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@ -248,7 +248,10 @@ def sampling_function(model_function, x, timestep, uncond, cond, cond_scale, con
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c['transformer_options'] = transformer_options
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output = model_function(input_x, timestep_, **c).chunk(batch_chunks)
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if 'model_function_wrapper' in model_options:
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output = model_options['model_function_wrapper'](model_function, {"input": input_x, "timestep": timestep_, "c": c, "cond_or_uncond": cond_or_uncond}).chunk(batch_chunks)
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else:
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output = model_function(input_x, timestep_, **c).chunk(batch_chunks)
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del input_x
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model_management.throw_exception_if_processing_interrupted()
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