Qwen/WAN 2.7 Image
WAN 2.7 is Alibaba Cloud's flagship text-to-image model featuring thinking-mode reasoning, sequential set generation, and brand-aware palette control. It combines multi-stage diffusion with multimodal planning to produce marketing-ready visuals.
api_example.sh
Technical Specifications
Model Architecture & Performance
Pricing
Pay-per-use, no commitments
API Reference
Complete parameter documentation
| Parameter | Type | Default | Description |
|---|---|---|---|
| n | number | 1 | Number of images to generate (1–4 in standard mode). Sequential mode can output up to 12 coherent frames. |
| size | select | 1K | Resolution preset. 1K ≈ 1024×1024 and 2K ≈ 2048×2048. |
| enable_sequential | boolean | false | Produce a coherent multi-image sequence that preserves subjects and framing across shots. |
| response_format | select | url | Choose between CDN URLs (`url`) or base64-encoded payloads (`b64_json`). |
Explore the full request and response schema in our external API documentation
Performance
Strengths & considerations
| Strengths | Considerations |
|---|---|
| Sequential mode outputs up to a dozen coherent frames Thinking mode improves adherence to complex prompts Supports multi-image references and color palette locking Delivers 1K and 2K renders suitable for production assets | Requires Alibaba Cloud DashScope/Bailian access and regional availability Sequential mode caps outputs at 12 images even when higher values are requested |
Use cases
Recommended applications for this model
Enterprise
Platform Integration
Docker Support
Official Docker images for containerized deployments
Kubernetes Ready
Production-grade KBS manifests and Helm charts
SDK Libraries
Official SDKs for Python, Javascript, Go, and Java
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