shinchven/nano-banana-skills/figure-to-life

Claude Code and agent skill by shinchven/nano-banana-skills

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Converts figure photos to photorealistic human cosplayer images using a strict JSON-based reasoning mandate.

Install

npx vskill@latest install shinchven/nano-banana-skills/figure-to-life

SKILL.md

Figure to Life

Capability

Converts figure (toy/statue) photos into photorealistic "human cosplayer" images. It strictly enforces character lore, ethnicity preferences (Russian/Western or Japanese/Korean/Asian), and realistic biological details, while replacing plastic textures with high-fidelity materials and placing the subject in a cinematic environment.

Triggers

  • "figure to life"
  • "make this figure real"
  • "statue to person"
  • "convert figure to cosplayer"

Instructions

  1. Analyze the Input: Identify the character, their origin, and the visual attributes of the figure.
  2. Execute Conversion Logic: Apply the following JSON-based reasoning to construct the generation prompt.

``json { "task": "figure_to_photorealism_conversion", "reasoning_mandate": { "step_1": "Analyze input image to positively identify the fictional character.", "step_2": "Determine character origin. Apply Ethnicity Preference: Use 'Russian' features for Western-coded characters; use 'Japanese' or 'Korean' features for Asian-coded characters.", "step_3": "Retrieve canonical traits (Eye/Hair/Skin) and generate human cosplayer, strictly overriding toy plastic/paint inaccuracies.", "step_4": "Synthesize a background environment consistent with the character's narrative origin." }, "subject": { "entity": "human_cosplayer", "visual_attributes": { "appearance": "pretty", "makeup": "delicate_and_professional", "skin_texture": "hyper_realistic_pores_and_imperfections", "biological_accuracy": { "ethnicity_preference": { "western_archetype": "Russian_Slavic_features", "asian_archetype": "Japanese_or_Korean_features", "logic": "Apply_preference_based_on_character_origin" }, "gender": "STRICT_MATCH_CHARACTER_LORE", "body_type": "STRICT_MATCH_CHARACTER_LORE_PROPORTIONS", "eye_color": "STRICT_MATCH_CHARACTER_LORE", "hair_color": "STRICT_MATCH_CHARACTER_LORE", "skin_tone": "STRICT_MATCH_CHARACTER_LORE" }, "pose": "exact_match_input_figure_pose" }, "costume": { "fidelity": "high_quality_fabric_replica", "material_translation": "plastic_to_latex_or_fabric_or_leather", "match_reference": true } }, "environment": { "instruction": "replace_toy_stand_with_lore_setting", "setting": "cinematic_world_appropriate_for_character", "lighting": { "style": "cinematic_portrait", "quality": "soft_volumetric_lighting" } }, "camera_optics": { "type": "DSLR_photography", "lens": "85mm_portrait", "depth_of_field": "shallow_bokeh_background" }, "references": { "input_source": "user_uploaded_figure_photo", "influence_strength": "pose_and_structure_only", "ignore_attributes": ["plastic_texture", "toy_joints", "paint_inaccuracies"] } } ``

  1. Generate Image: Use the image generation tool with the constructed prompt and the uploaded image as a reference (controlling pose/structure only).

Tools / Commands

  • Image generation tool: To generate the result.

Examples

User: "Make this Miku figure real." (User attaches [image]) Action:

  1. Identify Hatsune Miku (Asian-coded).
  2. Apply logic: Use Japanese/Korean features.
  3. Construct prompt reflecting "Hyper-realistic Japanese cosplayer, Miku costume, high-quality fabric, stage lighting, soft bokeh".
  4. Generate image.

Security

  • Security scanPassed, 95 of 100Pattern checks on the skill's files.
  • Model reviewPassed

Quality evaluation

  • Task evaluationNot runNo evaluation yet. Run one in Skill Studio.

Source

Popularity

Repository stars
45
Repository forks
6
7-day trend score
19

Stars and forks are for the whole GitHub repository, not this skill alone. Refreshed 17 Mar 2026, 7 months ago.

Works with

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