out_dim -> clip_embed_dim
Co-authored-by: default avatarPatrick von Platen <patrick.v.platen@gmail.com>

* Update src/diffusers/models/prior_transformer.py
Co-authored-by: default avatarPatrick von Platen <patrick.v.platen@gmail.com>

* Update src/diffusers/models/prior_transformer.py
Co-authored-by: default avatarPatrick von Platen <patrick.v.platen@gmail.com>

* finish refactor prior_tranformer

* make style

* refactor renderer

* fix

* make style

* refactor img2img

* remove params_proj

* add test

* add upcast_softmax to prior_transformer

* enable num_images_per_prompt, add save_gif utility

* add

* add fast test

* make style

* add slow test

* style

* add test for img2img

* refactor

* enable batching

* style

* refactor scheduler

* update test

* style

* attempt to solve batch related tests timeout

* add doc

* Update src/diffusers/pipelines/shap_e/pipeline_shap_e.py
Co-authored-by: default avatarPatrick von Platen <patrick.v.platen@gmail.com>

* Update src/diffusers/pipelines/shap_e/pipeline_shap_e_img2img.py
Co-authored-by: default avatarPatrick von Platen <patrick.v.platen@gmail.com>

* hardcode rendering related config

* update betas_for_alpha_bar on ddpm_scheduler

* fix copies

* fix

* export_to_gif

* style

* second attempt to speed up batching tests

* add doc page to index

* Remove intermediate clipping

* 3rd attempt to speed up batching tests

* Remvoe time index

* simplify scheduler

* Fix more

* Fix more

* fix more

* make style

* fix schedulers

* fix some more tests

* finish

* add one more test

* Apply suggestions from code review
Co-authored-by: default avatarSayak Paul <spsayakpaul@gmail.com>
Co-authored-by: default avatarPedro Cuenca <pedro@huggingface.co>
Co-authored-by: default avatarPatrick von Platen <patrick.v.platen@gmail.com>

* style

* apply feedbacks

* style

* fix copies

* add one example

* style

* add example for img2img

* fix doc

* fix more doc strings

* size -> frame_size

* style

* update doc

* style

* fix on doc

* update repo name

* improve the usage example in shap-e img2img

* add usage examples in the shap-e docs.

* consolidate examples.

* minor fix.

* update doc

* Apply suggestions from code review

* Apply suggestions from code review

* remove upcast

* Make sure background is white

* Update src/diffusers/pipelines/shap_e/pipeline_shap_e.py

* Apply suggestions from code review

* Finish

* Apply suggestions from code review

* Update src/diffusers/pipelines/shap_e/pipeline_shap_e.py

* Make style

---------
Co-authored-by: default avataryiyixuxu <yixu310@gmail,com>
Co-authored-by: default avatarPatrick von Platen <patrick.v.platen@gmail.com>
Co-authored-by: default avatarSayak Paul <spsayakpaul@gmail.com>
Co-authored-by: default avatarPedro Cuenca <pedro@huggingface.co>
      45f6d52b