The Decart adapter provides access to Decart's image and video generation models.
npm install @decartai/tanstack-ai-adapter
npm install @decartai/tanstack-ai-adapter
import { generateImage } from "@tanstack/ai";
import { decartImage } from "@decartai/tanstack-ai-adapter";
const result = await generateImage({
adapter: decartImage("lucy-pro-t2i"),
prompt: "A serene mountain landscape at sunset",
});
import { generateImage } from "@tanstack/ai";
import { decartImage } from "@decartai/tanstack-ai-adapter";
const result = await generateImage({
adapter: decartImage("lucy-pro-t2i"),
prompt: "A serene mountain landscape at sunset",
});
import { generateImage } from "@tanstack/ai";
import { createDecartImage } from "@decartai/tanstack-ai-adapter";
const adapter = createDecartImage("lucy-pro-t2i", process.env.DECART_API_KEY!);
const result = await generateImage({
adapter,
prompt: "A serene mountain landscape at sunset",
});
import { generateImage } from "@tanstack/ai";
import { createDecartImage } from "@decartai/tanstack-ai-adapter";
const adapter = createDecartImage("lucy-pro-t2i", process.env.DECART_API_KEY!);
const result = await generateImage({
adapter,
prompt: "A serene mountain landscape at sunset",
});
import { createDecartImage, type DecartImageConfig } from "@decartai/tanstack-ai-adapter";
const config: Omit<DecartImageConfig, "apiKey"> = {
baseUrl: "https://api.decart.ai", // Optional, for custom endpoints
};
const adapter = createDecartImage("lucy-pro-t2i", process.env.DECART_API_KEY!, config);
import { createDecartImage, type DecartImageConfig } from "@decartai/tanstack-ai-adapter";
const config: Omit<DecartImageConfig, "apiKey"> = {
baseUrl: "https://api.decart.ai", // Optional, for custom endpoints
};
const adapter = createDecartImage("lucy-pro-t2i", process.env.DECART_API_KEY!, config);
Generate images with lucy-pro-t2i:
import { generateImage } from "@tanstack/ai";
import { decartImage } from "@decartai/tanstack-ai-adapter";
const result = await generateImage({
adapter: decartImage("lucy-pro-t2i"),
prompt: "A futuristic cityscape at night",
});
console.log(result.images[0].b64Json);
import { generateImage } from "@tanstack/ai";
import { decartImage } from "@decartai/tanstack-ai-adapter";
const result = await generateImage({
adapter: decartImage("lucy-pro-t2i"),
prompt: "A futuristic cityscape at night",
});
console.log(result.images[0].b64Json);
const result = await generateImage({
adapter: decartImage("lucy-pro-t2i"),
prompt: "A portrait of a robot artist",
modelOptions: {
resolution: "720p",
orientation: "portrait",
seed: 42,
},
});
const result = await generateImage({
adapter: decartImage("lucy-pro-t2i"),
prompt: "A portrait of a robot artist",
modelOptions: {
resolution: "720p",
orientation: "portrait",
seed: 42,
},
});
| Option | Type | Default | Description |
|---|---|---|---|
| resolution | "720p" | "720p" | Output resolution |
| orientation | "portrait" | "landscape" | "landscape" | Image orientation |
| seed | number | - | Seed for reproducible generation |
Video generation uses an async job/polling architecture.
import { generateVideo } from "@tanstack/ai";
import { decartVideo } from "@decartai/tanstack-ai-adapter";
const { jobId } = await generateVideo({
adapter: decartVideo("lucy-pro-t2v"),
prompt: "A cat playing with a ball of yarn",
});
console.log("Job started:", jobId);
import { generateVideo } from "@tanstack/ai";
import { decartVideo } from "@decartai/tanstack-ai-adapter";
const { jobId } = await generateVideo({
adapter: decartVideo("lucy-pro-t2v"),
prompt: "A cat playing with a ball of yarn",
});
console.log("Job started:", jobId);
import { getVideoJobStatus } from "@tanstack/ai";
import { decartVideo } from "@decartai/tanstack-ai-adapter";
const status = await getVideoJobStatus({
adapter: decartVideo("lucy-pro-t2v"),
jobId,
});
console.log("Status:", status.status); // "pending" | "processing" | "completed" | "failed"
if (status.status === "completed" && status.url) {
console.log("Video URL:", status.url);
}
import { getVideoJobStatus } from "@tanstack/ai";
import { decartVideo } from "@decartai/tanstack-ai-adapter";
const status = await getVideoJobStatus({
adapter: decartVideo("lucy-pro-t2v"),
jobId,
});
console.log("Status:", status.status); // "pending" | "processing" | "completed" | "failed"
if (status.status === "completed" && status.url) {
console.log("Video URL:", status.url);
}
import { generateVideo, getVideoJobStatus } from "@tanstack/ai";
import { decartVideo } from "@decartai/tanstack-ai-adapter";
async function createVideo(prompt: string) {
const adapter = decartVideo("lucy-pro-t2v");
// Create the job
const { jobId } = await generateVideo({ adapter, prompt });
console.log("Job created:", jobId);
// Poll for completion
let status = "pending";
while (status !== "completed" && status !== "failed") {
await new Promise((resolve) => setTimeout(resolve, 5000));
const result = await getVideoJobStatus({ adapter, jobId });
status = result.status;
console.log(`Status: ${status}`);
if (result.status === "failed") {
throw new Error("Video generation failed");
}
if (result.status === "completed" && result.url) {
return result.url;
}
}
}
const videoUrl = await createVideo("A drone shot over a tropical beach");
import { generateVideo, getVideoJobStatus } from "@tanstack/ai";
import { decartVideo } from "@decartai/tanstack-ai-adapter";
async function createVideo(prompt: string) {
const adapter = decartVideo("lucy-pro-t2v");
// Create the job
const { jobId } = await generateVideo({ adapter, prompt });
console.log("Job created:", jobId);
// Poll for completion
let status = "pending";
while (status !== "completed" && status !== "failed") {
await new Promise((resolve) => setTimeout(resolve, 5000));
const result = await getVideoJobStatus({ adapter, jobId });
status = result.status;
console.log(`Status: ${status}`);
if (result.status === "failed") {
throw new Error("Video generation failed");
}
if (result.status === "completed" && result.url) {
return result.url;
}
}
}
const videoUrl = await createVideo("A drone shot over a tropical beach");
const { jobId } = await generateVideo({
adapter: decartVideo("lucy-pro-t2v"),
prompt: "A timelapse of a blooming flower",
modelOptions: {
resolution: "720p",
orientation: "landscape",
seed: 42,
},
});
const { jobId } = await generateVideo({
adapter: decartVideo("lucy-pro-t2v"),
prompt: "A timelapse of a blooming flower",
modelOptions: {
resolution: "720p",
orientation: "landscape",
seed: 42,
},
});
| Option | Type | Default | Description |
|---|---|---|---|
| resolution | "720p" | "480p" | "720p" | Output resolution |
| orientation | "portrait" | "landscape" | "landscape" | Video orientation |
| seed | number | - | Seed for reproducible generation |
Set your API key in environment variables:
DECART_API_KEY=your-api-key-here
DECART_API_KEY=your-api-key-here
Creates a Decart image adapter using environment variables.
Parameters:
Returns: A Decart image adapter instance.
Creates a Decart image adapter with an explicit API key.
Parameters:
Returns: A Decart image adapter instance.
Creates a Decart video adapter using environment variables.
Parameters:
Returns: A Decart video adapter instance.
Creates a Decart video adapter with an explicit API key.
Parameters:
Returns: A Decart video adapter instance.
