-
Notifications
You must be signed in to change notification settings - Fork 5.6k
New issue
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
[Sana]add 2K related model for Sana #10322
Conversation
There was a problem hiding this comment.
Choose a reason for hiding this comment
The reason will be displayed to describe this comment to others. Learn more.
thanks @lawrence-cj !
add 2K related model for Sana
thanks @lawrence-cj! a bit off-topic, do you have plans for img2img sana pipeline? |
We do. Will release controllnet code and model later. Any suggestion on other img2img pipeline? |
i was thinking about having pure |
OK, I think it's ok to have a |
add 2K related model for Sana
add 2K related model for Sana
…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>
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