Skin Type Image Detection (ViT)

huggingface
Image Generation

ViT image classifier by dima806 that labels a facial or skin photo as dry, normal or oily skin type. Aimed at skincare and cosmetics research rather than disease detection, and not a medical diagnostic. Research and educational use only.

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TL;DRΒ·Last updated June 24, 2026

Skin Type Image Detection (ViT) is image generation AI model from huggingface, priced at €0.000 per 1M input tokens with a unknown context window.

About this model

ViTForImageClassification model from dima806, one of the most prolific publishers of small image-classification models on the Hugging Face Hub. It assigns one of three skin-type labels (dry, normal, oily) to an input image, which is useful for skincare product research, cosmetic personalization experiments and dataset prototyping. It does not detect lesions or disease and should not be used for any clinical or diagnostic purpose.
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Pricing

Price per Generation
Per generation€1.00

API Integration

Use our OpenAI-compatible API to integrate Skin Type Image Detection (ViT) into your application.

Install
npm install railwail
JavaScript / TypeScript
import railwail from "railwail";

const rw = railwail("YOUR_API_KEY");

const images = await rw.run("dima806-skin-types-image-detection", "A beautiful sunset over Tokyo");
console.log(images[0].url);

// Or use the image() method for full control
const res = await rw.image("dima806-skin-types-image-detection", "A cat in space", {
  size: "1024x1024",
  n: 1,
});
console.log(res.data[0].url);
Specifications
Price
€1.00
Developer
huggingface
Category
Image Generation
Supported Formats
image
Tags
medical
research
not-diagnostic
dermatology
skin-type
vit
image-classification

Frequently asked questions

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