31b0f6f3d8
UNET weights can now be stored in fp8.
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--fp8_e4m3fn-unet and --fp8_e5m2-unet are the two different formats
supported by pytorch.
2023-12-04 11:10:00 -05:00
871cc20e13
Support SVD img2vid model.
2023-11-23 19:41:33 -05:00
6ec3f12c6e
Support SSD1B model and make it easier to support asymmetric unets.
2023-10-27 14:45:15 -04:00
9a55dadb4c
Refactor code so model can be a dtype other than fp32 or fp16.
2023-10-13 14:41:17 -04:00
d08e53de2e
Remove autocast from controlnet code.
2023-08-20 21:47:32 -04:00
d6e4b342e6
Support for Control Loras.
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Control loras are controlnets where some of the weights are stored in
"lora" format: an up and a down low rank matrice that when multiplied
together and added to the unet weight give the controlnet weight.
This allows a much smaller memory footprint depending on the rank of the
matrices.
These controlnets are used just like regular ones.
2023-08-18 11:59:51 -04:00
2b13939044
Remove some useless code.
2023-07-30 14:13:33 -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
f0a2b81cd0
Cleanup: Remove a bunch of useless files.
2023-06-13 02:19:08 -04:00
bae4fb4a9d
Fix imports.
2023-05-04 18:10:29 -04:00
54dbfaf2ec
Remove omegaconf dependency and some ci changes.
2023-03-13 14:49:18 -04:00
cf5a211efc
Remove some useless imports
2023-02-24 12:36:55 -05:00
4efa67fa12
Add ControlNet support.
2023-02-16 10:38:08 -05:00
comfyanonymous