zhang-zx/SINE
This respository contains the code for the CVPR 2023 paper SINE: SINgle Image Editing with Text-to-Image Diffusion Models.
This tool helps graphic designers, digital artists, and marketers efficiently modify existing images using text prompts. You provide an image and descriptive text, and it intelligently edits the picture's content, style, or specific elements to match your vision, creating new, customized images without manual pixel-level manipulation.
190 stars. No commits in the last 6 months.
Use this if you need to quickly and precisely edit specific aspects of an image, like changing an object, its appearance, or the overall scene, by simply describing the desired outcome in words.
Not ideal if you require extremely subtle, highly specific, or artistic edits that need fine-grained control over individual pixels or traditional image manipulation tools.
Stars
190
Forks
11
Language
Python
License
MIT
Category
Last pushed
Jan 11, 2024
Commits (30d)
0
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