Nodaro DocsImage models
Wan 2.7
Wan 2.7 is a Alibaba image model in Nodaro for text to image, from 20 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 | 20 |
| 2K | 40 |
| 4K | 80 |
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:
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 | Modes | Credits | Details |
|---|---|---|---|---|
| Qwen | Alibaba | Text to image | 10 | Cheap, fast, decent quality. Native negative-prompt support. |
| Qwen (I2I) | Alibaba | Image to image | 10 | Image-to-image with Qwen. |
| Qwen Edit | Alibaba | Image editing | 13 | Qwen image edit endpoint with native negative prompt. |
| Wan 2.7 Pro | Alibaba | Text to image | from 60 | Wan 2.7 Pro text-to-image — higher quality, 1K/2K/4K, no image input. |
Frequently asked questions
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