提交 0232a987 编写于 作者: A AUTOMATIC1111

set devices.dtype_unet correctly

上级 04cfcf91
......@@ -345,6 +345,7 @@ def load_model_weights(model, checkpoint_info: CheckpointInfo, state_dict, timer
if shared.cmd_opts.no_half:
model.float()
devices.dtype_unet = torch.float32
timer.record("apply float()")
else:
vae = model.first_stage_model
......@@ -362,9 +363,9 @@ def load_model_weights(model, checkpoint_info: CheckpointInfo, state_dict, timer
if depth_model:
model.depth_model = depth_model
devices.dtype_unet = torch.float16
timer.record("apply half()")
devices.dtype_unet = torch.float16 if model.is_sdxl and not shared.cmd_opts.no_half else model.model.diffusion_model.dtype
devices.unet_needs_upcast = shared.cmd_opts.upcast_sampling and devices.dtype == torch.float16 and devices.dtype_unet == torch.float16
model.first_stage_model.to(devices.dtype_vae)
......
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