BLIP Image Captioning Large

huggingface
Multimodal

Salesforce BLIP large checkpoint for image captioning, served through Hugging Face Inference. Given a photo it returns a short English caption. The large variant gives more accurate captions than the base model and is a common drop-in for alt-text and image indexing.

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TL;DR·Last updated June 24, 2026

BLIP Image Captioning Large is multimodal AI model from huggingface, priced at €0.000 per 1M input tokens with a unknown context window.

About this model

This is the captioning-tuned large BLIP checkpoint hosted on Hugging Face. It runs the image-to-text pipeline and returns a single concise caption per image. Useful when you want a lightweight, hosted captioner without managing a GPU, for example to generate alt-text, seed search indexes or bootstrap training labels.
Try BLIP Image Captioning Large

0.7

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Pricing

Price per Generation
Per generation€1.00

API Integration

Use our OpenAI-compatible API to integrate BLIP Image Captioning Large into your application.

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

const rw = railwail("YOUR_API_KEY");

// Simple — just pass a string
const reply = await rw.run("blip-image-captioning-large", "Hello! What can you do?");
console.log(reply);

// With message history
const reply2 = await rw.run("blip-image-captioning-large", [
  { role: "system", content: "You are a helpful assistant." },
  { role: "user", content: "Explain quantum computing simply." },
]);
console.log(reply2);

// Full response with usage info
const res = await rw.chat("blip-image-captioning-large", [
  { role: "user", content: "Hello!" },
], { temperature: 0.7, max_tokens: 500 });
console.log(res.choices[0].message.content);
console.log(res.usage);
Specifications
Price
€1.00
Developer
huggingface
Category
Multimodal
Supported Formats
image
Tags
huggingface
blip
captioning
salesforce
vision-understanding
image

Frequently asked questions

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