stable-dreamfusion
Content generator
Generates 3D content from text using a combination of neural networks and image synthesis.
Text-to-3D & Image-to-3D & Mesh Exportation with NeRF + Diffusion.
8k stars
129 watching
736 forks
Language: Python
last commit: about 1 year ago
Linked from 3 awesome lists
dreamfusionguiimage-to-3dnerfstable-diffusiontext-to-3d
Related projects:
Repository | Description | Stars |
---|---|---|
| A text-to-image model trained on images and text prompts using a diffusion process | 68,750 |
| A software project that enables high-resolution image synthesis through a specific type of generative model using latent diffusion processes. | 39,501 |
| A Python-based add-on for Blender that integrates Stable Diffusion for generating textures and other assets with text prompts. | 7,873 |
| A PyTorch-based library for training and using state-of-the-art diffusion models to generate images, audio, and 3D structures | 26,676 |
| A multi-platform package manager and inference UI for Stable Diffusion, supporting various AI models and tools | 4,995 |
| Generates videos by manipulating the latent space of Stable Diffusion to create morphing sequences from text prompts. | 4,470 |
| An implementation of DALL-E 2's text-to-image synthesis neural network in PyTorch | 11,184 |
| A Python-based image generation tool utilizing advanced diffusion techniques to upscale or generate large images with limited VRAM resources. | 4,790 |
| An implementation of Stable Diffusion using the DreamBooth architecture and Paperspace's A1111 framework. | 7,583 |
| An image generation model that balances efficiency and quality, utilizing a cascade architecture to compress images before training a text-conditional model in a highly compressed latent space. | 6,560 |
| A software toolkit for training and rendering neural graphics primitives | 16,115 |
| A web interface for Stable Diffusion, providing an intuitive and interactive experience for generating images through various models and parameters. | 144,342 |
| A unified framework for 3D content generation | 6,410 |
| A software framework for training and utilizing various types of diffusion models. | 6,641 |
| An implementation of a neural network structure to control diffusion models by adding extra conditions. | 30,944 |