f48e390032
Support AliMama SD3 and Flux inpaint controlnets.
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Use the ControlNetInpaintingAliMamaApply node.
2024-09-14 09:05:16 -04:00
b2c995f623
"auto" type is only relevant to the SetUnionControlNetType node.
2024-07-22 11:30:38 -04:00
4151fbfa8a
Add error message on union controlnet ( #4081 )
2024-07-22 11:27:32 -04:00
281ad42df4
Fix lowvram union controlnet bug.
2024-07-17 10:16:31 -04:00
7914c47d5a
Quick fix for the promax controlnet.
2024-07-14 10:07:36 -04:00
ade7aa1b0c
Remove useless import.
2024-07-09 11:05:05 -04:00
faa57430b0
Controlnet union model basic implementation.
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This is only the model code itself, it currently defaults to an empty
embedding [0] * 6 which seems to work better than treating it like a
regular controlnet.
TODO: Add nodes to select the image type.
2024-07-08 23:49:02 -04:00
739b76630e
Remove useless code.
2024-07-04 15:14:13 -04:00
264caca20e
ControlNetApplySD3 node can now be used to use SD3 controlnets.
2024-06-27 18:43:11 -04:00
f8f7568d03
Basic SD3 controlnet implementation.
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Still missing the node to properly use it.
2024-06-27 18:43:11 -04:00
66aaa14001
Controlnet refactor.
2024-06-27 18:43:11 -04:00
11a2ad5110
Fix controlnet not upcasting on models that have it enabled.
2024-05-19 17:58:03 -04:00
32b7e7e769
Add manual cast to controlnet.
2023-12-12 11:32:42 -05:00
77755ab8db
Refactor comfy.ops
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comfy.ops -> comfy.ops.disable_weight_init
This should make it more clear what they actually do.
Some unused code has also been removed.
2023-12-11 23:27:13 -05:00
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
Chenlei Hu