Injects seed-dependent low-frequency phase from initial noise into the model's denoised prediction at step 0 via post-CFG hook. Different seeds produce different compositions instead of identical layouts. Key features: - Slerp phase rotation with shared rotation field (zero color artifacts) - 6th-order Butterworth LPF (steep composition/object frequency separation) - Per-bin tanh rotation budget (decouples diversity from tail risk) - High-frequency attenuation (prevents frequency shearing on distilled models) - Optional energy compensation - LTXAV video format compatible
10 lines
308 B
TOML
10 lines
308 B
TOML
[project]
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name = "comfyui-diversityboost"
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description = "Restore composition diversity for distilled diffusion models. Training-free frequency-domain phase injection."
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version = "1.0.0"
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license = "MIT"
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requires-python = ">=3.10"
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[project.urls]
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Repository = "https://github.com/facok/ComfyUI-DiversityBoost"
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