Alibaba Wan 2.7 Text To Image

Alibaba Wan 2.7 Text To Image

Playground

Alibaba 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 cold starts, affordable pricing.

Features

Alibaba Wan 2.7 Text-to-Image

Alibaba Wan 2.7 Text-to-Image (alibaba/wan-2.7/text-to-image) is Alibaba’s latest text-to-image generation model with built-in thinking mode for enhanced reasoning and higher-quality outputs. It’s designed for creative and production workflows—concept art, product visuals, portraits, and stylized imagery—where you want strong prompt adherence, flexible sizing, and smarter composition powered by chain-of-thought reasoning.

Why it stands out

• 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.

• Fast, one-shot text-to-image generation Generate an image in a single run for quick ideation and production workflows.

• Custom size output Set output size directly (768–2048 per dimension) to match banners, thumbnails, posters, or social formats.

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

Parameters

How to use

1. Write a clear prompt (subject + setting + style).
2. Choose a size that matches your target aspect ratio (e.g. 10241024, 10241536, 1536*1024).
3. Leave thinking_mode enabled (default) for best quality, or disable it for faster generation.
4. Set a seed if you want repeatable iterations (keep the same seed while you tweak the prompt).
5. Click Run, review the result, and iterate.

Prompt tips

• Start with subject + environment + style: “A modern tea shop interior, warm afternoon light, minimalist wood design, cinematic photography.”
• Add camera / composition when framing matters: “wide shot, shallow depth of field, 35mm film look.”
• Keep instructions positive and specific (what you want to see, not what you fear).
• With thinking mode enabled, the model handles short or ambiguous prompts better—but detailed prompts still yield the best results.

Pricing

• $0.03 per generated image

Notes

• Output size is limited to 768–2048 pixels per dimension. If a size fails, reduce resolution or choose a more standard aspect ratio.
• Thinking mode is enabled by default and improves quality, but adds some latency. Disable it if speed is the priority.
• Returned image URLs may be time-limited—save outputs if you need long-term storage.

Related Models

• Wan 2.7 Text-to-Image Pro — Pro version with 4K support.
• Alibaba Wan 2.6 Text-to-Image — Previous generation Wan text-to-image model with prompt expansion support.
• ByteDance Seedream V4 Text-to-Image — A style-consistent text-to-image generator for posters, campaigns, and high-volume brand-friendly illustration batches.
• FLUX.2 Dev Text-to-Image — A high-quality text-to-image model 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}"