
Realistic die-cast collector model with satin paint, brushed silver trim and accurate details
Add a photo to start
How this template works
Image Studio turns your car photo into a clean collector model on a display base, then Image to 3D builds it, ready for your slicer.
1Open Image StudioStep 1 · Image StudioBuild the scale model
Image Studio keeps the body shape, colour, wheels and lights, removes the street and number plate text, and puts the car on a flat display base.
GPT Image 2.5 Flare · low quality · 1K
2Open Image to 3DStep 2 · Image to 3DBuild the 3D model
Image to 3D (Prism 3.1) builds the model with Fast textures and Standard mesh quality.
Prism 3.1 · Fast textures · Standard mesh
Tips for the best result
- Photograph the car from a front corner so the front and one side both show.
- Clean, unshaded daylight keeps the paint colour true.
- Vans, trucks, motorbikes and tractors work too.
Do it yourself for more control
- Add mods in the Image Studio prompt: a roof box, a spoiler, a surfboard on the roof.
- Use Ultra mesh quality for sharper grilles and wheel rims.
- Print it at 1:43 scale (about 10 cm for a hatchback) to match classic die-cast collections.
Good to know
Interiors and tiny badges aren't modelled; the windows are solid, tinted surfaces.
Made with this template
The photo in the corner of each one is what went in.




Each example is an actual run of this template at Standard quality, made from a realistic sample photo.
Run this template from Claude, ChatGPT or Cursor
Connect the 3D AI Studio MCP to your AI assistant and paste the brief into the chat. It runs the same steps with the same prompts and settings, shows you the result in the conversation and saves it to your library.
- Connect the MCP once in your account settings. It's included in every paid plan.
- Copy the brief.
- Paste it into a new chat. Your assistant opens an upload card for your photo, then runs every step.
upload_imageedit_image_gptgenerate_prism_3_1convert_modelget_generationshow_generationUse the 3D AI Studio MCP to run the "Car Scale Model" template (https://www.3daistudio.com/templates/car-model-from-photo) for me. My photo(s): I'll hand them over when you call upload_image. Style: Die-cast Display: Display base Follow these steps in order. The prompts and settings are the template's own, so use them word for word. 1. Get my photos Call upload_image with purpose "Photo for the Car Scale Model template" so I can hand them over (images attached in the chat don't reach the MCP). I can upload up to 3 photos of the same subject; use all of them. 2. Build the scale model Call edit_image_gpt with my uploaded photo(s) in images, quality "low", output_format "png" and this prompt: """ The reference photo(s) show a real vehicle. Turn it into a single collectible scale model of exactly that vehicle: keep its body shape, proportions, colour, wheels, lights, grille and recognisable details. Remove every brand badge, emblem and logo, including the one on the front, leaving smooth plain surfaces, and leave the number plates blank. All wheels rest on a small flat rectangular display base. Three-quarter front view from slightly above, the entire model and base visible with generous empty margin. Remove the street, people and other cars. Isolated on a seamless pure white (#FFFFFF) background, soft even studio lighting, no shadows on the background, no text. Finish: realistic die-cast collector model with satin paint, brushed silver trim and accurate details. Light and surfaces: soft, even, diffuse studio light from the front, and at most a soft satin sheen: no mirror-like gloss, no bright white hot spots or glare, and no reflections of lights, windows or surroundings. """ 3. Build the 3D model Call generate_prism_3_1 with the task_id of the image from step 2 in images, texture_model "3.5", texture_quality "fast", geometry_quality "standard", pbr false, lighting_removal false. 4. Export Export it for printing: call convert_model on the 3D model with output_format "3mf" (or "stl" if I ask for it), plus max_size and unit "cm" if I gave you a print size. After each generation call, keep polling get_generation with its task_id until it completes, then show me the result with show_generation before you start the next step.
Or automate it with the API
The same tools are available through the 3D AI Studio API. Call them from your own code to make hundreds at once, build them into your app or run them in your pipeline.
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