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ComfyUI
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Speed up inference on nvidia 10 series on Linux.

This commit is contained in:
comfyanonymous 2024-09-01 17:29:31 -04:00
parent b643eae08b
commit 8d31a6632f
1 changed files with 7 additions and 2 deletions
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9
comfy/model_management.py
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@ -370,8 +370,10 @@ def offloaded_memory(loaded_models, device):
offloaded_mem += m.model_offloaded_memory()
return offloaded_mem
WINDOWS = any(platform.win32_ver())
EXTRA_RESERVED_VRAM = 400 * 1024 * 1024
if any(platform.win32_ver()):
if WINDOWS:
EXTRA_RESERVED_VRAM = 600 * 1024 * 1024 #Windows is higher because of the shared vram issue
if args.reserve_vram is not None:
@ -1002,7 +1004,10 @@ def should_use_fp16(device=None, model_params=0, prioritize_performance=True, ma
nvidia_10_series = ["1080", "1070", "titan x", "p3000", "p3200", "p4000", "p4200", "p5000", "p5200", "p6000", "1060", "1050", "p40", "p100", "p6", "p4"]
for x in nvidia_10_series:
if x in props.name.lower():
return True
if WINDOWS or manual_cast:
return True
else:
return False #weird linux behavior where fp32 is faster
if manual_cast:
free_model_memory = maximum_vram_for_weights(device)