pky1987/Verilume-True-Light-Image-Generator

Verilume is a high-fidelity image generation and editing framework built upon the Qwen-Image series. It integrates state-of-the-art prompt engineering with large-scale vision-language models to provide precise, semantic, and visually stunning results.

11
/ 100
Experimental
No License No Package No Dependents
Maintenance 10 / 25
Adoption 0 / 25
Maturity 1 / 25
Community 0 / 25

How are scores calculated?

Stars

—

Forks

—

Language

Python

License

—

Category

text-to-image-generation

Last pushed

Mar 13, 2026

Commits (30d)

0

GitHub
Text-to-Image Generation · 62 models

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/diffusion/pky1987/Verilume-True-Light-Image-Generator"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.

Higher-rated alternatives

NVlabs/Sana

SANA: Efficient High-Resolution Image Synthesis with Linear Diffusion Transformer

57

FoundationVision/VAR

[NeurIPS 2024 Best Paper Award][GPT beats diffusion🔥] [scaling laws in visual generation📈]...

50

nerdyrodent/VQGAN-CLIP

Just playing with getting VQGAN+CLIP running locally, rather than having to use colab.

49

huggingface/finetrainers

Scalable and memory-optimized training of diffusion models

48

AssemblyAI-Community/MinImagen

MinImagen: A minimal implementation of the Imagen text-to-image model

47

Explore Diffusion Models

All categories Trending Diffusion directory Insights