1. 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
  2. 09 May, 2024 1 commit
    • Dhruv Nair's avatar
      [Refactor] Better align `from_single_file` logic with `from_pretrained` (#7496) · cb0f3b49
      Dhruv Nair authored
      
      
      * refactor unet single file loading a bit.
      
      * retrieve the unet from create_diffusers_unet_model_from_ldm
      
      * update
      
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      * updae
      
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      * tests
      
      * update
      
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      * Update docs/source/en/api/single_file.md
      Co-authored-by: default avatarSayak Paul <spsayakpaul@gmail.com>
      
      * Update docs/source/en/api/single_file.md
      Co-authored-by: default avatarSayak Paul <spsayakpaul@gmail.com>
      
      * update
      
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      * Update docs/source/en/api/loaders/single_file.md
      Co-authored-by: default avatarYiYi Xu <yixu310@gmail.com>
      
      * Update src/diffusers/loaders/single_file.py
      Co-authored-by: default avatarYiYi Xu <yixu310@gmail.com>
      
      * Update docs/source/en/api/loaders/single_file.md
      Co-authored-by: default avatarSayak Paul <spsayakpaul@gmail.com>
      
      * Update docs/source/en/api/loaders/single_file.md
      Co-authored-by: default avatarSayak Paul <spsayakpaul@gmail.com>
      
      * Update docs/source/en/api/loaders/single_file.md
      Co-authored-by: default avatarSayak Paul <spsayakpaul@gmail.com>
      
      * Update docs/source/en/api/loaders/single_file.md
      Co-authored-by: default avatarSayak Paul <spsayakpaul@gmail.com>
      
      * update
      
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      ---------
      Co-authored-by: default avatarsayakpaul <spsayakpaul@gmail.com>
      Co-authored-by: default avatarYiYi Xu <yixu310@gmail.com>
      cb0f3b49
  3. 24 Apr, 2024 1 commit
  4. 05 Apr, 2024 1 commit
    • Sayak Paul's avatar
      [Tests] reduce block sizes of UNet and VAE tests (#7560) · 1c60e094
      Sayak Paul authored
      * reduce block sizes for unet1d.
      
      * reduce blocks for unet_2d.
      
      * reduce block size for unet_motion
      
      * increase channels.
      
      * correctly increase channels.
      
      * reduce number of layers in unet2dconditionmodel tests.
      
      * reduce block sizes for unet2dconditionmodel tests
      
      * reduce block sizes for unet3dconditionmodel.
      
      * fix: test_feed_forward_chunking
      
      * fix: test_forward_with_norm_groups
      
      * skip spatiotemporal tests on MPS.
      
      * reduce block size in AutoencoderKL.
      
      * reduce block sizes for vqmodel.
      
      * further reduce block size.
      
      * make style.
      
      * Empty-Commit
      
      * reduce sizes for ConsistencyDecoderVAETests
      
      * further reduction.
      
      * further block reductions in AutoencoderKL and AssymetricAutoencoderKL.
      
      * massively reduce the block size in unet2dcontionmodel.
      
      * reduce sizes for unet3d
      
      * fix tests in unet3d.
      
      * reduce blocks further in motion unet.
      
      * fix: output shape
      
      * add attention_head_dim to the test configuration.
      
      * remove unexpected keyword arg
      
      * up a bit.
      
      * groups.
      
      * up again
      
      * fix
      1c60e094
  5. 29 Mar, 2024 2 commits
  6. 26 Mar, 2024 1 commit
    • M. Tolga Cangöz's avatar
      Fix Tiling in `ConsistencyDecoderVAE` (#7290) · 443aa14e
      M. Tolga Cangöz authored
      
      
      * Fix typos
      
      * Add docstring to `decode` method in `ConsistencyDecoderVAE`
      
      * Fix tiling
      
      * Enable tiled VAE decoding with customizable tile sample size and overlap factor
      
      * Revert "Enable tiled VAE decoding with customizable tile sample size and overlap factor"
      
      This reverts commit 181049675e83cea7b33ae2bbeba2aff7ae1b1761.
      
      * Add VAE tiling test for `ConsistencyDecoderVAE`
      
      ---------
      Co-authored-by: default avatarSayak Paul <spsayakpaul@gmail.com>
      443aa14e
  7. 25 Mar, 2024 1 commit
  8. 14 Mar, 2024 1 commit
  9. 27 Feb, 2024 1 commit
  10. 08 Feb, 2024 1 commit
  11. 01 Feb, 2024 1 commit