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  1. 15 Jan, 2025 2 commits
  3. 14 Jan, 2025 4 commits
  5. 13 Jan, 2025 8 commits
  7. 12 Jan, 2025 3 commits
  9. 11 Jan, 2025 2 commits
    • Junyu Chen's avatar
      [DC-AE] support tiling for DC-AE (#10510) · e7db062e
      Junyu Chen authored 
      

* autoencoder_dc tiling

* add tiling and slicing support in SANA pipelines

* create variables for padding length because the line becomes too long

* add tiling and slicing support in pag SANA pipelines

* revert changes to tile size

* make style

* add vae tiling test

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Co-authored-by: default avatarAryan <aryan@huggingface.co>
      e7db062e
    • andreabosisio's avatar
      Typo fix in the table number of a referenced paper (#10528) · 1b0fe636
      andreabosisio authored 
      Correcting a typo in the table number of a referenced paper (in scheduling_ddim_inverse.py)

Changed the number of the referenced table from 1 to 2 in a comment of the set_timesteps() method of the DDIMInverseScheduler class (also according to the description of the 'timestep_spacing' attribute of its __init__ method).
      1b0fe636
  11. 10 Jan, 2025 2 commits
    • Daniel Hipke's avatar
      Add a `disable_mmap` option to the `from_single_file` loader to improve load... · 52c05bd4
      Daniel Hipke authored 
      
Add a `disable_mmap` option to the `from_single_file` loader to improve load performance on network mounts (#10305)

* Add no_mmap arg.

* Fix arg parsing.

* Update another method to force no mmap.

* logging

* logging2

* propagate no_mmap

* logging3

* propagate no_mmap

* logging4

* fix open call

* clean up logging

* cleanup

* fix missing arg

* update logging and comments

* Rename to disable_mmap and update other references.

* [Docs] Update ltx_video.md to remove generator from `from_pretrained()` (#10316)

Update ltx_video.md to remove generator from `from_pretrained()`

* docs: fix a mistake in docstring (#10319)

Update pipeline_hunyuan_video.py

docs: fix a mistake

* [BUG FIX] [Stable Audio Pipeline] Resolve torch.Tensor.new_zeros() TypeError in function prepare_latents caused by audio_vae_length (#10306)

[BUG FIX] [Stable Audio Pipeline] TypeError: new_zeros(): argument 'size' failed to unpack the object at pos 3 with error "type must be tuple of ints,but got float"

torch.Tensor.new_zeros() takes a single argument size (int...) – a list, tuple, or torch.Size of integers defining the shape of the output tensor.

in function prepare_latents:
audio_vae_length = self.transformer.config.sample_size * self.vae.hop_length
audio_shape = (batch_size // num_waveforms_per_prompt, audio_channels, audio_vae_length)
...
audio = initial_audio_waveforms.new_zeros(audio_shape)

audio_vae_length evaluates to float because self.transformer.config.sample_size returns a float
Co-authored-by: default avatarhlky <hlky@hlky.ac>

* [docs] Fix quantization links (#10323)

Update overview.md

* [Sana]add 2K related model for Sana (#10322)

add 2K related model for Sana

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

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

* make style

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Co-authored-by: default avatarhlky <hlky@hlky.ac>
Co-authored-by: default avatarSayak Paul <spsayakpaul@gmail.com>
Co-authored-by: default avatarLeojc <liao_junchao@outlook.com>
Co-authored-by: default avatarAditya Raj <syntaxticsugr@gmail.com>
Co-authored-by: default avatarSteven Liu <59462357+stevhliu@users.noreply.github.com>
Co-authored-by: default avatarJunsong Chen <cjs1020440147@icloud.com>
Co-authored-by: default avatarDhruv Nair <dhruv.nair@gmail.com>
      52c05bd4
    • hlky's avatar
      Use Pipelines without unet (#10440) · 12fbe3f7
      hlky authored 
      

* Use Pipelines without unet

* unet.config.in_channels

* default_sample_size

* is_unet_version_less_0_9_0

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Co-authored-by: default avatarSayak Paul <spsayakpaul@gmail.com>
      12fbe3f7
  13. 09 Jan, 2025 4 commits
  15. 08 Jan, 2025 8 commits
  17. 07 Jan, 2025 5 commits
  19. 06 Jan, 2025 2 commits
    • Ameer Azam's avatar
      Regarding the RunwayML path for V1.5 did change to... · 4f5e3e35
      Ameer Azam authored 
      Regarding the RunwayML path for V1.5 did change to stable-diffusion-v1-5/[stable-diffusion-v1-5/ stable-diffusion-inpainting] (#10476)

* Update pipeline_controlnet.py

* Update pipeline_controlnet_img2img.py

runwayml Take-down so change all from to this
stable-diffusion-v1-5/stable-diffusion-v1-5

* Update pipeline_controlnet_inpaint.py

* runwayml take-down make change to sd-legacy

* runwayml take-down make change to sd-legacy

* runwayml take-down make change to sd-legacy

* runwayml take-down make change to sd-legacy

* Update convert_blipdiffusion_to_diffusers.py

style change
      4f5e3e35
    • hlky's avatar
      Add torch_xla and from_single_file to instruct-pix2pix (#10444) · 8f2253c5
      hlky authored 
      

* Add torch_xla and from_single_file to instruct-pix2pix

* StableDiffusionInstructPix2PixPipelineSingleFileSlowTests

* StableDiffusionInstructPix2PixPipelineSingleFileSlowTests

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Co-authored-by: default avatarSayak Paul <spsayakpaul@gmail.com>
Co-authored-by: default avatarYiYi Xu <yixu310@gmail.com>
      8f2253c5