metadata
license: mit
tags:
- text-to-image
- svg
- vector-graphics
pipeline_tag: text-to-image
widget:
- text: a beautiful mountain landscape
example_title: Mountain Landscape
- text: a cute cat sitting on a windowsill
example_title: Cat on Windowsill
- text: a futuristic city skyline at sunset
example_title: Futuristic City
Vector Graphics Model
This model generates vector graphics (SVG) from text prompts.
Usage
import requests
API_URL = "https://api-inference.huggingface.co/models/jree423/diffsketcher"
headers = {"Authorization": "Bearer YOUR_API_TOKEN"}
def query(payload):
response = requests.post(API_URL, headers=headers, json=payload)
return response.json()
# Text-to-image input
output = query({
"inputs": "a beautiful mountain landscape",
})
# The response contains:
# - svg: The SVG content as a string
# - svg_base64: The SVG content encoded as base64
# - png_base64: A PNG version of the SVG encoded as base64
Model Details
This model generates vector graphics (SVG) from text prompts. It produces clean, scalable vector graphics that can be used in various applications.
Limitations
This is a placeholder implementation that returns simple SVG graphics. The full model implementation will be added in the future.