1c012d69af
It doesn't make sense for c_crossattn and c_concat to be lists.
2023-08-31 13:25:00 -04:00
15adc3699f
Move beta_schedule to model_config and allow disabling unet creation.
2023-08-29 14:22:53 -04:00
a57b0c797b
Fix lowvram model merging.
2023-08-26 11:52:07 -04:00
39ac856a33
ReVision support: unclip nodes can now be used with SDXL.
2023-08-18 11:59:36 -04:00
a2ce9655ca
Refactor unclip code.
2023-08-14 23:48:47 -04:00
9cc12c833d
CLIPVisionEncode can now encode multiple images.
2023-08-14 16:54:05 -04:00
4b957a0010
Initialize the unet directly on the target device.
2023-07-29 14:51:56 -04:00
68be24eead
Remove some prints.
2023-07-27 16:12:43 -04:00
51d5477579
Add key to indicate checkpoint is v_prediction when saving.
2023-07-18 00:25:53 -04:00
3ded1a3a04
Refactor of sampler code to deal more easily with different model types.
2023-07-17 01:22:12 -04:00
ddc6f12ad5
Disable autocast in unet for increased speed.
2023-07-05 21:58:29 -04:00
fcef47f06e
Fix bug.
2023-06-28 00:38:07 -04:00
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.
2023-06-26 12:22:27 -04:00
8607c2d42d
Move latent scale factor from VAE to model.
2023-06-23 02:33:31 -04:00
f87ec10a97
Support base SDXL and SDXL refiner models.
...
Large refactor of the model detection and loading code.
2023-06-22 13:03:50 -04:00
c64ca8c0b2
Refactor unCLIP noise augment out of samplers.py
2023-06-11 04:01:18 -04:00
de142eaad5
Simpler base model code.
2023-06-09 12:31:16 -04:00
comfyanonymous