Wan 2.7
Wan 2.7 is a Alibaba image model in Nodaro for text to image, from 22 credits per run.
Wan 2.7 text-to-image — 1K/2K/4K, up to 9 optional style/character reference images.
Credits
| Tier | Credits |
|---|---|
| 1K base | 22 |
| 2K | 44 |
| 4K | 88 |
Use Wan 2.7 in Nodaro
Add one of these nodes to your canvas, open its settings, and choose Wan 2.7 as the model:
Run Wan 2.7 from code
Each call starts a job and returns its jobId. Poll GET /v1/jobs/:id/status, or let the SDK wait for the result. A run costs the credits on this page. API reference
With Nodaro connected to Claude, ChatGPT or Cursor, ask in plain words, or have the assistant call the tool: “Use Wan 2.7 to make: A red fox in a snowy forest at golden hour, 35mm photo”
curl -s -X POST https://app.nodaro.ai/v1/generate-image \ -H "Authorization: Bearer $NODARO_API_KEY" \ -H "Content-Type: application/json" \ -d '{ "prompt": "A red fox in a snowy forest at golden hour, 35mm photo", "provider": "wan-2.7" }'import { createClient, StaticTokenAuth } from "@nodaro/sdk"const client = createClient({ baseUrl: "https://app.nodaro.ai", auth: new StaticTokenAuth(process.env.NODARO_API_KEY!),})const output = await client.nodes.runAndWait("generate-image", { prompt: "A red fox in a snowy forest at golden hour, 35mm photo", provider: "wan-2.7",}){ "tool": "generate_image", "arguments": { "prompt": "A red fox in a snowy forest at golden hour, 35mm photo", "model": "wan-2.7" }}Prompt tips
- Alibaba's official formula: Entity + Scene + Motion (basic) → add Aesthetic control + Stylization (advanced). Image-to-video: Motion + Camera only — the image already defines entity and scene.
- Sound (2.5+): append a sound description block — voice / sound effects / background music. Avoid scripting EXACT lip-synced lines (official anti-pattern); describe the voice and intent instead.
- Multi-shot (2.6/2.7): Overall description + shot number + timestamp + per-shot content. For ONE continuous take write 'Generate single shot' (the shot_type parameter is gone in 2.7).
- References go by 'Image 1' / 'Video 1' (capitalized, with a space). Anti-patterns: naming real people, demanding exact legible text, rapid scene changes in one clip, very long choreography.
- Style words are strong levers: cyberpunk, claymation, pixel style, felt style, tilt-shift, time-lapse. wan-videoedit: describe the transform, keep motion + identity.
Similar models
| Model | Maker | Resolutions | Credits |
|---|---|---|---|
| Wan 2.7 | Alibaba | 1K, 2K, 4K | from 22 |
| Qwen | Alibaba | — | 11 |
| Qwen Edit | Alibaba | — | 15 |
| Wan 2.7 Pro | Alibaba | 1K, 2K, 4K | from 66 |
| GPT Image 2 | OpenAI | 1K, 2K, 4K | from 21 |
| Z-Image | Tongyi-MAI | — | 3 |
| Nano Banana Pro | 1K, 2K, 4K | from 50 | |
| Nano Banana 2 | 1K, 2K, 4K | from 22 | |
| Nano Banana 2.1 | 1K, 2K, 4K | from 11 |
Frequently asked questions
How many credits does Wan 2.7 cost in Nodaro?
Wan 2.7 costs between 22 and 88 credits per run, depending on the settings. Pricing: 22 credits (1K base); 44 credits (2K); 88 credits (4K).
What can Wan 2.7 do?
Wan 2.7 supports text to image. Wan 2.7 text-to-image — 1K/2K/4K, up to 9 optional style/character reference images.
Which Nodaro nodes can run Wan 2.7?
Choose Wan 2.7 as the model on the Generate Image node.
Which aspect ratios does Wan 2.7 support?
Wan 2.7 supports 1:1, 16:9, 9:16, 4:3, 3:4, 21:9, 8:1 and 1:8.
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