This repository provides the Sygil WebUI, a web interface for Stable Diffusion.
Open source
24 alternativesStable Dreamfusion
Stable Dreamfusion supports text to 3D and image to 3D generation, with mesh export using NeRF and diffusion.
About Stable Dreamfusion
Stable Dreamfusion is a PyTorch implementation of the text-to-3D DreamFusion model, using the Stable Diffusion text-to-2D model as guidance. It also supports image-to-3D generation through Zero-1-to-3 and Omnidata checkpoints, and mesh exportation with NeRF and diffusion backbones.
Key features
- Text-to-3D generation using a PyTorch DreamFusion implementation powered by Stable Diffusion
- Image-to-3D generation via Zero-1-to-3 and Omnidata depth/normal checkpoints
- Mesh exportation with NeRF and diffusion backbones
- Instant-NGP backbone with multi-resolution grid encoder for faster rendering
- Optional Taichi backend for Instant-NGP without a CUDA build
- Includes DMTet tetrahedron grids at 32/64/128 resolution
Best for: Researchers and developers with Python and PyTorch experience who want to experiment with text- and image-conditioned 3D generation and mesh export.
Good for
- Open-source repository installable with pip requirements and an optional virtual environment
- Supports both text-to-3D and image-to-3D pipelines plus mesh export
- Optional Taichi backend for Instant-NGP avoids a CUDA build
Watch out for
- Stated to be a work in progress whose generation quality cannot match the original paper, with many prompts failing badly
- Requires manually downloading pretrained checkpoints and setting up dependencies
- DeepFloyd-IF use requires accepting Hugging Face usage conditions and logging in via the command line
Stable Dreamfusion at a glance
- Category
- AI & Machine Learning › AI Image Generators
- Type
- Open-source project
- Pricing
- Not confirmed. Check the site
- Open source
- Yes · Source code
- Language
- English
- Last checked
- Oct 6, 2026 · Online when checked
- Listed
- Oct 5, 2026
Stable Dreamfusion alternatives
Tools and sites you could use instead, ranked by how closely they match.
joliGEN provides generative AI tools for image and video tasks using GANs and diffusion models.
Fast Stable Diffusion combines Stable Diffusion and DreamBooth in a project focused on image generation.
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24 alternatives
Drag Your GAN: Interactive Point-based Manipulation on the Generative Image Manifold.
A Python library to remove unwanted pseudo-text from images generated by your favorite generative AI models (Stable Diffusion, Midjourney, DALL·E).
Open source
24 alternatives
A custom AUTOMATIC1111 script adds a small template language for generating random Stable Diffusion prompts.
Open source
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Stable Dreamfusion FAQ
Does Stable Dreamfusion require a CUDA build?
An optional Taichi backend for Instant-NGP is provided that does not require a CUDA build and is described as achieving comparable performance to the CUDA implementation.
What must be downloaded before image-to-3D generation?
The Zero-1-to-3 checkpoint, zero123-xl.ckpt by default, plus the Omnidata depth and normal checkpoints used by preprocess_image.py.
Can it export 3D meshes?
Yes. The project describes mesh exportation with NeRF and diffusion and ports pre-generated DMTet tetrahedron grids at 32/64/128 resolution.
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