NVlabs/FastGen
NVIDIA FastGen: Fast Generation from Diffusion Models
This tool helps researchers and engineers create highly efficient AI models that generate images and videos from text or other images, much faster than traditional methods. It takes existing large generative models and distills them into smaller, quicker versions. This is perfect for AI practitioners who need to deploy fast, high-quality content generation models.
632 stars. Actively maintained with 1 commit in the last 30 days.
Use this if you need to rapidly train and deploy generative AI models that can quickly produce high-quality images or videos from text descriptions or other visual inputs.
Not ideal if you are looking for an out-of-the-box application for general content creation and do not have expertise in training large-scale AI models.
Stars
632
Forks
46
Language
Python
License
Apache-2.0
Category
Last pushed
Mar 13, 2026
Commits (30d)
1
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/diffusion/NVlabs/FastGen"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Related models
quantgirluk/aleatory
📦 Python library for Stochastic Processes Simulation and Visualisation
blei-lab/treeffuser
Treeffuser is an easy-to-use package for probabilistic prediction and probabilistic regression...
TuftsBCB/RegDiffusion
Diffusion model for gene regulatory network inference.
yuanchenyang/smalldiffusion
Simple and readable code for training and sampling from diffusion models
chairc/Integrated-Design-Diffusion-Model
IDDM (Industrial, landscape, animate, latent diffusion), support LDM, DDPM, DDIM, PLMS, webui...