Alibaba Wan 2.7 Text To Image

Alibaba Wan 2.7 Text To Image

Playground

WAN 2.7 Text-to-Image generates high-quality images from text prompts with thinking mode for enhanced image quality. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.

Features

Wan 2.7 Text-to-Image

Wan 2.7 Text-to-Image is advanced text-to-image generation model, producing high-quality, detailed images from natural language descriptions. With custom size control, built-in thinking mode, and support for a wide range of aspect ratios, it covers everything from social media content to high-resolution creative assets.

• Need higher resolution (up to 4K)? Try Wan 2.7 Text-to-Image Pro

Why Choose This?

• High-quality image generation Produces richly detailed, visually coherent images with accurate composition, lighting, and texture from text descriptions.

• Thinking mode for smarter generation Built-in thinking mode enables the model to reason about prompt intent before generating, producing more coherent compositions and better prompt adherence.

• Custom size output Set output width and height directly (512–4096 per dimension) to match any format — banners, thumbnails, portraits, or widescreen compositions.

• Broad aspect ratio support Presets include 1:1, 16:9, 9:16, 4:3, 3:4, 3:2, and 2:3 for any platform or delivery format.

• Seeded iteration Use a fixed seed to refine style and layout with more repeatable variations.

• Prompt Enhancer Built-in tool to automatically improve your text descriptions for richer results.

Parameters

How to Use

1. Write your prompt — describe the subject, setting, and style. Use the Prompt Enhancer for better results.
2. Choose a size — select a preset aspect ratio or set custom width and height to match your target format.
3. Set thinking_mode — leave enabled (default) for best quality, or disable for faster generation.
4. Set seed (optional) — fix a seed to make iterative prompt refinements more comparable.
5. Submit — review the result and iterate as needed.

Pricing

Just $0.03 per generated image.

Best Use Cases

• Social Media Content — Create platform-optimized visuals across multiple aspect ratios in one workflow.
• Marketing & Advertising — Produce on-brand campaign visuals quickly without a photoshoot.
• Concept Art & Storyboarding — Rapidly visualize scenes, characters, and environments from text descriptions.
• E-commerce — Generate product lifestyle imagery and scene compositions for storefronts.
• Creative Exploration — Rapidly prototype visual ideas and styles from detailed prompts.

Pro Tips

• Structure your prompt as subject + environment + style: “A modern tea shop interior, warm afternoon light, minimalist wood design, cinematic photography.”
• Add camera and composition cues when framing matters: “wide shot, shallow depth of field, 35mm film look.”
• Keep thinking_mode enabled for best results — disable it only if generation speed is the priority.
• Fix a seed while tweaking your prompt to isolate the effect of each change.
• Generate multiple variations at smaller sizes to explore compositions before committing to a final render.

Notes

• Only prompt is required; all other parameters are optional.
• Output size range is 512–4096 pixels per dimension, with total pixels between 768×768 and 2048×2048 and aspect ratio between 1:8 and 8:1.
• Thinking mode is enabled by default and improves quality but adds some latency.

Related Models

• Wan 2.7 Text-to-Image Pro — Pro version with up to 4K resolution and enhanced quality for production workflows.
• Wan 2.6 Text-to-Image — Previous generation Wan text-to-image model with prompt expansion support.
• Seedream V4 Text-to-Image — Style-consistent text-to-image for posters, campaigns, and brand-friendly illustration batches.
• FLUX.2 Dev Text-to-Image — High-quality text-to-image with strong prompt adherence and fine detail for creative and production workflows.

# Submit the task
curl --location --request POST "https://api.wavespeed.ai/api/v3/alibaba/wan-2.7/text-to-image" \
--header "Content-Type: application/json" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}" \
--data-raw '{
    "size": "1024*1024",
    "thinking_mode": true,
    "seed": -1
}'

# Get the result
curl --location --request GET "https://api.wavespeed.ai/api/v3/predictions/${requestId}/result" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}"