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This Python script provides advanced parsing and scheduling functionality for prompts in Stable Diffusion models. It supports: Weighted and scheduled prompt modifications using brackets ([ ], ( ), { }) and the separator :. Parsing complex prompt structures for conditional generation, including grouped descriptions and de-emphasis weights. Multiconditional learned conditioning with support for dynamic scheduling over sampling steps. Attention parsing for fine-grained control over prompt focus (e.g., [(word:1.2)] for emphasis).
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