Wan2.7 Image Pro
Wan2.7 Image Pro is the premium variant of Wan2.7 Image offering more stable composition and more precise prompt comprehension. It shares all capabilities of the standard model including avatar customization, color palette control, marquee editing, multilingual text rendering across 12 languages, and multi-image composition, with improved consistency and fidelity for professional workflows.
API Options
Platform-level options for task execution and delivery.
-
taskType
string required value: imageInference -
Identifier for the type of task being performed
-
taskUUID
string required UUID v4 -
UUID v4 identifier for tracking tasks and matching async responses. Must be unique per task.
-
outputType
string default: URL -
Image output type.
Allowed values 3 values
-
outputFormat
string default: JPG -
Specifies the file format of the generated output. The available values depend on the task type and the specific model's capabilities.
- `JPG`: Best for photorealistic images with smaller file sizes (no transparency).
- `PNG`: Lossless compression, supports high quality and transparency (alpha channel).
- `WEBP`: Modern format providing superior compression and transparency support.
**Transparency**: If you are using features like background removal or LayerDiffuse that require transparency, you must select a format that supports an alpha channel (e.g., `PNG`, `WEBP`, `TIFF`). `JPG` does not support transparency.Allowed values 3 values
-
outputQuality
integer min: 20 max: 99 default: 95 -
Compression quality of the output. Higher values preserve quality but increase file size.
-
webhookURL
string URI -
Specifies a webhook URL where JSON responses will be sent via HTTP POST when generation tasks complete. For batch requests with multiple results, each completed item triggers a separate webhook call as it becomes available.
Learn more 1 resource
- Webhooks PLATFORM
- Webhooks
-
deliveryMethod
string default: sync -
Determines how the API delivers task results.
Allowed values 2 values
- Returns complete results directly in the API response.
- Returns an immediate acknowledgment with the task UUID. Poll for results using getResponse.
Learn more 1 resource
- Task Polling PLATFORM
-
uploadEndpoint
string URI -
Specifies a URL where the generated content will be automatically uploaded using the HTTP PUT method. The raw binary data of the media file is sent directly as the request body. For secure uploads to cloud storage, use presigned URLs that include temporary authentication credentials.
Common use cases:
- Cloud storage: Upload directly to S3 buckets, Google Cloud Storage, or Azure Blob Storage using presigned URLs.
- CDN integration: Upload to content delivery networks for immediate distribution.
// S3 presigned URL for secure upload https://your-bucket.s3.amazonaws.com/generated/content.mp4?X-Amz-Signature=abc123&X-Amz-Expires=3600 // Google Cloud Storage presigned URL https://storage.googleapis.com/your-bucket/content.jpg?X-Goog-Signature=xyz789 // Custom storage endpoint https://storage.example.com/uploads/generated-image.jpgThe content data will be sent as the request body to the specified URL when generation is complete.
-
safety
object -
Content safety checking configuration for image generation.
Properties 2 properties
-
safety»checkContentcheckContent
boolean default: false -
Enable or disable content safety checking. When enabled, defaults to
fastmode.
-
safety»modemode
string default: none -
Safety checking mode for image generation.
Allowed values 2 values
- Disables checking.
- Performs a single check.
-
-
ttl
integer min: 60 -
Time-to-live (TTL) in seconds for generated content. Only applies when
outputTypeisURL.
-
includeCost
boolean default: false -
Include task cost in the response.
-
numberResults
integer min: 1 max: 20 default: 1 -
Number of results to generate. Each result uses a different seed, producing variations of the same parameters.
Inputs
Input resources for the task (images, audio, etc). These must be nested inside the inputs object.
inputs object.-
inputs»referenceImagesreferenceImages
array of strings min items: 1max items: 9 -
List of reference images (UUID, URL, Data URI, or Base64).
Generation Parameters
Core parameters for controlling the generated content.
-
model
string required value: alibaba:wan@2.7-image-pro -
Identifier of the model to use for generation.
Learn more 3 resources
-
positivePrompt
string required max: 3000 -
Text prompt describing elements to include in the generated output.
Learn more 2 resources
-
width
integer required min: 768 max: 4096 step: 16 -
Width of the generated media in pixels.
Learn more 2 resources
-
height
integer required min: 768 max: 4096 step: 16 -
Height of the generated media in pixels.
Learn more 2 resources
-
seed
integer min: 0 max: 2147483647 -
Random seed for reproducible generation. When not provided, a random seed is generated in the unsigned 32-bit range.
Learn more 1 resource
Settings
Technical parameters to fine-tune the inference process. These must be nested inside the settings object.
settings object.-
settings»colorPalettecolorPalette
array of objects min items: 3max items: 10 -
Color palette to guide the generation. Each entry specifies a hex color and its ratio.
-
settings»editRegionseditRegions
array of arrays -
Interactive editing regions. Must match the number of input images. Each entry is an array of bounding boxes in [x1, y1, x2, y2] format using absolute pixel coordinates. Use an empty array for images that don't need editing.
-
settings»sequentialsequential
boolean default: false -
Enables image set output mode for generating multiple related images.
-
settings»thinkingthinking
boolean default: true -
Enables thinking mode for improved quality at the cost of increased generation time.
Submerged Metro Garden Collage
{
"taskType": "imageInference",
"taskUUID": "89da1e2d-67ad-49b3-bd19-3dc4e3940bfd",
"model": "alibaba:wan@2.7-image-pro",
"positivePrompt": "Transform the two reference images into a grand underwater transit sanctuary. Preserve the architectural perspective and platform structure from the metro image, but reimagine the edited areas as cracked aquarium glass openings, schools of silver fish drifting through the station, coral growth along rail edges, and roots and giant ferns spilling across the benches and signage. Use the botanical reference to enrich the edited regions with layered tropical foliage, tangled vines, broad leaves, and vivid blossoms adapted to an aquatic setting. The final composition should feel serene and awe-inspiring, with shafts of filtered cyan light, suspended particles in the water, subtle reflections on metal surfaces, highly coherent composition, realistic textures, premium cinematic detail.",
"width": 1024,
"height": 1024,
"seed": 50646,
"settings": {
"thinking": true,
"editRegions": [
[
[
120,
180,
910,
820
],
[
80,
60,
980,
220
]
],
[
[
40,
40,
980,
980
]
]
],
"colorPalette": [
{
"hex": "#0E4A5A",
"ratio": "34%"
},
{
"hex": "#6FC3C8",
"ratio": "22%"
},
{
"hex": "#2E7D4F",
"ratio": "20%"
},
{
"hex": "#D96C8A",
"ratio": "12%"
},
{
"hex": "#E6D9A2",
"ratio": "12%"
}
]
},
"inputs": {
"referenceImages": [
"https://assets.runware.ai/assets/inputs/87669350-8d86-46ba-8089-e3c8f4bbc914.jpg",
"https://assets.runware.ai/assets/inputs/baf7d2d6-0299-45f0-9429-0970d1c6bd76.jpg"
]
}
}{
"taskType": "imageInference",
"taskUUID": "89da1e2d-67ad-49b3-bd19-3dc4e3940bfd",
"imageUUID": "32af58be-2c1e-47ef-ad43-5a64048d242e",
"imageURL": "https://im.runware.ai/image/os/a11d13/ws/3/ii/32af58be-2c1e-47ef-ad43-5a64048d242e.jpg",
"seed": 50646,
"cost": 0.075
}Moonlit Icebound Railway Viaduct
{
"taskType": "imageInference",
"taskUUID": "2ceefd93-6918-46cf-8324-edef8147ee84",
"model": "alibaba:wan@2.7-image-pro",
"positivePrompt": "An immense stone railway viaduct crossing a frozen northern valley under a bright moon, a sleek vintage midnight-blue train curving across the tallest arch, silver frost on the tracks, scattered pine groves below, distant mountain ridges softened by drifting snow haze, a few warm amber carriage windows glowing against the cold night, crisp star-filled sky, long elegant leading lines, grand sense of scale, ultra-detailed masonry, realistic snow texture, cinematic atmosphere, balanced composition, professional travel-photography style, sharp focus, rich contrast, refined lighting, no people in foreground",
"width": 1536,
"height": 896,
"seed": 82361,
"settings": {
"thinking": true,
"colorPalette": [
{
"hex": "#0E1A2B",
"ratio": "38%"
},
{
"hex": "#C9D8E8",
"ratio": "27%"
},
{
"hex": "#EEF4FA",
"ratio": "18%"
},
{
"hex": "#F0B35A",
"ratio": "9%"
},
{
"hex": "#4E5F73",
"ratio": "8%"
}
]
}
}{
"taskType": "imageInference",
"taskUUID": "2ceefd93-6918-46cf-8324-edef8147ee84",
"imageUUID": "13f990d5-d66c-4d4f-8f4b-8afaac3cdbc9",
"imageURL": "https://im.runware.ai/image/os/a12d13/ws/3/ii/13f990d5-d66c-4d4f-8f4b-8afaac3cdbc9.jpg",
"seed": 82361,
"cost": 0.075
}Glacial Cathedral Procession Tableau
{
"taskType": "imageInference",
"taskUUID": "360dd9f6-ea12-45cd-8922-007cb787231b",
"model": "alibaba:wan@2.7-image-pro",
"positivePrompt": "Combine both reference images into a grand cinematic scene: a solemn procession of masked performers crossing the central aisle of a colossal crystalline cathedral, the architecture formed from translucent frozen facets and towering luminous arches. Emphasize symmetry, depth, and a majestic sense of scale. The figures should appear elegantly integrated into the environment, with flowing garments, reflective surfaces, intricate ceremonial details, drifting frost haze, polished floor reflections, and beams of cold light scattering through the crystal structure. Premium high-detail fantasy realism, refined composition, dramatic atmosphere, sharp focus, extraordinary material rendering, no text, no watermark.",
"width": 1024,
"height": 1280,
"seed": 55039,
"settings": {
"thinking": true,
"colorPalette": [
{
"hex": "#CFE8F7",
"ratio": "34%"
},
{
"hex": "#7FA7D8",
"ratio": "26%"
},
{
"hex": "#E8EEF5",
"ratio": "18%"
},
{
"hex": "#3F5F8C",
"ratio": "14%"
},
{
"hex": "#D9C27A",
"ratio": "8%"
}
]
},
"inputs": {
"referenceImages": [
"https://assets.runware.ai/assets/inputs/244e21da-1360-41b9-81fe-81565078b874.jpg",
"https://assets.runware.ai/assets/inputs/00fbd5d6-b3a3-4b22-abf3-5bce3a57b069.jpg"
]
}
}{
"taskType": "imageInference",
"taskUUID": "360dd9f6-ea12-45cd-8922-007cb787231b",
"imageUUID": "bed1abbf-6d9e-49dc-8757-352961f13c52",
"imageURL": "https://im.runware.ai/image/os/a04d20/ws/3/ii/bed1abbf-6d9e-49dc-8757-352961f13c52.jpg",
"seed": 55039,
"cost": 0.075
}Aerial Kite Arena Panorama
{
"taskType": "imageInference",
"taskUUID": "98486648-d59a-4fbd-83e0-af6e92da8a49",
"model": "alibaba:wan@2.7-image-pro",
"positivePrompt": "Compose a breathtaking panoramic scene of an international aerial kite arena on a rugged ocean headland, merging all eight reference images into one coherent environment. Use the basalt sea cliffs as the primary setting, expanded into a grand natural amphitheater above vivid turquoise water. Fill the sky with a competitive display of colossal kites, featuring the patterned octopus kite as the visual centerpiece and the falcon sport kite carving sharply across the upper airspace. Integrate the timber spectator stand into the cliffside terrain with elegant tensile canopies and tiny crowds implied at a distance. Use the signal pennants and braided ropes as foreground framing elements whipping in strong wind. Place the athlete in the saffron-accented gliding suit near the cliff edge as a featured competitor preparing for launch. Blend the seabirds naturally into the open air around the kites for scale and motion. Use the towering sunlit cloud bank to create depth, drama, and luminous atmosphere. Style: premium cinematic realism, ultra-detailed textures, crisp aerial perspective, dynamic motion, sophisticated environmental storytelling, polished professional travel-campaign look, expansive wide shot, no text, no watermark.",
"width": 1536,
"height": 1024,
"seed": 22473,
"settings": {
"thinking": true,
"colorPalette": [
{
"hex": "#1F5E7A",
"ratio": "28%"
},
{
"hex": "#3FA7D6",
"ratio": "22%"
},
{
"hex": "#F2C14E",
"ratio": "16%"
},
{
"hex": "#D1495B",
"ratio": "14%"
},
{
"hex": "#E7ECEF",
"ratio": "12%"
},
{
"hex": "#5B4B3A",
"ratio": "8%"
}
]
},
"inputs": {
"referenceImages": [
"https://assets.runware.ai/assets/inputs/31239f5c-a7ac-4045-bca3-b52fcae71d89.jpg",
"https://assets.runware.ai/assets/inputs/eca1dd89-10a1-403b-81ac-e4487357131e.jpg",
"https://assets.runware.ai/assets/inputs/f3061f66-1265-411f-8542-332f73a3044f.jpg",
"https://assets.runware.ai/assets/inputs/7a0caa04-cc5a-4936-8b60-af5a167712c6.jpg",
"https://assets.runware.ai/assets/inputs/cb96f4b4-840b-4fe3-b587-f2b9083032a7.jpg",
"https://assets.runware.ai/assets/inputs/cbe5543c-3380-4a80-afe8-176178532ee6.jpg",
"https://assets.runware.ai/assets/inputs/57d79d29-7f0c-4570-84fd-1701ba24a17f.jpg",
"https://assets.runware.ai/assets/inputs/052960d0-e3c9-47f8-a569-3a71c9e2743a.jpg"
]
}
}{
"taskType": "imageInference",
"taskUUID": "98486648-d59a-4fbd-83e0-af6e92da8a49",
"imageUUID": "8a1bafb4-a3f6-4662-8807-1e09dc709e76",
"imageURL": "https://im.runware.ai/image/os/a12d13/ws/3/ii/8a1bafb4-a3f6-4662-8807-1e09dc709e76.jpg",
"seed": 22473,
"cost": 0.075
}