e33dc2b33b
Add a VAEEncodeTiled node.
2023-03-11 15:28:15 -05:00
9db2e97b47
Tiled upscaling with the upscale models.
2023-03-11 14:04:13 -05:00
cd64111c83
Add locon support.
2023-03-09 21:41:24 -05:00
c70f0ac64b
SD2.x controlnets now work.
2023-03-08 01:13:38 -05:00
19415c3ace
Relative imports to test something.
2023-03-07 11:00:35 -05:00
501f19eec6
Fix clip_skip no longer being loaded from yaml file.
2023-03-06 11:34:02 -05:00
afff30fc0a
Add --cpu to use the cpu for inference.
2023-03-06 10:50:50 -05:00
47acb3d73e
Implement support for t2i style model.
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It needs the CLIPVision model so I added CLIPVisionLoader and CLIPVisionEncode.
Put the clip vision model in models/clip_vision
Put the t2i style model in models/style_models
StyleModelLoader to load it, StyleModelApply to apply it
ConditioningAppend to append the conditioning it outputs to a positive one.
2023-03-05 18:39:25 -05:00
16130c7546
Add support for new colour T2I adapter model.
2023-03-03 19:13:07 -05:00
4215206281
Add a node to set CLIP skip.
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Use a more simple way to detect if the model is -v prediction.
2023-03-03 13:04:36 -05:00
fed315a76a
To be really simple CheckpointLoaderSimple should pick the right type.
2023-03-03 11:07:10 -05:00
94bb0375b0
New CheckpointLoaderSimple to load checkpoints without a config.
2023-03-03 03:37:35 -05:00
b31daadc03
Try to improve memory issues with del.
2023-02-28 12:27:43 -05:00
9f4214e534
Preparing to add another function to load checkpoints.
2023-02-26 17:29:01 -05:00
dfb397e034
Fix multiple controlnets not working.
2023-02-25 22:12:22 -05:00
af3cc1b5fb
Fixed issue when batched image was used as a controlnet input.
2023-02-25 14:57:28 -05:00
d2da346b0b
Fix missing variable.
2023-02-25 12:19:03 -05:00
4e6b83a80a
Add a T2IAdapterLoader node to load T2I-Adapter models.
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They are loaded as CONTROL_NET objects because they are similar.
2023-02-25 01:24:56 -05:00
fcb25d37db
Prepare for t2i adapter.
2023-02-24 23:36:17 -05:00
87b00b37f6
Added an experimental VAEDecodeTiled.
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This decodes the image with the VAE in tiles which should be faster and
use less vram.
It's in the _for_testing section so I might change/remove it or even
add the functionality to the regular VAEDecode node depending on how
well it performs which means don't depend too much on it.
2023-02-24 02:10:10 -05:00
62df8dd62a
Add a node to load diff controlnets.
2023-02-22 23:22:03 -05:00
d80af7ca30
ControlNetApply now stacks.
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It can be used to apply multiple control nets at the same time.
2023-02-21 01:18:53 -05:00
d66415c021
Low vram mode for controlnets.
2023-02-17 15:48:16 -05:00
220a72d36b
Use fp16 for fp16 control nets.
2023-02-17 15:31:38 -05:00
6135a21ee8
Add a way to control controlnet strength.
2023-02-16 18:08:01 -05:00
4efa67fa12
Add ControlNet support.
2023-02-16 10:38:08 -05:00
a84cd0d1ad
Don't unload/reload model from CPU uselessly.
2023-02-08 03:40:43 -05:00
b1a7c9ebf6
Embeddings/textual inversion support for SD2.x
2023-02-05 15:49:03 -05:00
1de5aa6a59
Add a CLIPLoader node to load standalone clip weights.
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Put them in models/clip
2023-02-05 15:20:18 -05:00
56d802e1f3
Use transformers CLIP instead of open_clip for SD2.x
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This should make things a bit cleaner.
2023-02-05 14:36:28 -05:00
bf9ccffb17
Small fix for SD2.x loras.
2023-02-05 11:38:25 -05:00
678105fade
SD2.x CLIP support for Loras.
2023-02-05 01:54:09 -05:00
ef90e9c376
Add a LoraLoader node to apply loras to models and clip.
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The models are modified in place before being used and unpatched after.
I think this is better than monkeypatching since it might make it easier
to use faster non pytorch unet inference in the future.
2023-02-03 02:46:24 -05:00
f73e57d881
Add support for textual inversion embedding for SD1.x CLIP.
2023-01-29 18:46:44 -05:00
73f60740c8
Slightly cleaner code.
2023-01-28 02:14:22 -05:00
0108616b77
Fix issue with some models.
2023-01-28 01:38:42 -05:00
2973ff24c5
Round CLIP position ids to fix float issues in some checkpoints.
2023-01-28 00:19:33 -05:00
acdc6f42e0
Fix loading some malformed checkpoints?
2023-01-25 15:20:55 -05:00
220afe3310
Initial commit.
2023-01-16 22:37:14 -05:00
comfyanonymous