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
cf5a211efc
Remove some useless imports
2023-02-24 12:36:55 -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
f04dc2c2f4
Implement DDIM sampler.
2023-02-22 21:10:19 -05:00
2976c1ad28
Uni_PC: make max denoise behave more like other samplers.
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On the KSamplers denoise of 1.0 is the same as txt2img but there was a
small difference on UniPC.
2023-02-22 02:21:06 -05:00
c9daec4c89
Remove prints that are useless when xformers is enabled.
2023-02-21 22:16:13 -05:00
a7328e4945
Add uni_pc bh2 variant.
2023-02-21 16:11:48 -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
00a9189e30
Support old pytorch.
2023-02-19 16:59:03 -05:00
137ae2606c
Support people putting commas after the embedding name in the prompt.
2023-02-19 02:50:48 -05:00
2326ff1263
Add: --highvram for when you want models to stay on the vram.
2023-02-17 21:27:02 -05:00
09f1d76ed8
Fix an OOM issue.
2023-02-17 16:21:01 -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
bc69fb5245
Use inpaint models the proper way by using VAEEncodeForInpaint.
2023-02-15 20:44:51 -05:00
cef2cc3cb0
Support for inpaint models.
2023-02-15 16:38:20 -05:00
07db00355f
Add masks to samplers code for inpainting.
2023-02-15 13:16:38 -05:00
e3451cea4f
uni_pc now works with KSamplerAdvanced return_with_leftover_noise.
2023-02-13 12:29:21 -05:00
f542f248f1
Show the right amount of steps in the progress bar for uni_pc.
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The extra step doesn't actually call the unet so it doesn't belong in
the progress bar.
2023-02-11 14:59:42 -05:00
f10b8948c3
768-v support for uni_pc sampler.
2023-02-11 04:34:58 -05:00
ce0aeb109e
Remove print.
2023-02-11 03:41:40 -05:00
5489d5af04
Add uni_pc sampler to KSampler* nodes.
2023-02-11 03:34:09 -05:00
1a4edd19cd
Fix overflow issue with inplace softmax.
2023-02-10 11:47:41 -05:00
509c7dfc6d
Use real softmax in split op to fix issue with some images.
2023-02-10 03:13:49 -05:00
7e1e193f39
Automatically enable lowvram mode if vram is less than 4GB.
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Use: --normalvram to disable it.
2023-02-10 00:47:56 -05:00
324273fff2
Fix embedding not working when on new line.
2023-02-09 14:12:02 -05:00
1f6a467e92
Update ldm dir with latest upstream stable diffusion changes.
2023-02-09 13:47:36 -05:00
773cdabfce
Same thing but for the other places where it's used.
2023-02-09 12:43:29 -05:00
df40d4f3bf
torch.cuda.OutOfMemoryError is not present on older pytorch versions.
2023-02-09 12:33:27 -05:00
e8c499ddd4
Split optimization for VAE attention block.
2023-02-08 22:04:20 -05:00
5b4e312749
Use inplace operations for less OOM issues.
2023-02-08 22:04:13 -05:00
3fd87cbd21
Slightly smarter batching behaviour.
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Try to keep batch sizes more consistent which seems to improve things on
AMD GPUs.
2023-02-08 17:28:43 -05:00
bbdcf0b737
Use relative imports for k_diffusion.
2023-02-08 16:51:19 -05:00
708138c77d
Remove print.
2023-02-08 14:51:18 -05:00
047775615b
Lower the chances of an OOM.
2023-02-08 14:24:27 -05:00
853e96ada3
Increase it/s by batching together some stuff sent to unet.
2023-02-08 14:24:00 -05:00
c92633eaa2
Auto calculate amount of memory to use for --lowvram
2023-02-08 11:42:37 -05:00
534736b924
Add some low vram modes: --lowvram and --novram
2023-02-08 11:37:10 -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
comfyanonymous