~/WAN 2.5
Text to Image

WAN 2.5

Photorealism and creative control for image generation.

Schema
Example
Example output

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

Your request will cost $0.045 per run. For $10 you can run this model approximately 222 times.

One more thing:

README

Alibaba / WAN 2.5Text to Image (wan-2.5-image)

WAN 2.5 provides excellent photorealism and creative control.

Highlights

  • Photorealistic High-quality realistic images.
  • Creative control Fine-tune your output.
  • Multiple outputs Generate up to 4 images.

Parameters

  • prompt*Text description of the image to generate
  • negative_promptThings to avoid in the image
  • aspect_ratioOutput aspect ratio
    • 1:1 (Square)
    • 16:9 (Landscape)
    • 9:16 (Portrait)
    • 4:3 (Classic)
    • 3:4 (Portrait)
    • 3:2 (Standard)
    • 2:3 (Portrait)
    • 21:9 (Ultrawide)
  • num_outputsNumber of images to generate

Pricing

$0.045 per generation

How to Use

  1. 1.Write your prompt.
  2. 2.Choose aspect ratio.
  3. 3.Set number of outputs.
  4. 4.Generate and download.

More Models to Try

Photography: Realistic image generation.
Content creation: Versatile visual content.
Design: Creative visual work.

Frequently Asked Questions

What is the WAN 2.5 API?
Photorealism and creative control for image generation.
How much does WAN 2.5 cost via API?
WAN 2.5 costs $0.0450 per generation through Renderful's API. No subscription required — pay only for what you use.
How do I use WAN 2.5 via API?
Sign up for a free Renderful API key, then send a POST request to the /v1/predictions endpoint with model "wan-2.5-image". See the documentation at renderful.ai/docs for code examples in Python, JavaScript, and cURL.
What type of content does WAN 2.5 generate?
WAN 2.5 is a text to image model by Alibaba. Key features include: Photorealistic, Creative control, Multiple outputs.
Is the WAN 2.5 API fast?
WAN 2.5 has fast generation speed. Results are delivered via polling or webhook callback for seamless integration.