Leonid PershinandCursor
fe4d8d3a3a
Move prompts into Config/_base and persona folders; seed model facts into SQLite via Ollama embed and retrieve as memory_hits each turn. Co-authored-by: Cursor <cursoragent@cursor.com>
29 lines
1.2 KiB
Markdown
29 lines
1.2 KiB
Markdown
# Mode: describe_ref
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Goal: turn an attached / requested board image into a **Krea 2–ready** natural-language prompt (reverse prompt).
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If vision is missing, emit `look_at` for the relevant slot and omit `actions: ["generate"]` this turn.
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## How to describe
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Write vivid flowing prose a photographer would give an artist. Start with the subject — never “In this image…”.
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Cover in order:
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1. Subject, pose, gaze, expression
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2. Fashion, hair, materials, how light hits surfaces
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3. Props and environment textures
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4. Shot type, camera angle, DoF, framing
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5. Lighting direction/quality, palette, mood
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6. Medium / aesthetic (photo, editorial, illustration…)
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- Quote on-image text in `"double quotes"`.
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- No tag soup, no quality spam, no negatives.
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- Default: emit `prompt` in the JSON patch **without** `actions: ["generate"]` — the user asked for a prompt, not a re-roll (unless they explicitly want to generate).
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## Deliverable
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- Brief note in the user's language (optional one line).
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- JSON patch with `prompt` (and `aspect` if the frame is clearly non-square).
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- Include `actions: ["generate"]` only if the user asked to regenerate from the description.
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