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f081017c1a
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91 Commits

Author SHA1 Message Date
comfyanonymous
f081017c1a Save memory by storing text encoder weights in fp16 in most situations. 
Do inference in fp32 to make sure quality stays the exact same.
 2023-08-23 01:08:51 -04:00
comfyanonymous
0d7b0a4dc7 Small cleanups. 2023-08-20 14:56:47 -04:00
Simon Lui
9225465975 Further tuning and fix mem_free_total. 2023-08-20 14:19:53 -04:00
Simon Lui
2c096e4260 Add ipex optimize and other enhancements for Intel GPUs based on recent memory changes. 2023-08-20 14:19:51 -04:00
comfyanonymous
e9469e732d --disable-smart-memory now disables loading model directly to vram. 2023-08-20 04:00:53 -04:00
comfyanonymous
3aee33b54e Add --disable-smart-memory for those that want the old behaviour. 2023-08-17 03:12:37 -04:00
comfyanonymous
2be2742711 Fix issue with regular torch version. 2023-08-17 01:58:54 -04:00
comfyanonymous
89a0767abf Smarter memory management. 
Try to keep models on the vram when possible.

Better lowvram mode for controlnets.
 2023-08-17 01:06:34 -04:00
comfyanonymous
1ce0d8ad68 Add CMP 30HX card to the nvidia_16_series list. 2023-08-04 12:08:45 -04:00
comfyanonymous
4a77fcd6ab Only shift text encoder to vram when CPU cores are under 8. 2023-07-31 00:08:54 -04:00
comfyanonymous
3cd31d0e24 Lower CPU thread check for running the text encoder on the CPU vs GPU. 2023-07-30 17:18:24 -04:00
comfyanonymous
22f29d66ca Try to fix memory issue with lora. 2023-07-22 21:38:56 -04:00
comfyanonymous
4760c29380 Merge branch 'fix-AttributeError-module-'torch'-has-no-attribute-'mps'' of https://github.com/KarryCharon/ComfyUI 2023-07-20 00:34:54 -04:00
comfyanonymous
18885f803a Add MX450 and MX550 to list of cards with broken fp16. 2023-07-19 03:08:30 -04:00
comfyanonymous
ff6b047a74 Fix device print on old torch version. 2023-07-17 15:18:58 -04:00
comfyanonymous
1679abd86d Add a command line argument to enable backend:cudaMallocAsync 2023-07-17 11:00:14 -04:00
comfyanonymous
5f57362613 Lower lora ram usage when in normal vram mode. 2023-07-16 02:59:04 -04:00
comfyanonymous
490771b7f4 Speed up lora loading a bit. 2023-07-15 13:25:22 -04:00
KarryCharon
3e2309f149 fix mps miss import 2023-07-12 10:06:34 +08:00
comfyanonymous
0ae81c03bb Empty cache after model unloading for normal vram and lower. 2023-07-09 09:56:03 -04:00
comfyanonymous
e7bee85df8 Add arguments to run the VAE in fp16 or bf16 for testing. 2023-07-06 23:23:46 -04:00
comfyanonymous
ddc6f12ad5 Disable autocast in unet for increased speed. 2023-07-05 21:58:29 -04:00
comfyanonymous
8d694cc450 Fix issue with OSX. 2023-07-04 02:09:02 -04:00
comfyanonymous
dc9d1f31c8 Improvements for OSX. 2023-07-03 00:08:30 -04:00
comfyanonymous
2c4e0b49b7 Switch to fp16 on some cards when the model is too big. 2023-07-02 10:00:57 -04:00
comfyanonymous
6f3d9f52db Add a --force-fp16 argument to force fp16 for testing. 2023-07-01 22:42:35 -04:00
comfyanonymous
1c1b0e7299 --gpu-only now keeps the VAE on the device. 2023-07-01 15:22:40 -04:00
comfyanonymous
3b6fe51c1d Leave text_encoder on the CPU when it can handle it. 2023-07-01 14:38:51 -04:00
comfyanonymous
b6a60fa696 Try to keep text encoders loaded and patched to increase speed. 
load_model_gpu() is now used with the text encoder models instead of just
the unet.
 2023-07-01 13:28:07 -04:00
comfyanonymous
97ee230682 Make highvram and normalvram shift the text encoders to vram and back. 
This is faster on big text encoder models than running it on the CPU.
 2023-07-01 12:37:23 -04:00
comfyanonymous
62db11683b Move unet to device right after loading on highvram mode. 2023-06-29 20:43:06 -04:00
comfyanonymous
8248babd44 Use pytorch attention by default on nvidia when xformers isn't present. 
Add a new argument --use-quad-cross-attention
 2023-06-26 13:03:44 -04:00
comfyanonymous
f7edcfd927 Add a --gpu-only argument to keep and run everything on the GPU. 
Make the CLIP model work on the GPU.
 2023-06-15 15:38:52 -04:00
comfyanonymous
fed0a4dd29 Some comments to say what the vram state options mean. 2023-06-04 17:51:04 -04:00
comfyanonymous
0a5fefd621 Cleanups and fixes for model_management.py 
Hopefully fix regression on MPS and CPU.
 2023-06-03 11:05:37 -04:00
comfyanonymous
67892b5ac5 Refactor and improve model_management code related to free memory. 2023-06-02 15:21:33 -04:00
space-nuko
499641ebf1 More accurate total 2023-06-02 00:14:41 -05:00
space-nuko
b5dd15c67a System stats endpoint 2023-06-01 23:26:23 -05:00
comfyanonymous
5c38958e49 Tweak lowvram model memory so it's closer to what it was before. 2023-06-01 04:04:35 -04:00
comfyanonymous
94680732d3 Empty cache on mps. 2023-06-01 03:52:51 -04:00
comfyanonymous
eb448dd8e1 Auto load model in lowvram if not enough memory. 2023-05-30 12:36:41 -04:00
comfyanonymous
3a1f47764d Print the torch device that is used on startup. 2023-05-13 17:11:27 -04:00
comfyanonymous
6fc4917634 Make maximum_batch_area take into account python2.0 attention function. 
More conservative xformers maximum_batch_area.
 2023-05-06 19:58:54 -04:00
comfyanonymous
678f933d38 maximum_batch_area for xformers. 
Remove useless code.
 2023-05-06 19:28:46 -04:00
comfyanonymous
cb1551b819 Lowvram mode for gligen and fix some lowvram issues. 2023-05-05 18:11:41 -04:00
comfyanonymous
6ee11d7bc0 Fix import. 2023-05-05 00:19:35 -04:00
comfyanonymous
bae4fb4a9d Fix imports. 2023-05-04 18:10:29 -04:00
comfyanonymous
056e5545ff Don't try to get vram from xpu or cuda when directml is enabled. 2023-04-29 00:28:48 -04:00
comfyanonymous
2ca934f7d4 You can now select the device index with: --directml id 
Like this for example: --directml 1
 2023-04-28 16:51:35 -04:00
comfyanonymous
3baded9892 Basic torch_directml support. Use --directml to use it. 2023-04-28 14:28:57 -04:00