banana-objects

name: banana-objects description: >- Generate product photography and object images — product shots, still life, packaging mockups, food photography, and item compositions with studio lighting. Triggers on: product photo, product shot, still life, object, packaging, food photo, mockup, e-commerce photo, item photography. allowed-tools: Bash(uv:), Bash(ls:), Read

Object & Product Photography

Input: $ARGUMENTS (optional — product description and intended use)

If $ARGUMENTS is provided, use it as the product brief and skip to prompt building. If empty, ask about the product and context.

Requirements

• uv installed
• GEMINI_API_KEY environment variable set (get one at https://aistudio.google.com/apikey)

Workflow

1. Understand — Clarify the product, surface, and intended use (catalog, social, editorial).
2. Build prompt — Apply the Prompt Formula below to construct a detailed, positive-framed image description.
3. Configure — Select aspect ratio and resolution from the Domain Defaults table.
4. Generate — Run the script.
5. Deliver — Report the saved file path. Do NOT read the image file back. Offer to iterate: adjust angle, lighting, or surface.

Prompt Formula

[Object with Material Description] + [Resting/Floating on Surface] + [Studio or Lifestyle Setting] + [Center-Weighted Hero Composition] + [Studio Photography, Controlled Lighting]

Domain Defaults

Lighting guidance: Use soft diffused studio lighting as the default. Switch to backlit setups for glass and translucent materials to emphasize clarity and refraction.

Key Instructions

• Material properties -- Always describe the material explicitly: matte aluminum, glossy ceramic, brushed steel, frosted glass, soft-touch rubber. Material language drives realism.
• Surface specification -- State the surface the object rests on: marble slab, reclaimed wooden table, white sweep, linen cloth, terrazzo countertop.
• Food photography -- Include sensory texture cues: rising steam, a drip of honey mid-fall, glistening condensation, crispy golden edges, powdered sugar dusting.
• Sense of scale -- Place a contextual element nearby (a hand, a coin, a coffee cup) or describe relative size so the viewer anchors the object's dimensions.

Generation

uv run "${CLAUDE_PLUGIN_ROOT}/scripts/banana.py" \
  --prompt "<detailed prompt following the formula>" \
  --output "<YYYY-MM-DD-HH-MM-SS-descriptive-name>.png" \
  --resolution 2K \
  --aspect-ratio <ratio from Domain Defaults> \
  --model gemini-3-pro-image-preview

Editing (with input images)

When the user provides an existing product photo to modify (e.g., change background, adjust lighting, add props):

uv run "${CLAUDE_PLUGIN_ROOT}/scripts/banana.py" \
  --prompt "<edit instruction: what to change AND what to keep>" \
  --output "<YYYY-MM-DD-HH-MM-SS-descriptive-name>.png" \
  --input-image "/path/to/source.png" \
  --resolution 2K \
  --aspect-ratio <ratio>

For edits, describe both the change and what must stay identical:

"Replace the white background with a lifestyle scene on a rustic wooden table with warm morning light. Keep the product, its label, color, and proportions exactly the same."

Up to 14 input images can be passed (repeat --input-image for each).

References

See references/prompts.md for ready-to-use example prompts covering common product photography scenarios.