0ec513d877
Add a --force-channels-last to inference models in channel last mode.
2024-06-15 01:08:12 -04:00
1ddf512fdc
Don't auto convert clip and vae weights to fp16 when saving checkpoint.
2024-06-12 01:07:58 -04:00
694e0b48e0
SD3 better memory usage estimation.
2024-06-12 00:49:00 -04:00
9424522ead
Reuse code.
2024-06-11 07:20:26 -04:00
8c4a9befa7
SD3 Support.
2024-06-10 14:06:23 -04:00
cd07340d96
Typo fix.
2024-05-08 18:36:56 -04:00
1088d1850f
Support for CosXL models.
2024-04-05 10:53:41 -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
94a5a67c32
Cleanup to support different types of inpaint models.
2024-03-29 14:44:13 -04:00
40e124c6be
SV3D support.
2024-03-18 16:54:13 -04:00
0ed72befe1
Change log levels.
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Logging level now defaults to info. --verbose sets it to debug.
2024-03-11 13:54:56 -04:00
65397ce601
Replace prints with logging and add --verbose argument.
2024-03-10 12:14:23 -04:00
51df846598
Let conditioning specify custom concat conds.
2024-03-02 11:44:06 -05:00
cb7c3a2921
Allow image_only_indicator to be None.
2024-02-29 13:11:30 -05:00
8daedc5bf2
Auto detect playground v2.5 model.
2024-02-27 18:03:03 -05:00
0d0fbabd1d
Pass pooled CLIP to stage b.
2024-02-20 04:24:45 -05:00
667c92814e
Stable Cascade Stage B.
2024-02-16 13:02:03 -05:00
f83109f09b
Stable Cascade Stage C.
2024-02-16 10:55:08 -05:00
25a4805e51
Add a way to set different conditioning for the controlnet.
2024-02-09 14:13:31 -05:00
4871a36458
Cleanup some unused imports.
2024-01-21 21:51:22 -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
2395ae740a
Make unclip more deterministic.
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Pass a seed argument note that this might make old unclip images different.
2024-01-14 17:28:31 -05:00
10f2609fdd
Add InpaintModelConditioning node.
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This is an alternative to VAE Encode for inpaint that should work with
lower denoise.
This is a different take on #2501
2024-01-11 03:15:27 -05:00
8c6493578b
Implement noise augmentation for SD 4X upscale model.
2024-01-03 14:27:11 -05:00
a7874d1a8b
Add support for the stable diffusion x4 upscaling model.
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This is an old model.
Load the checkpoint like a regular one and use the new
SD_4XUpscale_Conditioning node.
2024-01-03 03:37:56 -05:00
36a7953142
Greatly improve lowvram sampling speed by getting rid of accelerate.
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Let me know if this breaks anything.
2023-12-22 14:38:45 -05:00
8cf1daa108
Fix SDXL area composition sometimes not using the right pooled output.
2023-12-18 12:54:23 -05:00
2258f85159
Support stable zero 123 model.
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To use it use the ImageOnlyCheckpointLoader to load the checkpoint and
the new Stable_Zero123 node.
2023-12-18 03:48:04 -05:00
3152023fbc
Use inference dtype for unet memory usage estimation.
2023-12-11 23:50:38 -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
ba07cb748e
Use faster manual cast for fp8 in unet.
2023-12-11 18:24:44 -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
61a123a1e0
A different way of handling multiple images passed to SVD.
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Previously when a list of 3 images [0, 1, 2] was used for a 6 frame video
they were concated like this:
[0, 1, 2, 0, 1, 2]
now they are concated like this:
[0, 0, 1, 1, 2, 2]
2023-12-03 03:31:47 -05:00
13fdee6abf
Try to free memory for both cond+uncond before inference.
2023-11-27 14:55:40 -05:00
be71bb5e13
Tweak memory inference calculations a bit.
2023-11-27 14:04:16 -05:00
871cc20e13
Support SVD img2vid model.
2023-11-23 19:41:33 -05:00
ce67dcbcda
Make it easy for models to process the unet state dict on load.
2023-11-20 23:17:53 -05:00
4781819a85
Make memory estimation aware of model dtype.
2023-11-12 04:28:26 -05:00
dd4ba68b6e
Allow different models to estimate memory usage differently.
2023-11-12 04:03:52 -05:00
064d7583eb
Add a CONDConstant for passing non tensor conds to unet.
2023-11-08 01:59:09 -05:00
1ffa8858e7
Move model sampling code to comfy/model_sampling.py
2023-11-04 01:32:23 -04:00
ecb80abb58
Allow ModelSamplingDiscrete to be instantiated without a model config.
2023-11-01 19:13:03 -04:00
111f1b5255
Fix some issues with sampling precision.
2023-10-31 23:49:29 -04:00
7c0f255de1
Clean up percent start/end and make controlnets work with sigmas.
2023-10-31 22:14:32 -04:00
1777b54d02
Sampling code changes.
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apply_model in model_base now returns the denoised output.
This means that sampling_function now computes things on the denoised
output instead of the model output. This should make things more consistent
across current and future models.
2023-10-31 17:33:43 -04:00
d1d2fea806
Pass extra conds directly to unet.
2023-10-25 00:07:53 -04:00
036f88c621
Refactor to make it easier to add custom conds to models.
2023-10-24 23:31:12 -04:00
e6962120c6
Make sure cond_concat is on the right device.
2023-10-19 01:14:25 -04:00
782a24fce6
Refactor cond_concat into model object.
2023-10-18 16:48:37 -04:00
492db2de8d
Allow having a different pooled output for each image in a batch.
2023-09-21 01:14:42 -04:00
comfyanonymous