GitLab

Add a new argument --use-quad-cross-attention

The created checkpoints contain workflow metadata that can be loaded by
dragging them on top of the UI or loading them with the "Load" button.

Checkpoints will be saved in fp16 or fp32 depending on the format ComfyUI
is using for inference on your hardware. To force fp32 use: --force-fp32

Anything that patches the model weights like merging or loras will be
saved.

The output directory is currently set to: output/checkpoints but that might
change in the future.

Update LoadClip to load clip models for SDXL refiner.

Tomesd now uses q instead of x to decide which tokens to merge because
it seems to give better results.

Large refactor of the model detection and loading code.

Change the transformer patches function format to be more future proof.

Make the CLIP model work on the GPU.

Default pytorch Linear initializes the weights which is useless and slow.