FaithDiff
Unleash diffusion priors for faithful image super-resolution and restoration.
Leverage diffusion priors for high-resolution real estate photo enhancement.
FaithDiff is an open-source image super-resolution tool that uses diffusion priors to restore and enhance real-world imagery without hallucinations. It is built for real estate professionals needing to upscale property photos, architectural renders, or historic imagery.
What it is
It executes image enhancement, super-resolution, and restoration using diffusion models combined with LLaVA vision language models for caption generation. It supports ultra-high-resolution 8K output, FP8 inference, and CPU offloading to handle heavy pipelines efficiently.
Who it's for
It suits real estate developers, agencies, and technical media teams wanting to upscale legacy property photography or marketing renders. It does not suit non-technical users who require a standard point-and-click desktop app without dealing with Python scripts or command lines.
Key features
Diffusion Priors
Unleashes advanced diffusion models for faithful image super-resolution.
Ultra-High Resolution
Supports 8K and above image restoration on 24GB GPUs using tile VAE.
Memory Optimization
Includes FP8 inference and CPU offloading to run on lower-spec hardware.
Gradio Interface
Provides an interactive Gradio demo for running local restoration workflows.
Up and running in 3 steps
Our honest verdict
What's great
- Delivers high-fidelity upscaling without generating false details.
- Supports FP8 inference and CPU offloading to reduce VRAM requirements.
- Handles ultra-high-resolution 8K real estate photography and archives.
- Integrates into Hugging Face Diffusers for pipeline flexibility.
Where it falls short
- Requires substantial GPU hardware and technical proficiency to configure.
- Must download multiple dependent models including SDXL and LLaVA.
- Running heavy local inference demands dedicated compute resources.
Pricing & license
Free under its MIT licence. The only cost is running it yourself on your own local hardware or cloud GPU instances.
Open remote AI-training roles
880 open remote AI-training roles, updated November 15, 2026; most pay $20–$175 an hour. Zekai lists them free; the application goes to the employer’s platform.
Alternatives
Use it, or have us set it up
FAQ
What hardware do I need to run FaithDiff?
A modern GPU is required; you can use FP8 inference and CPU offloading to fit within lower VRAM budgets, or tile VAE for 8K images.
Can I use FaithDiff without LLaVA?
Yes, you can run the pipeline without LLaVA by utilizing pre-generated captions via command line arguments.
