johnamit/sit-faf-generate-edit
A deep learning project for Fundus Autofluorescence (FAF) image generation, inversion and editing using Scalable Interpolant Transformers (SiT). This repository enables conditional generation of synthetic FAF images based on genetic mutations, patient age, and eye laterality, with support for real-to-latent inversion and semantic image editing.
Stars
1
Forks
—
Language
Python
License
—
Category
Last pushed
Feb 05, 2026
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/diffusion/johnamit/sit-faf-generate-edit"
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
FoundationVision/VAR
[NeurIPS 2024 Best Paper Award][GPT beats diffusion🔥] [scaling laws in visual generation📈]...
nerdyrodent/VQGAN-CLIP
Just playing with getting VQGAN+CLIP running locally, rather than having to use colab.
huggingface/finetrainers
Scalable and memory-optimized training of diffusion models
AssemblyAI-Community/MinImagen
MinImagen: A minimal implementation of the Imagen text-to-image model