110 Commits (e60ca6929a999f53a4eeb62cc80f70b1cd7a0acf)

Author SHA1 Message Date
comfyanonymous f7edcfd927 Add a --gpu-only argument to keep and run everything on the GPU. 1 year ago
comfyanonymous fed0a4dd29 Some comments to say what the vram state options mean. 1 year ago
comfyanonymous 0a5fefd621 Cleanups and fixes for model_management.py 1 year ago
comfyanonymous 67892b5ac5 Refactor and improve model_management code related to free memory. 1 year ago
space-nuko 499641ebf1 More accurate total 1 year ago
space-nuko b5dd15c67a System stats endpoint 1 year ago
comfyanonymous 5c38958e49 Tweak lowvram model memory so it's closer to what it was before. 1 year ago
comfyanonymous 94680732d3 Empty cache on mps. 1 year ago
comfyanonymous eb448dd8e1 Auto load model in lowvram if not enough memory. 1 year ago
comfyanonymous 3a1f47764d Print the torch device that is used on startup. 2 years ago
comfyanonymous 6fc4917634 Make maximum_batch_area take into account python2.0 attention function. 2 years ago
comfyanonymous 678f933d38 maximum_batch_area for xformers. 2 years ago
comfyanonymous cb1551b819 Lowvram mode for gligen and fix some lowvram issues. 2 years ago
comfyanonymous 6ee11d7bc0 Fix import. 2 years ago
comfyanonymous bae4fb4a9d Fix imports. 2 years ago
comfyanonymous 056e5545ff Don't try to get vram from xpu or cuda when directml is enabled. 2 years ago
comfyanonymous 2ca934f7d4 You can now select the device index with: --directml id 2 years ago
comfyanonymous 3baded9892 Basic torch_directml support. Use --directml to use it. 2 years ago
comfyanonymous 5282f56434 Implement Linear hypernetworks. 2 years ago
comfyanonymous 3696d1699a Add support for GLIGEN textbox model. 2 years ago
comfyanonymous deb2b93e79 Move code to empty gpu cache to model_management.py 2 years ago
comfyanonymous 1e1875f674 Print xformers version and warning about 0.0.18 2 years ago
comfyanonymous 64557d6781 Add a --force-fp32 argument to force fp32 for debugging. 2 years ago
comfyanonymous bceccca0e5 Small refactor. 2 years ago
藍+85CD 3e2608e12b Fix auto lowvram detection on CUDA 2 years ago
藍+85CD 7cb924f684 Use separate variables instead of `vram_state` 2 years ago
藍+85CD 84b9c0ac2f Import intel_extension_for_pytorch as ipex 2 years ago
EllangoK e5e587b1c0 seperates out arg parser and imports args 2 years ago
藍+85CD 37713e3b0a Add basic XPU device support 2 years ago
comfyanonymous e46b1c3034 Disable xformers in VAE when xformers == 0.0.18 2 years ago
Francesco Yoshi Gobbo f55755f0d2
code cleanup 2 years ago
Francesco Yoshi Gobbo cf0098d539
no lowvram state if cpu only 2 years ago
comfyanonymous 4adcea7228 I don't think controlnets were being handled correctly by MPS. 2 years ago
Yurii Mazurevich fc71e7ea08 Fixed typo 2 years ago
Yurii Mazurevich 4b943d2b60 Removed unnecessary comment 2 years ago
Yurii Mazurevich 89fd5ed574 Added MPS device support 2 years ago
comfyanonymous 3ed4a4e4e6 Try again with vae tiled decoding if regular fails because of OOM. 2 years ago
comfyanonymous 9d0665c8d0 Add laptop quadro cards to fp32 list. 2 years ago
comfyanonymous ee46bef03a Make --cpu have priority over everything else. 2 years ago
comfyanonymous 83f23f82b8 Add pytorch attention support to VAE. 2 years ago
comfyanonymous a256a2abde --disable-xformers should not even try to import xformers. 2 years ago
comfyanonymous 0f3ba7482f Xformers is now properly disabled when --cpu used. 2 years ago
comfyanonymous afff30fc0a Add --cpu to use the cpu for inference. 2 years ago
comfyanonymous ebfcf0a9c9 Fix issue. 2 years ago
comfyanonymous fed315a76a To be really simple CheckpointLoaderSimple should pick the right type. 2 years ago
comfyanonymous c1f5855ac1 Make some cross attention functions work on the CPU. 2 years ago
comfyanonymous 69cc75fbf8 Add a way to interrupt current processing in the backend. 2 years ago
comfyanonymous 2c5f0ec681 Small adjustment. 2 years ago
comfyanonymous 86721d5158 Enable highvram automatically when vram >> ram 2 years ago
comfyanonymous 2326ff1263 Add: --highvram for when you want models to stay on the vram. 2 years ago