comfyanonymous
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8594c8be4d
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Empty the cache when torch cache is more than 25% free mem.
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1 year ago |
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comfyanonymous
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c8013f73e5
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Add some Quadro cards to the list of cards with broken fp16.
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1 year ago |
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comfyanonymous
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fd4c5f07e7
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Add a --bf16-unet to test running the unet in bf16.
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1 year ago |
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comfyanonymous
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9a55dadb4c
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Refactor code so model can be a dtype other than fp32 or fp16.
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1 year ago |
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comfyanonymous
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88733c997f
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pytorch_attention_enabled can now return True when xformers is enabled.
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1 year ago |
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comfyanonymous
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20d3852aa1
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Pull some small changes from the other repo.
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1 year ago |
Simon Lui
|
eec449ca8e
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Allow Intel GPUs to LoRA cast on GPU since it supports BF16 natively.
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1 year ago |
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comfyanonymous
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1cdfb3dba4
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Only do the cast on the device if the device supports it.
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1 year ago |
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comfyanonymous
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321c5fa295
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Enable pytorch attention by default on xpu.
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1 year ago |
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comfyanonymous
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0966d3ce82
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Don't run text encoders on xpu because there are issues.
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1 year ago |
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comfyanonymous
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1938f5c5fe
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Add a force argument to soft_empty_cache to force a cache empty.
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1 year ago |
|
Simon Lui
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4a0c4ce4ef
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Some fixes to generalize CUDA specific functionality to Intel or other GPUs.
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1 year ago |
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comfyanonymous
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b8c7c770d3
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Enable bf16-vae by default on ampere and up.
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1 year ago |
|
comfyanonymous
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a57b0c797b
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Fix lowvram model merging.
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1 year 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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1 year ago |
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comfyanonymous
|
30eb92c3cb
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Code cleanups.
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1 year ago |
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comfyanonymous
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51dde87e97
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Try to free enough vram for control lora inference.
|
1 year ago |
|
comfyanonymous
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cc44ade79e
|
Always shift text encoder to GPU when the device supports fp16.
|
1 year ago |
|
comfyanonymous
|
a6ef08a46a
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Even with forced fp16 the cpu device should never use it.
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1 year ago |
|
comfyanonymous
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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.
|
1 year ago |
|
comfyanonymous
|
0d7b0a4dc7
|
Small cleanups.
|
1 year ago |
|
Simon Lui
|
9225465975
|
Further tuning and fix mem_free_total.
|
1 year ago |
|
Simon Lui
|
2c096e4260
|
Add ipex optimize and other enhancements for Intel GPUs based on recent memory changes.
|
1 year ago |
|
comfyanonymous
|
e9469e732d
|
--disable-smart-memory now disables loading model directly to vram.
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1 year ago |
|
comfyanonymous
|
3aee33b54e
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Add --disable-smart-memory for those that want the old behaviour.
|
1 year ago |
|
comfyanonymous
|
2be2742711
|
Fix issue with regular torch version.
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1 year ago |
|
comfyanonymous
|
89a0767abf
|
Smarter memory management.
Try to keep models on the vram when possible.
Better lowvram mode for controlnets.
|
1 year ago |
|
comfyanonymous
|
1ce0d8ad68
|
Add CMP 30HX card to the nvidia_16_series list.
|
1 year ago |
|
comfyanonymous
|
4a77fcd6ab
|
Only shift text encoder to vram when CPU cores are under 8.
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1 year ago |
|
comfyanonymous
|
3cd31d0e24
|
Lower CPU thread check for running the text encoder on the CPU vs GPU.
|
1 year ago |
|
comfyanonymous
|
22f29d66ca
|
Try to fix memory issue with lora.
|
1 year ago |
|
comfyanonymous
|
18885f803a
|
Add MX450 and MX550 to list of cards with broken fp16.
|
1 year ago |
|
comfyanonymous
|
ff6b047a74
|
Fix device print on old torch version.
|
1 year ago |
|
comfyanonymous
|
1679abd86d
|
Add a command line argument to enable backend:cudaMallocAsync
|
1 year ago |
|
comfyanonymous
|
5f57362613
|
Lower lora ram usage when in normal vram mode.
|
1 year ago |
|
comfyanonymous
|
490771b7f4
|
Speed up lora loading a bit.
|
1 year ago |
KarryCharon
|
3e2309f149
|
fix mps miss import
|
1 year ago |
|
comfyanonymous
|
0ae81c03bb
|
Empty cache after model unloading for normal vram and lower.
|
1 year ago |
|
comfyanonymous
|
e7bee85df8
|
Add arguments to run the VAE in fp16 or bf16 for testing.
|
1 year ago |
|
comfyanonymous
|
ddc6f12ad5
|
Disable autocast in unet for increased speed.
|
1 year ago |
|
comfyanonymous
|
8d694cc450
|
Fix issue with OSX.
|
1 year ago |
|
comfyanonymous
|
dc9d1f31c8
|
Improvements for OSX.
|
1 year ago |
|
comfyanonymous
|
2c4e0b49b7
|
Switch to fp16 on some cards when the model is too big.
|
1 year ago |
|
comfyanonymous
|
6f3d9f52db
|
Add a --force-fp16 argument to force fp16 for testing.
|
1 year ago |
|
comfyanonymous
|
1c1b0e7299
|
--gpu-only now keeps the VAE on the device.
|
1 year ago |
|
comfyanonymous
|
3b6fe51c1d
|
Leave text_encoder on the CPU when it can handle it.
|
1 year 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.
|
1 year 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.
|
1 year ago |
|
comfyanonymous
|
62db11683b
|
Move unet to device right after loading on highvram mode.
|
1 year ago |
|
comfyanonymous
|
8248babd44
|
Use pytorch attention by default on nvidia when xformers isn't present.
Add a new argument --use-quad-cross-attention
|
1 year ago |
