Commit Graph

22 Commits

Author SHA1 Message Date
comfyanonymous ade7aa1b0c Remove useless import. 2024-07-09 11:05:05 -04:00
comfyanonymous faa57430b0 Controlnet union model basic implementation.
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
comfyanonymous 739b76630e Remove useless code. 2024-07-04 15:14:13 -04:00
comfyanonymous 264caca20e ControlNetApplySD3 node can now be used to use SD3 controlnets. 2024-06-27 18:43:11 -04:00
comfyanonymous f8f7568d03 Basic SD3 controlnet implementation.
Still missing the node to properly use it.
2024-06-27 18:43:11 -04:00
comfyanonymous 66aaa14001 Controlnet refactor. 2024-06-27 18:43:11 -04:00
comfyanonymous 11a2ad5110 Fix controlnet not upcasting on models that have it enabled. 2024-05-19 17:58:03 -04:00
comfyanonymous 32b7e7e769 Add manual cast to controlnet. 2023-12-12 11:32:42 -05:00
comfyanonymous 77755ab8db Refactor comfy.ops
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
comfyanonymous 31b0f6f3d8 UNET weights can now be stored in fp8.
--fp8_e4m3fn-unet and --fp8_e5m2-unet are the two different formats
supported by pytorch.
2023-12-04 11:10:00 -05:00
comfyanonymous 871cc20e13 Support SVD img2vid model. 2023-11-23 19:41:33 -05:00
comfyanonymous 6ec3f12c6e Support SSD1B model and make it easier to support asymmetric unets. 2023-10-27 14:45:15 -04:00
comfyanonymous 9a55dadb4c Refactor code so model can be a dtype other than fp32 or fp16. 2023-10-13 14:41:17 -04:00
comfyanonymous d08e53de2e Remove autocast from controlnet code. 2023-08-20 21:47:32 -04:00
comfyanonymous d6e4b342e6 Support for Control Loras.
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
comfyanonymous 2b13939044 Remove some useless code. 2023-07-30 14:13:33 -04:00
comfyanonymous 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
comfyanonymous f0a2b81cd0 Cleanup: Remove a bunch of useless files. 2023-06-13 02:19:08 -04:00
comfyanonymous bae4fb4a9d Fix imports. 2023-05-04 18:10:29 -04:00
comfyanonymous 54dbfaf2ec Remove omegaconf dependency and some ci changes. 2023-03-13 14:49:18 -04:00
comfyanonymous cf5a211efc Remove some useless imports 2023-02-24 12:36:55 -05:00
comfyanonymous 4efa67fa12 Add ControlNet support. 2023-02-16 10:38:08 -05:00