zichongc/StyleBlend
[Eurographics '25] Official Implementation of StyleBlend: Enhancing Style-Specific Content Creation in Text-to-Image Diffusion Models
This tool helps artists, designers, and marketers generate new images in a very specific artistic style from text descriptions. You provide a collection of images exemplifying your desired style, and then use text prompts to create new, unique images that consistently adhere to that learned style. This is ideal for creative professionals needing to maintain a strong brand or artistic identity across multiple visual assets.
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Use this if you need to generate many images that all consistently follow a specific visual style, like a brand's aesthetic or a particular art movement, using only text prompts.
Not ideal if you're looking for a simple, out-of-the-box text-to-image generator without a specific style you need to repeatedly enforce.
Stars
9
Forks
2
Language
Python
License
MIT
Category
Last pushed
Jul 23, 2025
Commits (30d)
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