iamNCJ/DiLightNet
Official Code Release for [SIGGRAPH 2024] DiLightNet: Fine-grained Lighting Control for Diffusion-based Image Generation
This tool helps artists, designers, and marketers precisely control the lighting in AI-generated images. You provide an initial image, a mask to define the subject, and specific 'radiance hints' (like diffuse or specular light maps), and it produces a new image where the subject is relit exactly as you specified. It's perfect for anyone creating visuals who needs fine-tuned control over how light interacts with objects in generated scenes.
207 stars. No commits in the last 6 months.
Use this if you need to generate images from text prompts but require specific, fine-grained control over the lighting and shadows on your subject, rather than relying on general text descriptions.
Not ideal if you're looking for a simple text-to-image generator without needing precise lighting adjustments or if you prefer a fully automated lighting solution.
Stars
207
Forks
13
Language
Python
License
MIT
Category
Last pushed
Sep 08, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/diffusion/iamNCJ/DiLightNet"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
jayin92/Skyfall-GS
Skyfall-GS: Synthesizing Immersive 3D Urban Scenes from Satellite Imagery
Tencent-Hunyuan/Hunyuan3D-2
High-Resolution 3D Assets Generation with Large Scale Hunyuan3D Diffusion Models.
ActiveVisionLab/gaussctrl
[ECCV 2024] GaussCtrl: Multi-View Consistent Text-Driven 3D Gaussian Splatting Editing
caiyuanhao1998/Open-DiffusionGS
Baking Gaussian Splatting into Diffusion Denoiser for Fast and Scalable Single-stage Image-to-3D...
deepseek-ai/DreamCraft3D
[ICLR 2024] Official implementation of DreamCraft3D: Hierarchical 3D Generation with...