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

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merged 1 commit into from
Dec 20, 2024

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@sayakpaul sayakpaul requested a review from DN6 December 20, 2024 08:45
@HuggingFaceDocBuilderDev

The docs for this PR live here. All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.

@sayakpaul sayakpaul merged commit b64ca6c into main Dec 20, 2024
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@sayakpaul sayakpaul deleted the sayakpaul-patch-2 branch December 20, 2024 13:02
danhipke pushed a commit to danhipke/diffusers that referenced this pull request Dec 20, 2024
…)` (huggingface#10316)

Update ltx_video.md to remove generator from `from_pretrained()`
Foundsheep pushed a commit to Foundsheep/diffusers that referenced this pull request Dec 23, 2024
…)` (huggingface#10316)

Update ltx_video.md to remove generator from `from_pretrained()`
sayakpaul added a commit that referenced this pull request Dec 23, 2024
…)` (#10316)

Update ltx_video.md to remove generator from `from_pretrained()`
DN6 added a commit that referenced this pull request Jan 10, 2025
…ve 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: hlky <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: Dhruv Nair <dhruv.nair@gmail.com>

* Update src/diffusers/loaders/single_file.py

Co-authored-by: Dhruv Nair <dhruv.nair@gmail.com>

* make style

---------

Co-authored-by: hlky <hlky@hlky.ac>
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>
Co-authored-by: Leojc <liao_junchao@outlook.com>
Co-authored-by: Aditya Raj <syntaxticsugr@gmail.com>
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
Co-authored-by: Junsong Chen <cjs1020440147@icloud.com>
Co-authored-by: Dhruv Nair <dhruv.nair@gmail.com>
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3 participants