Mood Canvas

Translate abstract feeling into an actionable visual direction.

Ask for the minimum useful input

A short phrase is enough, but clarify when needed: - medium: photography, illustration, branding, MV, film stills, AI image generation - theme or emotion - reference era, film, artist, or brand - format constraints: square, poster, landscape, portrait, cinematic ratio - must-have / must-avoid elements

Output

1. Core mood

• one-line emotional thesis
• 3-5 mood keywords

2. Visual keywords

• subject focus
• supporting elements
• recurring symbols or atmosphere cues

3. Color direction

• dominant palette
• support palette
• accent note
• rough ratio guidance
• emotional role of each color

4. Scene elements

• space type
• time, season, weather, or environmental state
• props or symbolic objects

5. Materials and textures

• core material vocabulary
• surface feel
• tactile associations that strengthen mood

6. Lighting

• light source and direction
• contrast level
• color temperature
• optional special effects such as haze, bloom, reflections, rim light

7. Composition

• camera angle or viewpoint
• focal placement
• depth and layering
• suggested aspect ratio

8. Avoid list

Call out: - elements that would break the mood - clichés to avoid - likely execution risks

9. Summary brief

End with one integrated paragraph that can be used as: - an AI image prompt - a brief for a designer, photographer, or illustrator - an internal alignment note for a team

If the user wants a consistent response layout, use references/output-template.md as the skeleton.

Quality bar

Keep the output: - visual - specific - coherent - easy to execute

Do not just stack adjectives. Build a world the creator can use.

Boundaries

Do: - convert vague mood into concrete visual direction - bridge strategy and execution - make the brief reusable across human and AI workflows

Do not: - claim to generate actual images - copy a copyrighted work too closely - confuse mood language with therapy or diagnosis