ashawkey/stable-dreamfusion

Health v2 · maintenance only

Adoption not part of the score

8854 stars · 770 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

A PyTorch implementation of Dreamfusion that generates 3D models from text prompts or images using NeRF combined with Stable Diffusion guidance. It supports Instant-NGP and vanilla NeRF backbones and can export generated 3D content as meshes.

Use cases

• generate 3D models from text prompts
• create 3D assets from a single image
• export NeRF scenes as textured meshes
• experiment with score distillation sampling for 3D generation
• build a 3D content generation pipeline with stable diffusion
• render novel views of AI-generated 3D objects

When to choose

• you want an open-source, hackable PyTorch implementation of Dreamfusion
• you need text-to-3D or image-to-3D generation with mesh export
• you want to experiment with NeRF backbones like Instant-NGP for 3D generation
• you need a research baseline for score distillation sampling

When to avoid

• you need production-quality 3D generation matching the original paper
• you want the most up-to-date text-to-3D implementation (consider threestudio instead)
• you lack a CUDA-capable GPU
• you need a polished GUI application rather than a research codebase

Facets

library · maturity maintenance

machine-learning deep-learning stable-diffusion graphics simulation artificial-intelligence deep-learning computer-vision graphics machine-learning python cross-platform text-to-3d image-to-3d nerf dreamfusion 3d-generation mesh-export diffusion-models pytorch gpu linux

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markdown · JSON · MCP: product_card(name="ashawkey/stable-dreamfusion")