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Merge branch 'master' of https://github.com/GaidamakUA/ComfyUI

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comfyanonymous 2023-03-24 13:56:43 -04:00
commit 3c6ff8821c
1 changed files with 19 additions and 4 deletions
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23
comfy/model_management.py
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@ -4,6 +4,7 @@ NO_VRAM = 1
LOW_VRAM = 2
NORMAL_VRAM = 3
HIGH_VRAM = 4
MPS = 5
accelerate_enabled = False
vram_state = NORMAL_VRAM
@ -61,7 +62,8 @@ if "--novram" in sys.argv:
set_vram_to = NO_VRAM
if "--highvram" in sys.argv:
vram_state = HIGH_VRAM
if torch.backends.mps.is_available():
vram_state = MPS
if set_vram_to == LOW_VRAM or set_vram_to == NO_VRAM:
try:
@ -79,7 +81,7 @@ if set_vram_to == LOW_VRAM or set_vram_to == NO_VRAM:
if "--cpu" in sys.argv:
vram_state = CPU
print("Set vram state to:", ["CPU", "NO VRAM", "LOW VRAM", "NORMAL VRAM", "HIGH VRAM"][vram_state])
print("Set vram state to:", ["CPU", "NO VRAM", "LOW VRAM", "NORMAL VRAM", "HIGH VRAM", "MPS"][vram_state])
current_loaded_model = None
@ -128,6 +130,10 @@ def load_model_gpu(model):
current_loaded_model = model
if vram_state == CPU:
pass
elif vram_state == MPS:
mps_device = torch.device("mps")
real_model.to(mps_device)
pass
elif vram_state == NORMAL_VRAM or vram_state == HIGH_VRAM:
model_accelerated = False
real_model.cuda()
@ -146,6 +152,9 @@ def load_controlnet_gpu(models):
global vram_state
if vram_state == CPU:
return
if vram_state == MPS:
return
if vram_state == LOW_VRAM or vram_state == NO_VRAM:
#don't load controlnets like this if low vram because they will be loaded right before running and unloaded right after
@ -173,6 +182,8 @@ def unload_if_low_vram(model):
return model
def get_torch_device():
if vram_state == MPS:
return torch.device("mps")
if vram_state == CPU:
return torch.device("cpu")
else:
@ -195,7 +206,7 @@ def get_free_memory(dev=None, torch_free_too=False):
if dev is None:
dev = get_torch_device()
if hasattr(dev, 'type') and dev.type == 'cpu':
if hasattr(dev, 'type') and (dev.type == 'cpu' or dev.type == 'mps'):
mem_free_total = psutil.virtual_memory().available
mem_free_torch = mem_free_total
else:
@ -224,8 +235,12 @@ def cpu_mode():
global vram_state
return vram_state == CPU
def mps_mode():
global vram_state
return vram_state == MPS
def should_use_fp16():
if cpu_mode():
if cpu_mode() or mps_mode():
return False #TODO ?
if torch.cuda.is_bf16_supported():