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assign devices.dtype early because it's needed before the model is loaded

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AUTOMATIC
2023-06-01 07:28:13 +03:00
parent e980a4bd88
commit f1533de982
2 changed files with 4 additions and 2 deletions
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2
modules/sd_models.py
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@@ -314,8 +314,6 @@ def load_model_weights(model, checkpoint_info: CheckpointInfo, state_dict, timer
timer.record("apply half()")
devices.dtype = torch.float32 if shared.cmd_opts.no_half else torch.float16
devices.dtype_vae = torch.float32 if shared.cmd_opts.no_half or shared.cmd_opts.no_half_vae else torch.float16
devices.dtype_unet = 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