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Wan 2.5 Image to Image

alibaba/wan/2.5/image-to-image

Alibaba Wan 2.5 image-to-image model that edits one or more input images from a natural-language instruction, with selectable output aspect ratio.

Base price
$0.03USD / run
Execution
async
Model type
image
Input fields
4
Production route

Try the model

Playground

Open playground
Input
The text prompt describing how to edit the image. Max 2000 characters.

PNG, JPEG, WebP, or GIF · 20 MiB maximum each

URLs of images to edit. For single-image editing, provide 1 URL. For multi-reference generation, provide up to 2 URLs. If more than 2 URLs are provided, only the first 2 will be used.
The aspect ratio of the generated image. Allowed values: 21:9, 16:9, 3:2, 4:3, 5:4, 1:1, 4:5, 3:4, 2:3, 9:16.
Random seed for reproducibility. If None, a random seed is chosen.
OutputReady

Your output will appear here

Complete the inputs, then click Run.

Specifications

Pricing

Base price
$0.03 / run

Context & modalities

Input
Schema-defined
Output
image

Capabilities

Chat
Not supported
Vision
Not supported
Reasoning
Not supported
Structured output
Not supported
Function calling
Not supported
Audio input
Not supported

Access

Provider
Alibaba
Model ID
alibaba/wan/2.5/image-to-image
Execution
async
API
Unified Run API
Endpoint
/v1/run

API README

Wan 2.5 Image to Image

Wan 2.5 Image to Image is the Wan 2.5 workflow for visual generation. It models visual appearance and time together so the route’s written direction, source imagery, speech, masks, or structural conditions influence one coherent result rather than a collection of disconnected frames or a generic endpoint response.

Choose this exact route when the available assets and deliverable specifically call for visual generation. Identify every subject and source, state the desired action or transformation, then describe camera behavior, pacing, environment, lighting, atmosphere, and preservation requirements; local schema fields handle resolution, duration, seed, and delivery separately from the creative brief.

Highlights

  • 2.5 Written-scene filmmaking. Builds subjects, action, setting, and shot language from a text brief.
  • 2.5 Temporal motion coherence. Maintains plausible movement and interaction across consecutive frames.
  • 2.5 Cinematic camera interpretation. Responds to framing, lens behavior, camera movement, and pacing.
  • 2.5 Scene continuity. Keeps environment and subject logic connected throughout the clip.

Pricing

ConfigurationBilling unitPrice
Base generationPer request$0.03

When to Use

✅ Good fit❌ Consider alternatives
The project needs this exact image editing workflowThe intended task belongs to a different media route
Available source media matches every required fieldRequired assets or usage rights are unavailable
The brief can define subject, action, camera, and styleOutput must be deterministic at frame or pixel level
Supported duration, resolution, and framing fit deliveryFinal placement requires unsupported specifications
An asynchronous generation job fits productionA live or frame-synchronous response is mandatory

Prompt Guide

Describe the result as a shot or design brief: identify subjects and references, state the action or transformation, specify environment and composition, then add camera behavior, lighting, pacing, style, sound, and preservation constraints where relevant. Use exact reference identifiers exposed by the local schema.

{
  "prompt": "A cinematic scene with clearly directed subject action, camera movement, lighting, pacing, and atmosphere",
  "seed": 1,
  "images": [
    "https://example.com/reference.jpg"
  ],
  "aspect_ratio": "21:9"
}

Technical Specs

SpecValue
Model IDalibaba/wan/2.5/image-to-image
Input fieldsseed (integer)<br>images (array)<br>prompt (string)<br>aspect_ratio (string; 21:9, 16:9, 3:2, 4:3, 5:4, 1:1, 4:5, 3:4, 2:3, 9:16)
Required inputprompt
Output fieldsurl, content_type
ExecutionAsynchronous job

Related Models

Start building

Send your first request

OpenAI-compatible endpoint with unified authentication and usage tracking.

Production API
Unified Run API endpoint
https://api.sandbase.ai/v1/run
Model ID
alibaba/wan/2.5/image-to-image
# The quoted heredoc keeps Unicode and shell metacharacters unchanged.
result=$(curl --fail-with-body --silent \
  -X POST "https://api.sandbase.ai/v1/run" \
  -H "Authorization: Bearer $SANDBASE_API_KEY" \
  -H "Content-Type: application/json" \
  --data-binary @- <<'SANDBASE_JSON'
{
  "model": "alibaba/wan/2.5/image-to-image",
  "images": [
    "https://static.sandbase.ai/examples/alibaba/wan/2.5/image-edit/input_images_0.png"
  ],
  "prompt": "Reimagine the scene under a raging thunderstorm at night: lightning forks across the sky, illuminating the samurai in stark flashes of white light."
}
SANDBASE_JSON
)
run_id=$(printf '%s' "$result" | jq -r .id)
for attempt in $(seq 1 120); do
  status=$(printf '%s' "$result" | jq -r .status)
  case "$status" in completed|failed|timeout) break ;; esac
  sleep 2
  result=$(curl --fail-with-body --silent \
    -H "Authorization: Bearer $SANDBASE_API_KEY" \
    "https://api.sandbase.ai/v1/run/$run_id")
done
status=$(printf '%s' "$result" | jq -r .status)
[ "$status" = completed ] || { echo "Generation ended: $status" >&2; exit 1; }
printf '%s\n' "$result"

Choose your model

Compare models

All image & video models
ModelTypeDefault priceReleased
AlibabaImage$0.03 / runSep 25, 2025
AlibabaImage$0.04 / runJul 21, 2026
AlibabaImage$0.04 / runJul 21, 2026
AlibabaImage$0.04 / runJul 21, 2026
AlibabaImage$0.07 / runApr 1, 2026
AlibabaImage$0.03 / runApr 1, 2026

Questions

FAQ

How do I call Wan 2.5 Image to Image through SandBase?

Create a SandBase API key, then send requests with the model ID "alibaba/wan/2.5/image-to-image" to Unified Run API (/v1/run) at https://api.sandbase.ai. The request examples on this page show the exact payload.

Do I need a separate Alibaba account?

No. One SandBase API key and balance gives you access to Wan 2.5 Image to Image and the other models in the catalog; you do not need to sign up with Alibaba separately.