11 Commits (5e2b4893da62dec1c9ee4d0167f6b62e3b11fbef)

Author SHA1 Message Date
comfyanonymous 4b957a0010 Initialize the unet directly on the target device. 2 years ago
comfyanonymous 68be24eead Remove some prints. 2 years ago
comfyanonymous 51d5477579 Add key to indicate checkpoint is v_prediction when saving. 2 years ago
comfyanonymous 3ded1a3a04 Refactor of sampler code to deal more easily with different model types. 2 years ago
comfyanonymous ddc6f12ad5 Disable autocast in unet for increased speed. 2 years ago
comfyanonymous fcef47f06e Fix bug. 2 years ago
comfyanonymous 9b93b920be Add CheckpointSave node to save checkpoints.
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.
2 years ago
comfyanonymous 8607c2d42d Move latent scale factor from VAE to model. 2 years ago
comfyanonymous f87ec10a97 Support base SDXL and SDXL refiner models.
Large refactor of the model detection and loading code.
2 years ago
comfyanonymous c64ca8c0b2 Refactor unCLIP noise augment out of samplers.py 2 years ago
comfyanonymous de142eaad5 Simpler base model code. 2 years ago