Image-to-Prompt Reconstruction
Reverse-engineer an authorized reference image into a reusable prompt template and a concrete generation prompt.
Works with
Image-to-Prompt Reconstruction
When to use
Reverse-engineer an authorized reference image into a reusable prompt template and a concrete generation prompt.
Workflow
- Confirm the user owns the input or has permission to process it. Collect the source material, audience, output format, and acceptance criteria.
- Separate observed facts and user-provided constraints from inference. Ask for missing information instead of inventing it.
- Translate the brief into subject, composition, style, lighting, color, text, aspect ratio, and negative constraints.
- Use <skill-tag>skill:eaa2a601-3d68-59cc-849c-be2dd4948ead</skill-tag> for the connected visual workflow, then compare the result with the approved brief.
Output contract
Return the input assumptions, the approved plan, the generated or analyzed result, uncertainty and limitations, and a concise verification checklist. Preserve source links and provider-returned identifiers when available. Stop if the required connected capability is unavailable; do not substitute local scripts, package installation, or embedded credentials.
Safety and review
Do not upload private or sensitive media without explicit authorization. Do not claim certainty beyond the evidence. Require review before externally visible, paiSkill · Nano Banana Image Promptsse
This Aident-native re-authoring is based on the pinned upstream source, discovered through ModelScope, and used under MIT. It preserves the upstream workflow goal while removing local executable, credential, and package assumptions.