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  2. /Model
  3. /Qwen
  4. /qwen-image-lora
Qwen
qwen-image-lora
Documentation
Documentation
The qwen image lora api provides a specialized vision-language model based on Qwen2-VL. It excels at arbitrary resolution scaling, bilingual OCR, and visual grounding, making it a powerful choice for high-precision document extraction tasks.

$ 0.0244
$ 0.0375

image

image

$ 0.0244
$ 0.0375

image

image

Playground
JSON
API

Input

Width
Height

Preview image
Your request will cost$0per run, for$100you can run this model approximately0times
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qwen image lora api Features

Core technical advantages that make the qwen image lora api a leader in multimodal AI.

Precision OCR and Parsing

Optimized for structured data extraction from invoices, forms, and handwritten notes with >90% DocVQA scores.

Before · Precision OCR and Parsing
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Precision OCR and Parsing
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Precision OCR and Parsing

Optimized for structured data extraction from invoices, forms, and handwritten notes with >90% DocVQA scores.

Precision OCR and Parsing

Visual Grounding Logic

The qwen model outputs bounding box coordinates [xmin, ymin, xmax, ymax] for precise object detection tasks.

Before · Visual Grounding Logic
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Visual Grounding Logic
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Visual Grounding Logic

The qwen model outputs bounding box coordinates [xmin, ymin, xmax, ymax] for precise object detection tasks.

Visual Grounding Logic

Bilingual English-Chinese Nuance

Superior understanding of mixed-language text within images, perfect for global signage and technical manuals.

Before · Bilingual English-Chinese Nuance
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Bilingual English-Chinese Nuance
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Bilingual English-Chinese Nuance

Superior understanding of mixed-language text within images, perfect for global signage and technical manuals.

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Before · Bilingual English-Chinese Nuance
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Bilingual English-Chinese Nuance
After

Arbitrary Resolution Scaling

Unlike models that crop images, qwen maintains the original aspect ratio for higher accuracy in reading fine print.

Before · Arbitrary Resolution Scaling
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Arbitrary Resolution Scaling
After

Arbitrary Resolution Scaling

Unlike models that crop images, qwen maintains the original aspect ratio for higher accuracy in reading fine print.

arrow
Before · Arbitrary Resolution Scaling
Before
Arbitrary Resolution Scaling
After

How to Get a qwen-image-lora API Key

Getting a qwen-image-lora API key takes four steps and a few minutes. Create a free GPTProto account, add credits, generate your key, and make your first call — at $0.0244 it's a cheaper qwen-image-lora API key than going direct, and one key works across every model on the platform. Full qwen-image-lora Documentation is in the docs.

Sign up

Sign up

Create your free GPT Proto account to begin. You can set up an organization for your team at any time.

Top up

Top up

Your balance can be used across all models on the platform, including qwen-image-lora, giving you the flexibility to experiment and scale as needed.

Generate your API key

Generate your API key

In your dashboard, create an API key — you'll need it to authenticate when making requests to qwen-image-lora.

Make your first API call

Make your first API call

Use your API key with our sample code to send a request to qwen-image-lora via GPT Proto and see instant AI-powered results.

Get API Key

qwen image lora api FAQ

Common questions about integrating and using the qwen image lora api for your vision-language projects.

How is this different from the official Alibaba API?

Our qwen image lora api provides an OpenAI-compatible interface, making it easier to integrate into existing codebases. We also offer unified billing across multiple models and higher multi-region availability for your qwen workloads, ensuring you have a consistent experience without managing multiple vendor accounts.

Is my data used for qwen model training?

No. Privacy is a priority for the qwen image lora api. All data processed through our API endpoints is strictly excluded from training sets by default. You can use the qwen model for sensitive document parsing and image analysis with the confidence that your proprietary information remains private and secure.

What is the typical qwen image lora api latency?

For a standard 1080p image, the qwen image lora api typically delivers a Time-To-First-Token (TTFT) of approximately 1.2 seconds. Full completion for complex OCR or grounding tasks usually finishes within 2.0 seconds. High-resolution 4k images may see slightly higher latency due to the increased visual data qwen must process.

How do I migrate from GPT-4o-vision to qwen?

Migration to the qwen image lora api is seamless. Because our qwen endpoint uses the standard OpenAI message format, you only need to update your base URL and change the model string to 'qwen-image-lora'. Your existing prompts for image URLs and text instructions will work with qwen without structural changes.

Is specialized fine-tuning supported for qwen?

Yes, we offer managed fine-tuning services for the qwen image lora api. If you have a unique visual dataset, such as specialized medical reports or niche industrial parts, we can help you create custom LoRA adapters. This allows the qwen model to reach even higher levels of accuracy for your specific vertical use case.

Are enterprise billing options available for qwen?

Absolutely. For high-volume users of the qwen image lora api, we support monthly invoicing and significant volume discounts for annual commitments. Our enterprise tier for qwen also includes higher rate limits (500+ RPM) and dedicated support to ensure your production environment runs smoothly at all times.

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