1. 20 Apr, 2023 1 commit
    • nupurkmr9's avatar
      adding custom diffusion training to diffusers examples (#3031) · 3979aac9
      nupurkmr9 authored
      
      
      * diffusers==0.14.0 update
      
      * custom diffusion update
      
      * custom diffusion update
      
      * custom diffusion update
      
      * custom diffusion update
      
      * custom diffusion update
      
      * custom diffusion update
      
      * custom diffusion
      
      * custom diffusion
      
      * custom diffusion
      
      * custom diffusion
      
      * custom diffusion
      
      * apply formatting and get rid of bare except.
      
      * refactor readme and other minor changes.
      
      * misc refactor.
      
      * fix: repo_id issue and loaders logging bug.
      
      * fix: save_model_card.
      
      * fix: save_model_card.
      
      * fix: save_model_card.
      
      * add: doc entry.
      
      * refactor doc,.
      
      * custom diffusion
      
      * custom diffusion
      
      * custom diffusion
      
      * apply style.
      
      * remove tralining whitespace.
      
      * fix: toctree entry.
      
      * remove unnecessary print.
      
      * custom diffusion
      
      * custom diffusion
      
      * custom diffusion test
      
      * custom diffusion xformer update
      
      * custom diffusion xformer update
      
      * custom diffusion xformer update
      
      ---------
      Co-authored-by: default avatarNupur Kumari <nupurkumari@Nupurs-MacBook-Pro.local>
      Co-authored-by: default avatarSayak Paul <spsayakpaul@gmail.com>
      Co-authored-by: default avatarPatrick von Platen <patrick.v.platen@gmail.com>
      Co-authored-by: default avatarNupur Kumari <nupurkumari@nupurs-mbp.wifi.local.cmu.edu>
      3979aac9
  2. 20 Jan, 2023 1 commit
  3. 09 Dec, 2022 1 commit
    • Haofan Wang's avatar
      Update requirements.txt (#1623) · f1b726e4
      Haofan Wang authored
      * Update requirements.txt
      
      * Update requirements_flax.txt
      
      * Update requirements.txt
      
      * Update requirements_flax.txt
      
      * Update requirements.txt
      
      * Update requirements_flax.txt
      f1b726e4
  4. 06 Dec, 2022 1 commit
  5. 27 Oct, 2022 1 commit
  6. 20 Oct, 2022 1 commit
  7. 29 Sep, 2022 1 commit
  8. 27 Sep, 2022 1 commit
  9. 02 Sep, 2022 1 commit
    • Suraj Patil's avatar
      Textual inversion (#266) · d0d3e24e
      Suraj Patil authored
      * add textual inversion script
      
      * make the loop work
      
      * make coarse_loss optional
      
      * save pipeline after training
      
      * add arg pretrained_model_name_or_path
      
      * fix saving
      
      * fix gradient_accumulation_steps
      
      * style
      
      * fix progress bar steps
      
      * scale lr
      
      * add argument to accept style
      
      * remove unused args
      
      * scale lr using num gpus
      
      * load tokenizer using args
      
      * add checks when converting init token to id
      
      * improve commnets and style
      
      * document args
      
      * more cleanup
      
      * fix default adamw arsg
      
      * TextualInversionWrapper -> CLIPTextualInversionWrapper
      
      * fix tokenizer loading
      
      * Use the CLIPTextModel instead of wrapper
      
      * clean dataset
      
      * remove commented code
      
      * fix accessing grads for multi-gpu
      
      * more cleanup
      
      * fix saving on multi-GPU
      
      * init_placeholder_token_embeds
      
      * add seed
      
      * fix flip
      
      * fix multi-gpu
      
      * add utility methods in wrapper
      
      * remove ipynb
      
      * don't use wrapper
      
      * dont pass vae an dunet to accelerate prepare
      
      * bring back accelerator.accumulate
      
      * scale latents
      
      * use only one progress bar for steps
      
      * push_to_hub at the end of training
      
      * remove unused args
      
      * log some important stats
      
      * store args in tensorboard
      
      * pretty comments
      
      * save the trained embeddings
      
      * mobe the script up
      
      * add requirements file
      
      * more cleanup
      
      * fux typo
      
      * begin readme
      
      * style -> learnable_property
      
      * keep vae and unet in eval mode
      
      * address review comments
      
      * address more comments
      
      * removed unused args
      
      * add train command in readme
      
      * update readme
      d0d3e24e
  10. 30 Aug, 2022 1 commit