Image to Image

Qwen Image

Image transformation with text rendering capability.

Schema

Hint: You can drag and drop a file or click to upload

Example
Example output

Sample output shown above. The prompt and settings are pre-filled on the left.

Your request will cost $0.02 per run. For $10 you can run this model approximately 500 times.

One more thing:

README

Alibaba / Qwen Image β€” Image to Image (qwen-image-i2i)

Qwen Image transforms images with excellent text rendering capabilities.

Highlights

  • β€’Text rendering – Add or modify text in images.
  • β€’Complex transformations – Handles detailed changes.
  • β€’Accurate – Precise prompt interpretation.

Parameters

  • β€’image* – Source image to transform
  • β€’prompt* – Description of the transformation
  • β€’negative_prompt – Things to avoid
  • β€’aspect_ratio – Output aspect ratio
    • β€’ 1:1 (Square)
    • β€’ 16:9 (Landscape)
    • β€’ 9:16 (Portrait)
    • β€’ 4:3 (Classic)
    • β€’ 3:4 (Portrait)

Pricing

$0.05 per generation

How to Use

  1. 1.Upload your source image.
  2. 2.Write transformation prompt.
  3. 3.Generate and download.

More Models to Try

β€’Design work: Add text overlays.
β€’Marketing: Create promotional images.
β€’Content editing: Modify existing images.

Frequently Asked Questions

What is the Qwen Image API?
Image transformation with text rendering capability.
How much does Qwen Image cost via API?
Qwen Image costs $0.0500 per generation through Renderful's API. No subscription required β€” pay only for what you use.
How do I use Qwen Image via API?
Sign up for a free Renderful API key, then send a POST request to the /v1/predictions endpoint with model "qwen-image-i2i". See the documentation at renderful.ai/docs for code examples in Python, JavaScript, and cURL.
What type of content does Qwen Image generate?
Qwen Image is a image to image model by Alibaba. Key features include: Image input, Text rendering, Complex prompts.
Is the Qwen Image API fast?
Qwen Image has medium generation speed. Results are delivered via polling or webhook callback for seamless integration.