sn-image-imitate

Image style imitation scene skill (tier 1), relying on the sn-image-recognize, sn-text-optimize, and sn-image-generate tools provided by sn-image-base (tier 0).

Features:

• Extracts high-fidelity long caption from a reference image
• Rewrites caption according to user requested content change while preserving style and layout
• Enforces layout-lock constraints during caption rewrite
• Performs post-generation layout consistency review and bounded retries
• Returns structured process artifacts for debugging and reproducibility

Non-goals

• Pure neural style transfer without content change (use dedicated style-transfer tools instead)
• Local editing / inpainting of specific regions within the reference image
• Processing video or animation input (only single static images are supported)
• Batch generation from multiple reference images in one invocation
• Guaranteeing pixel-level fidelity to the reference; the skill targets layout and style consistency, not exact reproduction

Input Specification

• reference_image (string, required): local path or URL of the style reference image
• target_content (string, required): new content user wants in the generated image
• output_mode (string, default friendly): output mode, friendly or verbose
• aspect_ratio (string, default 16:9): output aspect ratio for generation
• image_size (string, default 2k): output image size preset
• max_attempts (int, default 3): maximum generation attempts for meeting layout consistency
• layout_threshold (float, default 0.75): minimum layout similarity score to accept result

Environment Variable

Dependency installation and API key configuration are for sn-image-base skill.

The minimum environment variables to configure sn-image-base skill running with SenseNova Token Plan: