e9589d6d92
Add a way to set model dtype and ops from load_checkpoint_guess_config.
2024-08-11 08:50:34 -04:00
ea03c9dcd2
Better per model memory usage estimations.
2024-08-02 18:09:24 -04:00
831511a1ee
Fix issue with sampling_settings persisting across models.
2024-04-09 23:20:43 -04:00
575acb69e4
IP2P model loading support.
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This is the code to load the model and inference it with only a text
prompt. This commit does not contain the nodes to properly use it with an
image input.
This supports both the original SD1 instructpix2pix model and the
diffusers SDXL one.
2024-03-31 03:10:28 -04:00
d91f45ef28
Some cleanups to how the text encoders are loaded.
2024-02-19 10:46:30 -05:00
f83109f09b
Stable Cascade Stage C.
2024-02-16 10:55:08 -05:00
da7a8df0d2
Put VAE key name in model config.
2024-01-30 02:24:38 -05:00
d76a04b6ea
Add unfinished ImageOnlyCheckpointSave node to save a SVD checkpoint.
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This node is unfinished, SVD checkpoints saved with this node will
work with ComfyUI but not with anything else.
2024-01-17 19:46:21 -05:00
ba07cb748e
Use faster manual cast for fp8 in unet.
2023-12-11 18:24:44 -05:00
32447f0c39
Add sampling_settings so models can specify specific sampling settings.
2023-11-22 17:24:00 -05:00
6a491ebe27
Allow model config to preprocess the vae state dict on load.
2023-11-21 16:29:18 -05:00
ce67dcbcda
Make it easy for models to process the unet state dict on load.
2023-11-20 23:17:53 -05:00
a74c5dbf37
Move some functions to utils.py
2023-09-02 22:33:37 -04:00
7931ff0fd9
Support SDXL inpaint models.
2023-09-01 15:22:52 -04:00
fe4c07400c
Fix "Load Checkpoint with config" node.
2023-08-29 23:58:32 -04:00
15adc3699f
Move beta_schedule to model_config and allow disabling unet creation.
2023-08-29 14:22:53 -04:00
4b957a0010
Initialize the unet directly on the target device.
2023-07-29 14:51:56 -04:00
3ded1a3a04
Refactor of sampler code to deal more easily with different model types.
2023-07-17 01:22:12 -04:00
af7a49916b
Support loading unet files in diffusers format.
2023-07-05 17:38:59 -04:00
9b93b920be
Add CheckpointSave node to save checkpoints.
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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.
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Large refactor of the model detection and loading code.
2023-06-22 13:03:50 -04:00
comfyanonymous