Product Visuals

Produce a consistent visual set for one product: packshots, lifestyle scenes, detail shots, and short videos - from a text description or from the user's real product photos.

AWS media templates

If a media template is attached, treat the downloaded file under .navin/resources/media-templates/ as the master reference (format, lighting, crop). Generate variations from that file. If the download is missing, stop and tell the user.

Tooling

• generate_image - all still visuals. Pass the user's product photo (or a validated generated packshot) in reference_images to keep the product identical across the whole set.
• generate_video - 360 turns, hero animations, unboxing-style clips; use reference_image with the validated packshot.
• visual_qa - mandatory final gate for every still. Pass the authoritative product photo in references and claim product_fidelity; use marketplace, ratio, dimensions, alpha and safe-zone requirements for the placement.
• exec + Pillow - exact marketplace sizes, white-background compliance checks, batch renaming.
• Interactive 3D (user asked to orbit the product on a page): three or @react-three/fiber + @react-three/drei on that web page, with the validated packshot as the still fallback. Never put that canvas on a PowerPoint slide.
• Missing tools → deliver the shot list + exact prompts and point to Settings → Image / Video.

The standard e-commerce set

For one product, produce in this order:

1. Master packshot - white/neutral background, soft studio lighting, slight shadow. Validate with the user before declining anything.
2. Angles - 3/4 left, 3/4 right, back, top (each via reference_images from the master).
3. Detail shots - texture, label, ports/seams - whatever sells the product.
4. Lifestyle scenes - product in real context, matching the brand's world (2-3 scenes).
5. Scale shot - product next to a familiar object or in-hand.
6. Short video - 6-8s rotation or hero animation from the master packshot.

Prompt patterns

Packshot:

generate_image(
  prompt="Professional e-commerce packshot of [product], pure white background, soft even studio lighting, subtle contact shadow, centered, no props, ultra sharp product photography",
  reference_images=["/path/to/user-product-photo.jpg"],
  aspect_ratio="1:1", image_size="2K"
)

Lifestyle:

generate_image(
  prompt="Use the reference image. Place this exact product on a rustic oak kitchen table, morning sunlight through a window, shallow depth of field, warm lifestyle photography, keep the product and its label strictly unchanged",
  reference_images=["<master packshot path>"],
  aspect_ratio="4:3"
)

360/hero video:

generate_video(
  prompt="Slow elegant 360-degree rotation of this exact product on a seamless white background, studio lighting, keep product and label unchanged",
  reference_image="<master packshot path>",
  aspect_ratio="1:1", duration_seconds=8
)

Always include "keep the product and its label strictly unchanged" when working from references.

Marketplace compliance (check before delivering)

Platform	Main image	Notes
Amazon	pure white (RGB 255,255,255), product ≥85% of frame, ≥1600px	no text, logo, watermark
Shopify/site	free, 1:1 or 4:5 recommended, ≥2048px	consistent set
Instagram Shop	1:1, lifestyle allowed	product visible, low text

Use Pillow via exec to verify pixel dimensions and background whiteness, and to export exact sizes. Then call visual_qa for each deliverable. Deliver only PASS assets. Rework WARN assets and never deliver BLOCK assets automatically. A product-fidelity claim without an authoritative reference is BLOCK, never PASS.

Rules

• One master, validated early - everything declines from it via reference_images.
• Never alter the product itself: shape, colors, label, and branding stay exact.
• Deliver via the message tool with artifact paths in media; keep raw paths internal.
• Name files predictably: sku_packshot_front.png, sku_lifestyle_kitchen.png, etc.
• For ad-oriented declinations (headline space, platform ratios, CTA), continue with ad-creative-generator.