diffusers
https://github.com/huggingface/diffusers
Python
🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch.
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- Issues
- 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
- `device_map="auto"` supported for diffusers pipelines?
- Update pipeline_flux_fill.py
- Add --lora_alpha and metadata handling to train_dreambooth_lora_sd3.py
- can not load Wan2.1-Fun-14B-InP-MPS_reward_lora_comfy.safetensors to wan2.1-14b-720p-diffusers
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