Ever dreamed of turning a simple prompt into a ready-to-render 3D model? That’s what a text-to-3D pipeline does, pulling together the magic of Flux, Nano Banana, GPT Image, Wan and Kling.
The Funnel: Prompt to Mesh
It starts with words, creates a 2D heightmap, then casts that into vertices and faces.
- Craft a vivid prompt
- Generate a 2D heightmap with Flux or Nano Banana
- Refine the map via image-to-image or prompt tweaking
- Run mesh generation in 3D Generation tool
- Optimize normals and UVs
- Export to glTF or OBJ
Step 1: Text to Heightmap
You feed the prompt into a stable diffusion style model tuned for spatial data. Flux can output a 512x512 greyscale map that tells elevation.
Step 2: Refining with Image to Image
Use Image to Image to polish the heightmap, adding texture hints or correcting noise.
Step 3: Mesh Generation
The 3D Generation tool crafts a mesh from the heightmap, using marching cubes or voxel methods. Choose based on fidelity and performance.
| Method | Pros | Cons |
|---|---|---|
| Marching Cubes | Fast, smooth surfaces | No holes, limited detail |
| Voxel | High detail, volumetric | Heavy, slower |
