Alibaba Wan 2.7 Text To Image Pro

Alibaba Wan 2.7 Text To Image Pro

Playground

WAN 2.7 Text-to-Image Pro generates high-quality images up to 4K 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 Pro

Wan 2.7 Text-to-Image Pro is the professional tier of text-to-image generation model, supporting output resolutions up to 4K (4096×4096). With built-in thinking mode for enhanced reasoning and custom size control, it delivers higher-fidelity compositions ideal for print-ready assets, large-format displays, and any workflow where resolution and quality are the priority.

• Looking for a lower-cost option? Try Wan 2.7 Text-to-Image

Why Choose This?

• Up to 4K resolution output Generate images up to 4096×4096 pixels — ideal for print, large-format displays, and high-DPI screens where standard resolution falls short.

• 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 (512–8192 per dimension) to match banners, thumbnails, posters, or social formats exactly.

• 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. Examples: 2048×2048 for square, 4096×2048 for ultra-wide, 2048×4096 for tall posters.
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 $0.075 per generated image.

Best Use Cases

• Print & Large Format — Generate 4K-resolution assets for magazines, posters, and physical print campaigns.
• Fashion & Lookbook — Produce high-detail model and product images at magazine-cover quality.
• Marketing & Advertising — Create polished campaign visuals at production-ready resolutions.
• Product Visualization — Generate fine-textured, high-fidelity product imagery for e-commerce and presentations.
• Concept Art — Render detailed scene compositions with complex lighting, materials, and environments.

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.”
• For 4K outputs, include fine detail cues (textures, materials, lighting) to take full advantage of the higher resolution.
• 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.

Notes

• Only prompt is required; all other parameters are optional.
• Output size range is 512–8192 pixels per dimension, with total pixels between 768×768 and 4096×4096 and aspect ratio between 1:8 and 8:1.
• Thinking mode is enabled by default and improves quality but adds some latency.
• Higher resolutions (e.g. 4096×4096) will take longer to generate than standard sizes.

Related Models

• Wan 2.7 Text-to-Image — Standard version at lower cost for everyday generation needs.
• 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-pro" \
--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}"