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img2img for intel mac #1

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6 changes: 4 additions & 2 deletions ldm/models/diffusion/ddim.py
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Original file line number Diff line number Diff line change
Expand Up @@ -18,8 +18,10 @@ def __init__(self, model, schedule="linear", **kwargs):

def register_buffer(self, name, attr):
if type(attr) == torch.Tensor:
if attr.device != torch.device("cuda"):
attr = attr.to(torch.device("cuda"))
# if attr.device != torch.device("cuda"):
# attr = attr.to(torch.device("cuda"))
if attr.device != torch.device("mps"):
attr = attr.to(torch.float32).to(torch.device("mps")).contiguous()
setattr(self, name, attr)

def make_schedule(self, ddim_num_steps, ddim_discretize="uniform", ddim_eta=0., verbose=True):
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9 changes: 6 additions & 3 deletions scripts/img2img.py
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Original file line number Diff line number Diff line change
Expand Up @@ -40,7 +40,8 @@ def load_model_from_config(config, ckpt, verbose=False):
print("unexpected keys:")
print(u)

model.cuda()
# model.cuda()
model.to("mps")
model.eval()
return model

Expand Down Expand Up @@ -199,7 +200,8 @@ def main():
config = OmegaConf.load(f"{opt.config}")
model = load_model_from_config(config, f"{opt.ckpt}")

device = torch.device("cuda") if torch.cuda.is_available() else torch.device("cpu")
# device = torch.device("cuda") if torch.cuda.is_available() else torch.device("cpu")
device = torch.device("mps") if torch.backends.mps.is_available() else torch.device("cpu")
model = model.to(device)

if opt.plms:
Expand Down Expand Up @@ -242,7 +244,8 @@ def main():

precision_scope = autocast if opt.precision == "autocast" else nullcontext
with torch.no_grad():
with precision_scope("cuda"):
# with precision_scope("cuda"):
with nullcontext("mps"):
with model.ema_scope():
tic = time.time()
all_samples = list()
Expand Down