good params
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@ -847,7 +847,7 @@ if __name__ == "__main__":
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dh = DiffusersHolder(pipe)
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# %% Next let's set up all parameters
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depth_strength = 0.5 # Specifies how deep (in terms of diffusion iterations the first branching happens)
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t_compute_max_allowed = 3 # Determines the quality of the transition in terms of compute time you grant it
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t_compute_max_allowed = 5 # Determines the quality of the transition in terms of compute time you grant it
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num_inference_steps = 4
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size_output = (512, 512)
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@ -867,11 +867,11 @@ if __name__ == "__main__":
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lb.set_negative_prompt(negative_prompt)
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lb.set_guidance_scale(0)
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lb.branch1_crossfeed_power = 0.3
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lb.branch1_crossfeed_power = 0.0
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lb.branch1_crossfeed_range = 0.6
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lb.branch1_crossfeed_decay = 0.99
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lb.parental_crossfeed_power = 0.8
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lb.parental_crossfeed_power = 1.0
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lb.parental_crossfeed_power_decay = 1.0
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lb.parental_crossfeed_range = 1.0
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