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T2i Adapter Sdxl Lineart



The t2i-adapter-sdxl-lineart is a Text-to-Image model that modifies images using line art based on specific prompts given to it. The model takes an image URL, a prompt describing the changes to be made, and several other parameters that affect the nature and extent of alterations. After processing, it outputs two URL links, one contains the preprocessed image and the other is the final modified image. Negative prompts can be given to avoid certain features or styles in the image. The model doesn't support styles like anime, cartoon, graphic, painting, crayon, graphite, and so on. It is particularly optimized for line art transformations and details enhancement in 4k resolution.

Use cases

The t2i-adapter-sdxl-lineart AI model provides opportunities for individuals and businesses to transform images using line art techniques. For example, digital artists can use the model to create intricate line art versions of existing photos, potentially saving countless hours of manual sketching. The model may also be used in advertising and marketing, as businesses can create unique line-art renditions of their product images or company branding to stand out in a crowded market. Additionally, this technology could be utilized in the development of video game graphics, creating a novel aesthetic for players. A product could also be created that allows casual users to convert their own photos into pieces of line art. This could serve as a fun tool for personal creativity, or possibly as a unique gift-giving idea where users could convert a beloved photograph into a piece of art. Furthermore, such a tool could be useful in web design, allowing designers to create stylized, minimalist graphics as part of their design strategy.


Cost per run
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Creator Models

Inst Inpaint$?251
T2i Adapter Sdxl Openpose$?4,645
Lightweight Openpose$?1,442

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Summary of this model and related resources.

Model NameT2i Adapter Sdxl Lineart
Modify images using line art
Model LinkView on Replicate
API SpecView on Replicate
Github LinkView on Github
Paper LinkView on Arxiv


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