Generates images from text prompts with Wan 2.7 image, supporting fast iteration and strong prompt fidelity for illustration and photorealistic outputs.
INPUT
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OUTPUT
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Configure your settings and click Run to get started
Your request will cost 0.03 per run. For $10 you can run this model approximately 333 times.
Here's what you can do next:
Input Schema
The following parameters are accepted in the request body.
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Example Request Body
json
{
"model": "alibaba/wan-2.7/text-to-image"
}Please log in to view request history
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Log InAlibaba WAN 2.7 Text-to-Image
Alibaba WAN 2.7 Text-to-Image is a fast and flexible image-generation model for turning prompts into polished visuals. It is well suited to everyday creative work, from concept exploration to campaign-ready artwork.
What makes it stand out?
- Faster generation path: Optimized for day-to-day creative iteration and lower-latency image generation.
- Flexible output sizing: Supports
1K,2K, and custom pixel sizes such as2048*2048. - Creative controls: Supports flexible output sizing, style exploration, grouped generation, and repeatable results with seed control.
- Prompt-first workflow: Best suited for pure text-to-image generation without requiring reference images.
Designed For
- Design teams iterating on moodboards, product concepts, and campaign mockups.
- Content creators producing social visuals, covers, and brand graphics quickly.
- Product, brand, and content teams that need strong visual quality with faster turnaround.
- Anyone who wants Wan 2.7 image quality in a lighter-weight generation tier.
How to Use
- Write a clear prompt describing subject, style, lighting, and composition.
- Choose the output size that fits your use case.
2Kis a strong default for most work. - Generate one image for precision, or several variations when you want more creative range.
- Use thinking mode when prompt interpretation and composition quality matter more than speed.
- Review the outputs and keep the version that best matches your intent.
