HassanJbara/svgfusion
Generating SVGs with Transformer-based Diffusion Models
This project helps generate new, distinct SVG icons. By providing it with an existing dataset of SVG icons and optional class IDs, it can produce fresh, high-quality vector graphics. This is most useful for graphic designers, illustrators, or content creators who need to quickly expand their icon libraries or create variations of existing designs.
No commits in the last 6 months.
Use this if you need to automatically generate a large number of unique SVG icons for your projects, based on styles learned from an existing collection.
Not ideal if you need precise control over every detail of the generated SVG or if you prefer to design icons manually from scratch.
Stars
8
Forks
1
Language
Python
License
MIT
Category
Last pushed
Nov 24, 2023
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/diffusion/HassanJbara/svgfusion"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
scraed/LanPaint
High quality training free inpaint for every stable diffusion model. Supports ComfyUI
julienkay/com.doji.diffusers
A Unity package to run pretrained diffusion models with Unity Sentis
apapiu/transformer_latent_diffusion
Text to Image Latent Diffusion using a Transformer core
Aatricks/LightDiffusion-Next
Fastest Diffusion backend, WebUI, server. Pushing implementation and discovery of optimizations...
FMXExpress/Stable-Diffusion-Desktop-Client
Stable Diffusion Desktop client for Windows, macOS, and Linux built in Embarcadero Delphi.