[Sana]add 2K related model for Sana#10322
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yiyixuxu merged 1 commit intohuggingface:mainfrom Dec 20, 2024
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danhipke
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Dec 20, 2024
add 2K related model for Sana
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thanks @lawrence-cj! a bit off-topic, do you have plans for img2img sana pipeline? |
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We do. Will release controllnet code and model later. Any suggestion on other img2img pipeline? |
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i was thinking about having pure |
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OK, I think it's ok to have a |
Foundsheep
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Dec 23, 2024
add 2K related model for Sana
sayakpaul
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Dec 23, 2024
add 2K related model for Sana
DN6
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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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What does this PR do?
We release 2K model of Sana. So I add the ckpt and 2K related code into the conversion script.
Cc: @a-r-r-o-w @sayakpaul