ermongroup/SDEdit
PyTorch implementation for SDEdit: Image Synthesis and Editing with Stochastic Differential Equations
This tool helps artists, designers, and creatives transform simple sketches or partially edited images into high-quality, realistic artwork. You provide an initial image, like a rough painting or an image with user-added strokes, and it generates a polished, natural-looking image while preserving your original artistic intent. This is ideal for visual artists and designers.
1,154 stars. No commits in the last 6 months.
Use this if you want to quickly generate realistic images from basic strokes or modify existing images with specific edits, ensuring the output maintains artistic quality and fidelity to your input.
Not ideal if you need to generate images from scratch without any initial visual input or if you require precise, pixel-level control that doesn't involve broader artistic strokes.
Stars
1,154
Forks
92
Language
Python
License
MIT
Category
Last pushed
Feb 12, 2023
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/diffusion/ermongroup/SDEdit"
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