masa-ue/SVDD-image
Derivative-Free, Training-Free, Guidance in Diffusion Models
This tool helps researchers and designers generate images that are optimized for specific qualities, such as compressibility or aesthetic appeal, without needing extensive training or fine-tuning of the underlying models. You provide a prompt and specify the desired quality, and the system produces new images that best meet that criterion. It's ideal for anyone working with image generation who needs to quickly create high-quality, targeted visual content.
No commits in the last 6 months.
Use this if you need to generate images optimized for specific qualities like compressibility or aesthetic score using diffusion models, without the time and computational cost of model training or fine-tuning.
Not ideal if you are looking to generate biological sequences or if your primary goal is general-purpose image generation without specific optimization objectives.
Stars
16
Forks
2
Language
Python
License
—
Category
Last pushed
Sep 30, 2024
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/diffusion/masa-ue/SVDD-image"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
xie-lab-ml/Golden-Noise-for-Diffusion-Models
[ICCV2025] The code of our work "Golden Noise for Diffusion Models: A Learning Framework".
yulewang97/ERDiff
[NeurIPS 2023 Spotlight] Official Repo for "Extraction and Recovery of Dpatio-temporal Structure...
UNIC-Lab/RadioDiff
This is the code for the paper "RadioDiff: An Effective Generative Diffusion Model for...
pantheon5100/pid_diffusion
This repository is the official implementation of the paper: Physics Informed Distillation for...
zju-pi/diff-sampler
An open-source toolbox for fast sampling of diffusion models. Official implementations of our...