comfyanonymous
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a57b0c797b
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Fix lowvram model merging.
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2 years ago |
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comfyanonymous
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f72780a7e3
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The new smart memory management makes this unnecessary.
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2 years ago |
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comfyanonymous
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30eb92c3cb
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Code cleanups.
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2 years ago |
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comfyanonymous
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51dde87e97
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Try to free enough vram for control lora inference.
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2 years ago |
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comfyanonymous
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cc44ade79e
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Always shift text encoder to GPU when the device supports fp16.
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2 years ago |
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comfyanonymous
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a6ef08a46a
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Even with forced fp16 the cpu device should never use it.
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2 years ago |
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comfyanonymous
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f081017c1a
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Save memory by storing text encoder weights in fp16 in most situations.
Do inference in fp32 to make sure quality stays the exact same.
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2 years ago |
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comfyanonymous
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0d7b0a4dc7
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Small cleanups.
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2 years ago |
Simon Lui
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9225465975
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Further tuning and fix mem_free_total.
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2 years ago |
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Simon Lui
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2c096e4260
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Add ipex optimize and other enhancements for Intel GPUs based on recent memory changes.
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2 years ago |
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comfyanonymous
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e9469e732d
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--disable-smart-memory now disables loading model directly to vram.
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2 years ago |
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comfyanonymous
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3aee33b54e
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Add --disable-smart-memory for those that want the old behaviour.
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2 years ago |
|
comfyanonymous
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2be2742711
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Fix issue with regular torch version.
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2 years ago |
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comfyanonymous
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89a0767abf
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Smarter memory management.
Try to keep models on the vram when possible.
Better lowvram mode for controlnets.
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2 years ago |
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comfyanonymous
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1ce0d8ad68
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Add CMP 30HX card to the nvidia_16_series list.
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2 years ago |
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comfyanonymous
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4a77fcd6ab
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Only shift text encoder to vram when CPU cores are under 8.
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2 years ago |
|
comfyanonymous
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3cd31d0e24
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Lower CPU thread check for running the text encoder on the CPU vs GPU.
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2 years ago |
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comfyanonymous
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22f29d66ca
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Try to fix memory issue with lora.
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2 years ago |
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comfyanonymous
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4760c29380
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Merge branch 'fix-AttributeError-module-'torch'-has-no-attribute-'mps'' of https://github.com/KarryCharon/ComfyUI
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2 years ago |
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comfyanonymous
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18885f803a
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Add MX450 and MX550 to list of cards with broken fp16.
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2 years ago |
|
comfyanonymous
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ff6b047a74
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Fix device print on old torch version.
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2 years ago |
|
comfyanonymous
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1679abd86d
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Add a command line argument to enable backend:cudaMallocAsync
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2 years ago |
|
comfyanonymous
|
5f57362613
|
Lower lora ram usage when in normal vram mode.
|
2 years ago |
|
comfyanonymous
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490771b7f4
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Speed up lora loading a bit.
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2 years ago |
KarryCharon
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3e2309f149
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fix mps miss import
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2 years ago |
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comfyanonymous
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0ae81c03bb
|
Empty cache after model unloading for normal vram and lower.
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2 years ago |
|
comfyanonymous
|
e7bee85df8
|
Add arguments to run the VAE in fp16 or bf16 for testing.
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2 years ago |
|
comfyanonymous
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ddc6f12ad5
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Disable autocast in unet for increased speed.
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2 years ago |
|
comfyanonymous
|
8d694cc450
|
Fix issue with OSX.
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2 years ago |
|
comfyanonymous
|
dc9d1f31c8
|
Improvements for OSX.
|
2 years ago |
|
comfyanonymous
|
2c4e0b49b7
|
Switch to fp16 on some cards when the model is too big.
|
2 years ago |
|
comfyanonymous
|
6f3d9f52db
|
Add a --force-fp16 argument to force fp16 for testing.
|
2 years ago |
|
comfyanonymous
|
1c1b0e7299
|
--gpu-only now keeps the VAE on the device.
|
2 years ago |
|
comfyanonymous
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3b6fe51c1d
|
Leave text_encoder on the CPU when it can handle it.
|
2 years ago |
|
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.
|
2 years ago |
|
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.
|
2 years ago |
|
comfyanonymous
|
62db11683b
|
Move unet to device right after loading on highvram mode.
|
2 years ago |
|
comfyanonymous
|
8248babd44
|
Use pytorch attention by default on nvidia when xformers isn't present.
Add a new argument --use-quad-cross-attention
|
2 years ago |
|
comfyanonymous
|
f7edcfd927
|
Add a --gpu-only argument to keep and run everything on the GPU.
Make the CLIP model work on the GPU.
|
2 years ago |
|
comfyanonymous
|
fed0a4dd29
|
Some comments to say what the vram state options mean.
|
2 years ago |
|
comfyanonymous
|
0a5fefd621
|
Cleanups and fixes for model_management.py
Hopefully fix regression on MPS and CPU.
|
2 years ago |
|
comfyanonymous
|
67892b5ac5
|
Refactor and improve model_management code related to free memory.
|
2 years ago |
space-nuko
|
499641ebf1
|
More accurate total
|
2 years ago |
|
space-nuko
|
b5dd15c67a
|
System stats endpoint
|
2 years ago |
|
comfyanonymous
|
5c38958e49
|
Tweak lowvram model memory so it's closer to what it was before.
|
2 years ago |
|
comfyanonymous
|
94680732d3
|
Empty cache on mps.
|
2 years ago |
|
comfyanonymous
|
eb448dd8e1
|
Auto load model in lowvram if not enough memory.
|
2 years 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.
More conservative xformers maximum_batch_area.
|
2 years ago |
|
comfyanonymous
|
678f933d38
|
maximum_batch_area for xformers.
Remove useless code.
|
2 years ago |