diffusers
https://github.com/huggingface/diffusers
Python
🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch.
Triage Issues!
When you volunteer to triage issues, you'll receive an email each day with a link to an open issue that needs help in this project. You'll also receive instructions on how to triage issues.
Triage Docs!
Receive a documented method or class from your favorite GitHub repos in your inbox every day. If you're really pro, receive undocumented methods or classes and supercharge your commit history.
Python not yet supported1 Subscribers
Add a CodeTriage badge to diffusers
Help out
- Issues
- 关于diffusers.models.unets.unet_2d_blocks中的CrossAttnDownBlock2D
- How to expand peft.LoraConfig
- HunyuanVideo pipe.transformer.compile(): torch._dynamo hit config.recompile_limit (8)
- f-divergence
- Output of randn_tensor changes based on dtype, making seeds non-reproducible if the model precision is changed
- RuntimeError after using apply_group_offloading on diffusers: Input type (torch.cuda.FloatTensor) and weight type (torch.FloatTensor) should be the same
- Flux FIll lora / dreambooth finetune support
- TypeError: UVit2DModel.forward.<locals>.layer_() got an unexpected keyword argument 'encoder_hidden_states'
- [NewModel] Adds SEVA ( Stable Virtual Camera) model
- Error when I'm trying to train a Flux lora with train_dreambooth_lora_flux_advanced
- Docs
- Python not yet supported