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
69df7eba94
Add KSamplerAdvanced node.
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This node exposes more sampling options and makes it possible for example
to sample the first few steps on the latent image, do some operations on it
and then do the rest of the sampling steps. This can be achieved using the
start_at_step and end_at_step options.
2023-01-31 03:09:38 -05:00
1daccf3678
Run softmax in place if it OOMs.
2023-01-30 19:55:01 -05:00
f73e57d881
Add support for textual inversion embedding for SD1.x CLIP.
2023-01-29 18:46:44 -05:00
50db297cf6
Try to fix OOM issues with cards that have less vram than mine.
2023-01-29 00:50:46 -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
c4b02059d0
Add ConditioningSetArea node.
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to apply conditioning/prompts only to a specific area of the image.
Add ConditioningCombine node.
so that multiple conditioning/prompts can be applied to the image at the
same time
2023-01-26 12:06:48 -05:00
acdc6f42e0
Fix loading some malformed checkpoints?
2023-01-25 15:20:55 -05:00
051f472e8f
Fix sub quadratic attention for SD2 and make it the default optimization.
2023-01-25 01:22:43 -05:00
220afe3310
Initial commit.
2023-01-16 22:37:14 -05:00
comfyanonymous