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  1. 09 Sep, 2023 1 commit
  2. 07 Sep, 2023 1 commit
  3. 06 Sep, 2023 1 commit
    • Kashif Rasul's avatar
      Würstchen model (#3849) · 541bb6ee
      Kashif Rasul authored
      
      
      * initial
      
      * initial
      
      * added initial convert script for paella vqmodel
      
      * initial wuerstchen pipeline
      
      * add LayerNorm2d
      
      * added modules
      
      * fix typo
      
      * use model_v2
      
      * embed clip caption amd negative_caption
      
      * fixed name of var
      
      * initial modules in one place
      
      * WuerstchenPriorPipeline
      
      * inital shape
      
      * initial denoising prior loop
      
      * fix output
      
      * add WuerstchenPriorPipeline to __init__.py
      
      * use the noise ratio in the Prior
      
      * try to save pipeline
      
      * save_pretrained working
      
      * Few additions
      
      * add _execution_device
      
      * shape is int
      
      * fix batch size
      
      * fix shape of ratio
      
      * fix shape of ratio
      
      * fix output dataclass
      
      * tests folder
      
      * fix formatting
      
      * fix float16 + started with generator
      
      * Update pipeline_wuerstchen.py
      
      * removed vqgan code
      
      * add WuerstchenGeneratorPipeline
      
      * fix WuerstchenGeneratorPipeline
      
      * fix docstrings
      
      * fix imports
      
      * convert generator pipeline
      
      * fix convert
      
      * Work on Generator Pipeline. WIP
      
      * Pipeline works with our diffuzz code
      
      * apply scale factor
      
      * removed vqgan.py
      
      * use cosine schedule
      
      * redo the denoising loop
      
      * Update src/diffusers/models/resnet.py
      Co-authored-by: default avatarPatrick von Platen <patrick.v.platen@gmail.com>
      
      * use torch.lerp
      
      * use warp-diffusion org
      
      * clip_sample=False,
      
      * some refactoring
      
      * use model_v3_stage_c
      
      * c_cond size
      
      * use clip-bigG
      
      * allow stage b clip to be None
      
      * add dummy
      
      * würstchen scheduler
      
      * minor changes
      
      * set clip=None in the pipeline
      
      * fix attention mask
      
      * add attention_masks to text_encoder
      
      * make fix-copies
      
      * add back clip
      
      * add text_encoder
      
      * gen_text_encoder and tokenizer
      
      * fix import
      
      * updated pipeline test
      
      * undo changes to pipeline test
      
      * nip
      
      * fix typo
      
      * fix output name
      
      * set guidance_scale=0 and remove diffuze
      
      * fix doc strings
      
      * make style
      
      * nip
      
      * removed unused
      
      * initial docs
      
      * rename
      
      * toc
      
      * cleanup
      
      * remvoe test script
      
      * fix-copies
      
      * fix multi images
      
      * remove dup
      
      * remove unused modules
      
      * undo changes for debugging
      
      * no  new line
      
      * remove dup conversion script
      
      * fix doc string
      
      * cleanup
      
      * pass default args
      
      * dup permute
      
      * fix some tests
      
      * fix prepare_latents
      
      * move Prior class to modules
      
      * offload only the text encoder and vqgan
      
      * fix resolution calculation for prior
      
      * nip
      
      * removed testing script
      
      * fix shape
      
      * fix argument to set_timesteps
      
      * do not change .gitignore
      
      * fix resolution calculations + readme
      
      * resolution calculation fix + readme
      
      * small fixes
      
      * Add combined pipeline
      
      * rename generator -> decoder
      
      * Update .gitignore
      Co-authored-by: default avatarPatrick von Platen <patrick.v.platen@gmail.com>
      
      * removed efficient_net
      
      * create combined WuerstchenPipeline
      
      * make arguments consistent with VQ model
      
      * fix var names
      
      * no need to return text_encoder_hidden_states
      
      * add latent_dim_scale to config
      
      * split model into its own file
      
      * add WuerschenPipeline to docs
      
      * remove unused latent_size
      
      * register latent_dim_scale
      
      * update script
      
      * update docstring
      
      * use Attention preprocessor
      
      * concat with normed input
      
      * fix-copies
      
      * add docs
      
      * fix test
      
      * fix style
      
      * add to cpu_offloaded_model
      
      * updated type
      
      * remove 1-line func
      
      * updated type
      
      * initial decoder test
      
      * formatting
      
      * formatting
      
      * fix autodoc link
      
      * num_inference_steps is int
      
      * remove comments
      
      * fix example in docs
      
      * Update src/diffusers/pipelines/wuerstchen/diffnext.py
      Co-authored-by: default avatarPatrick von Platen <patrick.v.platen@gmail.com>
      
      * rename layernorm to WuerstchenLayerNorm
      
      * rename DiffNext to WuerstchenDiffNeXt
      
      * added comment about MixingResidualBlock
      
      * move paella vq-vae to pipelines' folder
      
      * initial decoder test
      
      * increased test_float16_inference expected diff
      
      * self_attn is always true
      
      * more passing decoder tests
      
      * batch image_embeds
      
      * fix failing tests
      
      * set the correct dtype
      
      * relax inference test
      
      * update prior
      
      * added combined pipeline test
      
      * faster test
      
      * faster test
      
      * Update src/diffusers/pipelines/wuerstchen/pipeline_wuerstchen_combined.py
      Co-authored-by: default avatarPatrick von Platen <patrick.v.platen@gmail.com>
      
      * fix issues from review
      
      * update wuerstchen.md + change generator name
      
      * resolve issues
      
      * fix copied from usage and add back batch_size
      
      * fix API
      
      * fix arguments
      
      * fix combined test
      
      * Added timesteps argument + fixes
      
      * Update tests/pipelines/test_pipelines_common.py
      Co-authored-by: default avatarPatrick von Platen <patrick.v.platen@gmail.com>
      
      * Update tests/pipelines/wuerstchen/test_wuerstchen_prior.py
      Co-authored-by: default avatarPatrick von Platen <patrick.v.platen@gmail.com>
      
      * Update src/diffusers/pipelines/wuerstchen/pipeline_wuerstchen_combined.py
      Co-authored-by: default avatarPatrick von Platen <patrick.v.platen@gmail.com>
      
      * Update src/diffusers/pipelines/wuerstchen/pipeline_wuerstchen_combined.py
      Co-authored-by: default avatarPatrick von Platen <patrick.v.platen@gmail.com>
      
      * Update src/diffusers/pipelines/wuerstchen/pipeline_wuerstchen_combined.py
      Co-authored-by: default avatarPatrick von Platen <patrick.v.platen@gmail.com>
      
      * Update src/diffusers/pipelines/wuerstchen/pipeline_wuerstchen_combined.py
      
      * up
      
      * Fix more
      
      * failing tests
      
      * up
      
      * up
      
      * correct naming
      
      * correct docs
      
      * correct docs
      
      * fix test params
      
      * correct docs
      
      * fix classifier free guidance
      
      * fix classifier free guidance
      
      * fix more
      
      * fix all
      
      * make tests faster
      
      ---------
      Co-authored-by: default avatarDominic Rampas <d6582533@gmail.com>
      Co-authored-by: default avatarPatrick von Platen <patrick.v.platen@gmail.com>
      Co-authored-by: default avatarDominic Rampas <61938694+dome272@users.noreply.github.com>
      541bb6ee
  4. 05 Sep, 2023 2 commits
  5. 04 Sep, 2023 2 commits
  6. 02 Sep, 2023 2 commits
  7. 01 Sep, 2023 5 commits
  8. 30 Aug, 2023 1 commit
    • Sayak Paul's avatar
      [Core] refactor encode_prompt (#4617) · 3768d4d7
      Sayak Paul authored
      
      
      * refactoring of encode_prompt()
      
      * better handling of device.
      
      * fix: device determination
      
      * fix: device determination 2
      
      * handle num_images_per_prompt
      
      * revert changes in loaders.py and give birth to encode_prompt().
      
      * minor refactoring for encode_prompt()/
      
      * make backward compatible.
      
      * Apply suggestions from code review
      Co-authored-by: default avatarPatrick von Platen <patrick.v.platen@gmail.com>
      
      * fix: concatenation of the neg and pos embeddings.
      
      * incorporate encode_prompt() in test_stable_diffusion.py
      
      * turn it into big PR.
      
      * make it bigger
      
      * gligen fixes.
      
      * more fixes to fligen
      
      * _encode_prompt -> encode_prompt in tests
      
      * first batch
      
      * second batch
      
      * fix blasphemous mistake
      
      * fix
      
      * fix: hopefully for the final time.
      
      ---------
      Co-authored-by: default avatarPatrick von Platen <patrick.v.platen@gmail.com>
      3768d4d7
  9. 29 Aug, 2023 2 commits
  10. 28 Aug, 2023 4 commits
  11. 26 Aug, 2023 1 commit
    • Sayak Paul's avatar
      [Core] Support negative conditions in SDXL (#4774) · 3be0ff90
      Sayak Paul authored
      * add: support negative conditions.
      
      * fix: key
      
      * add: tests
      
      * address PR feedback.
      
      * add documentation
      
      * add img2img support.
      
      * add inpainting support.
      
      * ad controlnet support
      
      * Apply suggestions from code review
      
      * modify wording in the doc.
      3be0ff90
  12. 25 Aug, 2023 4 commits
  13. 24 Aug, 2023 2 commits
  14. 22 Aug, 2023 2 commits
  15. 21 Aug, 2023 1 commit
    • Sanchit Gandhi's avatar
      Add AudioLDM 2 (#4549) · 7a24977c
      Sanchit Gandhi authored
      
      
      * from audioldm
      
      * unet down + mid
      
      * vae, clap, flan-t5
      
      * start sequence audio mae
      
      * iterate on audioldm encoder
      
      * finish encoder
      
      * finish weight conversion
      
      * text pre-processing
      
      * gpt2 pre-processing
      
      * fix projection model
      
      * working
      
      * unet equivalence
      
      * finish in base
      
      * add unet cond
      
      * finish unet
      
      * finish custom unet
      
      * start clean-up
      
      * revert base unet changes
      
      * refactor pre-processing
      
      * tests: from audioldm
      
      * fix some tests
      
      * more fixes
      
      * iterate on tests
      
      * make fix copies
      
      * harden fast tests
      
      * slow integration tests
      
      * finish tests
      
      * update checkpoint
      
      * update copyright
      
      * docs
      
      * remove outdated method
      
      * add docstring
      
      * make style
      
      * remove decode latents
      
      * enable cpu offload
      
      * (text_encoder_1, tokenizer_1) -> (text_encoder, tokenizer)
      
      * more clean up
      
      * more refactor
      
      * build pr docs
      
      * Update docs/source/en/api/pipelines/audioldm2.md
      Co-authored-by: default avatarSayak Paul <spsayakpaul@gmail.com>
      
      * small clean
      
      * tidy conversion
      
      * update for large checkpoint
      
      * generate -> generate_language_model
      
      * full clap model
      
      * shrink clap-audio in tests
      
      * fix large integration test
      
      * fix fast tests
      
      * use generation config
      
      * make style
      
      * update docs
      
      * finish docs
      
      * finish doc
      
      * update tests
      
      * fix last test
      
      * syntax
      
      * finalise tests
      
      * refactor projection model in prep for TTS
      
      * fix fast tests
      
      * style
      
      ---------
      Co-authored-by: default avatarSayak Paul <spsayakpaul@gmail.com>
      7a24977c
  16. 17 Aug, 2023 2 commits
  17. 16 Aug, 2023 2 commits
    • Sayak Paul's avatar
      [Core] feat: MultiControlNet support for SDXL ControlNet pipeline (#4597) · 50495991
      Sayak Paul authored
      * core: add multicontrolnet support to sdxl controlnet
      
      * modify checks.
      
      * fix: original_size determination
      
      * add: tests for multi controlnet sdxl.
      
      * remove unnecessary prints.
      50495991
    • nikhil-masterful's avatar
      Add GLIGEN implementation (#4441) · da5ab51d
      nikhil-masterful authored
      * Add GLIGEN implementation
      
      * GLIGEN: Fix code quality check failures
      
      * GLIGEN: Fix Import block un-sorted or un-formatted failures
      
      * GLIGEN: Fix check_repository_consistency failures
      
      * GLIGEN: Add 'PositionNet' to versatile_diffusion/modeling_text_unet.py
      
      * GLIGEN: check_repository_consistency: fix 'copy does not match' error
      
      * GLIGEN: Fix review comments (1)
      
      * GLIGEN: Fix E721 Do not compare types, use `isinstance()` failures
      
      * GLIGEN : Ensure _encode_prompt() copy matches to StableDiffusionPipeline
      
      * GLIGEN: Fix ruff E721 failure in unidiffuser/test_unidiffuser.py
      
      * GLIGEN: doc_builder: restyle pipeline_stable_diffusion_gligen.py
      
      * GIGLEN: reset files unrelated to gligen
      
      * GLIGEN: Fix documentation comments (1)
      
      * GLIGEN: Fix review comments (2)
      
      * GLIGEN: Added FastTest
      
      * GLIGEN: Fix review comments (3)
      da5ab51d
  18. 15 Aug, 2023 1 commit
  19. 11 Aug, 2023 1 commit
  20. 09 Aug, 2023 2 commits
  21. 07 Aug, 2023 1 commit