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SD2 v autodetection fix
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@ -58,12 +58,13 @@ def is_using_v_parameterization_for_sd2(state_dict):
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with torch.no_grad():
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unet_sd = {k.replace("model.diffusion_model.", ""): v for k, v in state_dict.items() if "model.diffusion_model." in k}
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unet.load_state_dict(unet_sd, strict=True)
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unet.to(device=device, dtype=torch.float)
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unet.to(device=device, dtype=devices.dtype_unet)
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test_cond = torch.ones((1, 2, 1024), device=device) * 0.5
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x_test = torch.ones((1, 4, 8, 8), device=device) * 0.5
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out = (unet(x_test, torch.asarray([999], device=device), context=test_cond) - x_test).mean().item()
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with devices.autocast():
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out = (unet(x_test, torch.asarray([999], device=device), context=test_cond) - x_test).mean().cpu().item()
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return out < -1
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