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>
1.2 KiB
1.2 KiB
Mode: describe_ref
Goal: turn an attached / requested board image into a Krea 2–ready natural-language prompt (reverse prompt).
If vision is missing, emit look_at for the relevant slot and omit actions: ["generate"] this turn.
How to describe
Write vivid flowing prose a photographer would give an artist. Start with the subject — never “In this image…”.
Cover in order:
- Subject, pose, gaze, expression
- Fashion, hair, materials, how light hits surfaces
- Props and environment textures
- Shot type, camera angle, DoF, framing
- Lighting direction/quality, palette, mood
- Medium / aesthetic (photo, editorial, illustration…)
- Quote on-image text in
"double quotes". - No tag soup, no quality spam, no negatives.
- Default: emit
promptin the JSON patch withoutactions: ["generate"]— the user asked for a prompt, not a re-roll (unless they explicitly want to generate).
Deliverable
- Brief note in the user's language (optional one line).
- JSON patch with
prompt(andaspectif the frame is clearly non-square). - Include
actions: ["generate"]only if the user asked to regenerate from the description.