b4f434ee66
Preview sampled images with TAESD
1 year ago
fed0a4dd29
Some comments to say what the vram state options mean.
1 year ago
0a5fefd621
Cleanups and fixes for model_management.py
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Hopefully fix regression on MPS and CPU.
1 year ago
700491d81a
Implement global average pooling for controlnet.
1 year ago
67892b5ac5
Refactor and improve model_management code related to free memory.
1 year ago
499641ebf1
More accurate total
1 year ago
b5dd15c67a
System stats endpoint
1 year ago
5c38958e49
Tweak lowvram model memory so it's closer to what it was before.
1 year ago
94680732d3
Empty cache on mps.
1 year ago
03da8a3426
This is useless for inference.
1 year ago
eb448dd8e1
Auto load model in lowvram if not enough memory.
1 year ago
b9818eb910
Add route to get safetensors metadata:
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/view_metadata/loras?filename=lora.safetensors
1 year ago
a532888846
Support VAEs in diffusers format.
2 years ago
0fc483dcfd
Refactor diffusers model convert code to be able to reuse it.
2 years ago
eb4bd7711a
Remove einops.
2 years ago
87ab25fac7
Do operations in same order as the one it replaces.
2 years ago
e1278fa925
Support old pytorch versions that don't have weights_only.
2 years ago
8b4b0c3188
vecorized bislerp
2 years ago
b8ccbec6d8
Various improvements to bislerp.
2 years ago
34887b8885
Add experimental bislerp algorithm for latent upscaling.
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It's like bilinear but with slerp.
2 years ago
6cc450579b
Auto transpose images from exif data.
2 years ago
dc198650c0
sample_dpmpp_2m_sde no longer crashes when step == 1.
2 years ago
069657fbf3
Add DPM-Solver++(2M) SDE and exponential scheduler.
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exponential scheduler is the one recommended with this sampler.
2 years ago
b8636a44aa
Make scaled_dot_product switch to sliced attention on OOM.
2 years ago
797c4e8d3b
Simplify and improve some vae attention code.
2 years ago
ef815ba1e2
Switch default scheduler to normal.
2 years ago
3a1f47764d
Print the torch device that is used on startup.
2 years ago
1201d2eae5
Make nodes map over input lists ( #579 )
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* allow nodes to map over lists
* make work with IS_CHANGED and VALIDATE_INPUTS
* give list outputs distinct socket shape
* add rebatch node
* add batch index logic
* add repeat latent batch
* deal with noise mask edge cases in latentfrombatch
2 years ago
19c014f429
comment out annoying print statement
2 years ago
d9e088ddfd
minor changes for tiled sampler
2 years ago
f7c0f75d1f
Auto batching improvements.
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Try batching when cond sizes don't match with smart padding.
2 years ago
314e526c5c
Not needed anymore because sampling works with any latent size.
2 years ago
c6e34963e4
Make t2i adapter work with any latent resolution.
2 years ago
6fc4917634
Make maximum_batch_area take into account python2.0 attention function.
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More conservative xformers maximum_batch_area.
2 years ago
678f933d38
maximum_batch_area for xformers.
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Remove useless code.
2 years ago
8e03c789a2
auto-launch cli arg
2 years ago
cb1551b819
Lowvram mode for gligen and fix some lowvram issues.
2 years ago
af9cc1fb6a
Search recursively in subfolders for embeddings.
2 years ago
6ee11d7bc0
Fix import.
2 years ago
bae4fb4a9d
Fix imports.
2 years ago
fcf513e0b6
Refactor.
2 years ago
5eeecf3fd5
remove unused import
2 years ago
8912623ea9
use comfy progress bar
2 years ago
908dc1d5a8
Add a total_steps value to sampler callback.
2 years ago
27df74101e
reduce duplication
2 years ago
93c64afaa9
Use sampler callback instead of tqdm hook for progress bar.
2 years ago
06ad35b493
added progress to encode + upscale
2 years ago
ba8a4c3667
Change latent resolution step to 8.
2 years ago
66c8aa5c3e
Make unet work with any input shape.
2 years ago
9c335a553f
LoKR support.
2 years ago
space-nuko
comfyanonymous
BlenderNeko
EllangoK
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