Don't load the model in SDTurboScheduler
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@ -107,8 +107,7 @@ class SDTurboScheduler:
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def get_sigmas(self, model, steps, denoise):
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start_step = 10 - int(10 * denoise)
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timesteps = torch.flip(torch.arange(1, 11) * 100 - 1, (0,))[start_step:start_step + steps]
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comfy.model_management.load_models_gpu([model])
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sigmas = model.model.model_sampling.sigma(timesteps)
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sigmas = model.get_model_object("model_sampling").sigma(timesteps)
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sigmas = torch.cat([sigmas, sigmas.new_zeros([1])])
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return (sigmas, )
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