Skip to content

GitLab

Switch branch/tag
  1. 11 Mar, 2025 1 commit
  3. 10 Mar, 2025 3 commits
  5. 08 Mar, 2025 1 commit
  7. 07 Mar, 2025 2 commits
  9. 06 Mar, 2025 2 commits
  11. 04 Mar, 2025 3 commits
  13. 03 Mar, 2025 1 commit
    • Teriks's avatar
      Fix SD2.X clip single file load projection_dim (#10770) · 9e910c46
      Teriks authored 
      

* Fix SD2.X clip single file load projection_dim

Infer projection_dim from the checkpoint before loading
from pretrained, override any incorrect hub config.

Hub configuration for SD2.X specifies projection_dim=512
which is incorrect for SD2.X checkpoints loaded from civitai
and similar.

Exception was previously thrown upon attempting to
load_model_dict_into_meta for SD2.X single file checkpoints.

Such LDM models usually require projection_dim=1024

* convert_open_clip_checkpoint use hidden_size for text_proj_dim

* convert_open_clip_checkpoint, revert checkpoint[text_proj_key].shape[1] -> [0]

values are identical

---------
Co-authored-by: default avatarTeriks <Teriks@users.noreply.github.com>
Co-authored-by: default avatarDhruv Nair <dhruv.nair@gmail.com>
      9e910c46
  15. 25 Feb, 2025 1 commit
  17. 24 Feb, 2025 2 commits
  19. 21 Feb, 2025 1 commit
  21. 20 Feb, 2025 2 commits
  23. 19 Feb, 2025 3 commits
  25. 17 Feb, 2025 1 commit
  27. 12 Feb, 2025 1 commit
  29. 10 Feb, 2025 1 commit
  31. 06 Feb, 2025 1 commit
  33. 21 Jan, 2025 1 commit
  35. 19 Jan, 2025 1 commit
  37. 16 Jan, 2025 1 commit
  39. 15 Jan, 2025 1 commit
  41. 14 Jan, 2025 1 commit
  43. 13 Jan, 2025 3 commits
  45. 10 Jan, 2025 1 commit
    • 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

---------
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
  47. 09 Jan, 2025 1 commit
  49. 08 Jan, 2025 1 commit
  51. 07 Jan, 2025 1 commit
  53. 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

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