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Fix alphas cumprod
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@ -396,6 +396,8 @@ def load_model_weights(model, checkpoint_info: CheckpointInfo, state_dict, timer
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enable_fp8 = True
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elif model.is_sdxl and shared.cmd_opts.opt_unet_fp8_storage_xl:
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enable_fp8 = True
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else:
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enable_fp8 = False
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if enable_fp8:
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devices.fp8 = True
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@ -416,7 +418,6 @@ def load_model_weights(model, checkpoint_info: CheckpointInfo, state_dict, timer
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module.to(torch.float8_e4m3fn)
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model.model.diffusion_model = model.model.diffusion_model.to(torch.float8_e4m3fn)
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timer.record("apply fp8 unet")
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model.alphas_cumprod = model.alphas_cumprod.to(torch.float32)
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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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@ -93,7 +93,7 @@ def extend_sdxl(model):
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model.parameterization = "v" if isinstance(model.denoiser.scaling, sgm.modules.diffusionmodules.denoiser_scaling.VScaling) else "eps"
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discretization = sgm.modules.diffusionmodules.discretizer.LegacyDDPMDiscretization()
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model.alphas_cumprod = torch.asarray(discretization.alphas_cumprod, device=devices.device, dtype=dtype)
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model.alphas_cumprod = torch.asarray(discretization.alphas_cumprod, device=devices.device, dtype=torch.float32)
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model.conditioner.wrapped = torch.nn.Module()
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