wan2.7-image
Provider list prices: no platform markup, pay-as-you-go. These are official list prices. Logged-in customers may see effective prices including workspace discounts on /console/pricing.
Use wan2.7-image in 30 seconds
OpenAI-compatible: swap the base_url, keep your SDK. POST /v1/images/generations
from openai import OpenAI
client = OpenAI(
base_url="https://synthorai.io/v1",
api_key="sk-syn-...",
)
resp = client.images.generate(
model="wan2.7-image",
prompt="a watercolor lighthouse at dawn",
size="1024x1024",
)
print(resp.data[0].b64_json[:80])import OpenAI from "openai";
const client = new OpenAI({
baseURL: "https://synthorai.io/v1",
apiKey: "sk-syn-...",
});
const resp = await client.images.generate({
model: "wan2.7-image",
prompt: "a watercolor lighthouse at dawn",
size: "1024x1024",
});
console.log(resp.data?.[0]?.b64_json?.slice(0, 80));curl https://synthorai.io/v1/images/generations \
-H "Authorization: Bearer sk-syn-..." \
-H "Content-Type: application/json" \
-d '{
"model": "wan2.7-image",
"prompt": "a watercolor lighthouse at dawn",
"size": "1024x1024"
}'package main
import (
"context"
"fmt"
"github.com/openai/openai-go/v3"
"github.com/openai/openai-go/v3/option"
)
func main() {
client := openai.NewClient(
option.WithBaseURL("https://synthorai.io/v1"),
option.WithAPIKey("sk-syn-..."),
)
resp, _ := client.Images.Generate(context.TODO(), openai.ImageGenerateParams{
Model: "wan2.7-image",
Prompt: "a watercolor lighthouse at dawn",
Size: "1024x1024",
})
fmt.Println(resp.Data[0].B64JSON[:80])
}import com.openai.client.OpenAIClient;
import com.openai.client.okhttp.OpenAIOkHttpClient;
import com.openai.models.images.*;
OpenAIClient client = OpenAIOkHttpClient.builder()
.baseUrl("https://synthorai.io/v1")
.apiKey("sk-syn-...")
.build();
ImagesResponse resp = client.images().generate(
ImageGenerateParams.builder()
.model("wan2.7-image")
.prompt("a watercolor lighthouse at dawn")
.size("1024x1024")
.build());
System.out.println(resp.data().orElseThrow().get(0).b64Json().orElseThrow().substring(0, 80));About wan2.7-image
Wan2.7-Image is the image model of Alibaba's Wan (Wanxiang) series, built on a unified architecture covering text-to-image generation, instruction-based image editing, image-set generation with consistent characters across outputs, and multi-image reference using up to nine input images.
- The official docs note support for up to 2K resolution in editing and image-set scenarios, and position this base variant as the faster-generation option in the 2.7 lineup.
- Synthorai makes Wan2.7-Image available to developers through its OpenAI-compatible endpoint.
Specs & limits
| Modalities | text + image → image |
| Image capabilities | Up to 2K output, aspect ratios 1:8-8:1; text-to-image, editing, image sets (1-12), up to 9 reference images; multilingual text rendering (12 languages) |
| Notable | Same feature set as wan2.7-image-pro with faster generation and lower max resolution; no official open-weights release for Wan2.7 |
FAQ
Is the wan2.7-image API free to try?
Yes: new accounts get 10 trial calls and up to $1 in free credit, no card required. That's enough to try wan2.7-image against your real workload before adding a payment method.
What is wan2.7-image best at?
Unified architecture for generation and editing, plus image sets with consistent characters and multi-image reference up to nine inputs. See the About section for the full picture from the vendor's own release notes.
How much does wan2.7-image cost?
wan2.7-image costs $0.03 per generated image on Synthorai: pay-as-you-go, no platform markup, no subscription.
How do I generate images with the wan2.7-image API?
POST to /v1/images/generations on Synthorai with model="wan2.7-image". It follows the OpenAI images API shape, so no vendor SDK is needed.
How do I get access to wan2.7-image?
Point your existing OpenAI SDK at base_url="https://synthorai.io/v1", set model="wan2.7-image", and you're done. One API key covers every model on the gateway.