Commit Graph

86 Commits

Author SHA1 Message Date
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
comfyanonymous 5282f56434 Implement Linear hypernetworks.
Add a HypernetworkLoader node to use hypernetworks.
2023-04-23 12:35:25 -04:00
comfyanonymous 3696d1699a Add support for GLIGEN textbox model. 2023-04-19 11:06:32 -04:00
comfyanonymous deb2b93e79 Move code to empty gpu cache to model_management.py 2023-04-15 11:19:07 -04:00
comfyanonymous 1e1875f674 Print xformers version and warning about 0.0.18 2023-04-09 01:31:47 -04:00
comfyanonymous 64557d6781 Add a --force-fp32 argument to force fp32 for debugging. 2023-04-07 00:27:54 -04:00