W2GenAI-Lab/LucidFlux

Health v2 · maintenance only

Flags: no_releases no_license

Adoption not part of the score

1293 stars · 111 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

LucidFlux is a caption-free photo-realistic image restoration model built on a large-scale diffusion transformer, released with inference and training code in Python. It supports restoring degraded photos without needing input captions and has been extended to 4K image restoration.

Use cases

• restore old degraded photos to photo-realistic quality
• super-resolve low-quality images without writing captions
• run 4K image restoration with a diffusion transformer
• train a custom image restoration model
• integrate image restoration into an API via fal.ai

When to choose

• you need high-fidelity blind image restoration without caption prompts
• you want a research-grade diffusion-based restoration model with training code
• you need 4K-capable photo restoration on GPU hardware

When to avoid

• you need lightweight restoration on CPU or edge devices
• you need a simple classical denoising filter rather than generative restoration
• you require a permissive license for commercial use without review

Facets

library · maturity active

image-processing machine-learning deep-learning stable-diffusion image-processing artificial-intelligence deep-learning python image-restoration diffusion-transformer super-resolution photo-restoration caption-free iclr-2026 gpu linux

Member repositories

For agents

markdown · JSON · MCP: product_card(name="W2GenAI-Lab/LucidFlux")