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Add support for --upcast-sampling
with SD XL
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@@ -326,7 +326,7 @@ def load_model_weights(model, checkpoint_info: CheckpointInfo, state_dict, timer
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timer.record("apply half()")
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devices.dtype_unet = model.model.diffusion_model.dtype
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devices.dtype_unet = torch.float16 if model.is_sdxl and not shared.cmd_opts.no_half else model.model.diffusion_model.dtype
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devices.unet_needs_upcast = shared.cmd_opts.upcast_sampling and devices.dtype == torch.float16 and devices.dtype_unet == torch.float16
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model.first_stage_model.to(devices.dtype_vae)
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