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  1. 19 Jan, 2025 1 commit
  3. 16 Jan, 2025 1 commit
  5. 15 Jan, 2025 1 commit
  7. 14 Jan, 2025 1 commit
  9. 13 Jan, 2025 3 commits
  11. 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
  13. 09 Jan, 2025 1 commit
  15. 08 Jan, 2025 1 commit
  17. 07 Jan, 2025 1 commit
  19. 06 Jan, 2025 4 commits
  21. 02 Jan, 2025 1 commit
  23. 25 Dec, 2024 1 commit
  25. 23 Dec, 2024 4 commits
  27. 21 Dec, 2024 1 commit
    • hlky's avatar
      Support Flux IP Adapter (#10261) · be207099
      hlky authored 
      

* Flux IP-Adapter

* test cfg

* make style

* temp remove copied from

* fix test

* fix test

* v2

* fix

* make style

* temp remove copied from

* Apply suggestions from code review
Co-authored-by: default avatarYiYi Xu <yixu310@gmail.com>

* Move encoder_hid_proj to inside FluxTransformer2DModel

* merge

* separate encode_prompt, add copied from, image_encoder offload

* make

* fix test

* fix

* Update src/diffusers/pipelines/flux/pipeline_flux.py

* test_flux_prompt_embeds change not needed

* true_cfg -> true_cfg_scale

* fix merge conflict

* test_flux_ip_adapter_inference

* add fast test

* FluxIPAdapterMixin not test mixin

* Update pipeline_flux.py
Co-authored-by: default avatarYiYi Xu <yixu310@gmail.com>

---------
Co-authored-by: default avatarYiYi Xu <yixu310@gmail.com>
      be207099
  29. 20 Dec, 2024 3 commits
  31. 19 Dec, 2024 3 commits
  33. 18 Dec, 2024 2 commits
  35. 17 Dec, 2024 3 commits
  37. 15 Dec, 2024 1 commit
  39. 12 Dec, 2024 1 commit
    • Aryan's avatar
      [core] LTX Video (#10021) · 96c376a5
      Aryan authored 
      

* transformer

* make style & make fix-copies

* transformer

* add transformer tests

* 80% vae

* make style

* make fix-copies

* fix

* undo cogvideox changes

* update

* update

* match vae

* add docs

* t2v pipeline working; scheduler needs to be checked

* docs

* add pipeline test

* update

* update

* make fix-copies

* Apply suggestions from code review
Co-authored-by: default avatarSteven Liu <59462357+stevhliu@users.noreply.github.com>

* update

* copy t2v to i2v pipeline

* update

* apply review suggestions

* update

* make style

* remove framewise encoding/decoding

* pack/unpack latents

* image2video

* update

* make fix-copies

* update

* update

* rope scale fix

* debug layerwise code

* remove debug

* Apply suggestions from code review
Co-authored-by: default avatarYiYi Xu <yixu310@gmail.com>

* propagate precision changes to i2v pipeline

* remove downcast

* address review comments

* fix comment

* address review comments

* [Single File] LTX support for loading original weights (#10135)

* from original file mixin for ltx

* undo config mapping fn changes

* update

* add single file to pipelines

* update docs

* Update src/diffusers/models/autoencoders/autoencoder_kl_ltx.py

* Update src/diffusers/models/autoencoders/autoencoder_kl_ltx.py

* rename classes based on ltx review

* point to original repository for inference

* make style

* resolve conflicts correctly

---------
Co-authored-by: default avatarSteven Liu <59462357+stevhliu@users.noreply.github.com>
Co-authored-by: default avatarYiYi Xu <yixu310@gmail.com>
      96c376a5
  41. 11 Dec, 2024 2 commits
  43. 10 Dec, 2024 2 commits
  45. 06 Dec, 2024 1 commit