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Photo-to-Isometric: Reality Slice Generator

Image promptImagePublic domain (CC0)Editor pick on prompts.chat
68score

Prompt

{
  "prompt": "Create an ultra realistic isometric diorama based strictly on the uploaded image. Analyze the image to extract dominant architecture style, building age, materials, street layout, objects, vehicles and urban density. Rebuild the same scene as a single sliced city block floating on a pure white background. Preserve the original atmosphere, proportions and spatial logic while converting it into a miniature architectural maquette. Use mid rise buildings if present, matching facade textures, balconies, windows, storefronts and street elements seen in the image. Keep only elements visible in the source image. Remove anything not present. Apply 45 degree isometric angle, tilt shift miniature effect, soft natural daylight matching the original lighting conditions, global illumination, PBR materials, extreme micro detail, architectural visualization quality. Clean studio lighting. No sky, no horizon.",
  "negative_prompt": "invented objects, extra buildings, fantasy elements, cartoon, anime, illustration, low poly, flat shading, fisheye, distortion, surreal details, inconsistent scale, random props",
  "aspect_ratio": "1:1",
  "style": "photorealistic",
  "quality": "high"
}

Context cost: ≈300 tokens when used.

Why this score

Quality checklist40/40
Community votes11/30
Editor pick15/15
Fill-in fields0/10
Discussion2/5

Quality checklist

  • Describes the subject: yes
  • Names a style: yes
  • Specifies lighting: yes
  • Specifies camera or composition: yes
  • Sets quality or detail: yes
  • Gives size, duration or parameters: yes

The checklist is automatic and applies the same rules to every prompt. It checks structure, not whether the output is good. Prompt scores aren't comparable with tool scores. How we rank

Security

Scanned Nov 4, 2026 at the text shown on this page, with Cisco's open-source skill-scanner.

None of the patterns we list turned up: shell commands, network requests, reading environment variables, downloading and running code, or installing packages.

A scan lists patterns in the code. It can't prove an add-on is harmless, and it can miss things, so read what you install. How we scan

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