promptstringRequiredRequired. Describe the people, the action and the camera move in plain sentences, and state ages for anyone in the shot. Put a LoRA's trigger word first if it has one.
- Default
- Not specified
- Constraints
- minLength:1
Wan 2.2 LoRA text-to-video turns a written scene into a 5 or 8 second clip on Alibaba's Wan 2.2 A14B model, at 480p or 720p in landscape 16:9 or portrait 9:16. Load up to three of your own LoRAs on the high-noise pass, the low-noise pass or both, with no filter on the prompt, the weights or the result.
Examples use the selected endpoint’s public parameter definitions. Replace the API key and example media, then send the request from your server.
SDKs & integrationshttps://api.spicyapi.ai/api/v1/jobs/createTaskKeep the API key in the server environment variable SPICY_API_KEY. Use Bearer authentication and Content-Type: application/json for JSON requests.
Authorization: Bearer $SPICY_API_KEY# Generate the idempotency key once; reuse it when retrying after a lost response.
export SPICY_IDEMPOTENCY_KEY="${SPICY_IDEMPOTENCY_KEY:-$(uuidgen)}"
curl -X POST https://api.spicyapi.ai/api/v1/jobs/createTask \
-H "Authorization: Bearer $SPICY_API_KEY" \
-H "Content-Type: application/json" \
-H "Idempotency-Key: $SPICY_IDEMPOTENCY_KEY" \
-d '{
"model": "alibaba/wan-2.2-lora/text-to-video",
"input": {
"aspect_ratio": "16:9",
"duration_seconds": 5,
"prompt": "A slow aerial shot drifting over a misty pine forest at sunrise",
"resolution": "480p"
}
}'
# Copy data.taskId from the response into TASK_ID, then poll the status.
TASK_ID="TASK_ID_FROM_RESPONSE"
curl "https://api.spicyapi.ai/api/v1/jobs/recordInfo?taskId=$TASK_ID" \
-H "Authorization: Bearer $SPICY_API_KEY"Generated from this model’s input schema — the same one the API validates every request against.
Place these fields inside the request body’s input object. Names and types match the API. Do not assume a default when none is specified.
promptstringRequiredRequired. Describe the people, the action and the camera move in plain sentences, and state ages for anyone in the shot. Put a LoRA's trigger word first if it has one.
seedintegerOptional0 to 2147483647. The same seed with the same inputs returned an identical clip in our tests; hold it fixed while you sweep a LoRA's scale.
low_noise_lorasarray<object>OptionalUp to three LoRAs on the low-noise expert, where detail and texture resolve. The low-noise file of a paired Wan 2.2 LoRA goes here.
low_noise_loras[].pathstringRequired within objectDirect URL of a LoRA weights file.
low_noise_loras[].scalenumberRequired within objectWeight strength from zero to four.
high_noise_lorasarray<object>OptionalUp to three LoRAs on the high-noise expert, where composition and motion are decided. The high-noise file of a paired Wan 2.2 LoRA goes here.
high_noise_loras[].pathstringRequired within objectDirect URL of a LoRA weights file.
high_noise_loras[].scalenumberRequired within objectWeight strength from zero to four.
lorasarray<object>OptionalUp to three {path, scale} entries applied to both experts; scale 0 to 4, default 1. Use this slot for a single-file LoRA. The path must link the .safetensors file directly.
loras[].pathstringRequired within objectDirect URL of a LoRA weights file.
loras[].scalenumberRequired within objectWeight strength from zero to four.
duration_secondsintegerOptionalAffects priceExactly 5 or 8. Any other value is rejected rather than rounded. The clip comes back about a third of a second longer than requested.
58resolutionstringOptionalAffects price480p (default) or 720p. 720p costs more per second and takes about twice as long. Prove a LoRA combination at 480p first.
"480p""720p"aspect_ratiostringOptional16:9 (default) or 9:16. Both are rendered natively; there is no square or other ratio.
"16:9""9:16"negative_promptstringOptionalThings to keep out of the clip, such as blur, extra fingers, text or watermarks. Optional; leave it empty to let the prompt alone decide.
{
"additionalProperties": false,
"properties": {
"aspect_ratio": {
"default": "16:9",
"description": "Output aspect ratio.",
"enum": [
"16:9",
"9:16"
],
"type": "string",
"x-ui": {
"order": 80,
"widget": "select"
}
},
"duration_seconds": {
"default": 5,
"description": "Output video duration in seconds.",
"enum": [
5,
8
],
"type": "integer",
"x-ui": {
"affects_price": true,
"order": 60,
"widget": "radio"
}
},
"high_noise_loras": {
"default": [],
"description": "LoRA weights applied to the high-noise expert.",
"items": {
"additionalProperties": false,
"properties": {
"path": {
"contentMediaType": [
"application/octet-stream"
],
"description": "Direct URL of a LoRA weights file.",
"format": "uri",
"minLength": 1,
"type": "string"
},
"scale": {
"default": 1,
"description": "Weight strength from zero to four.",
"maximum": 4,
"minimum": 0,
"type": "number"
}
},
"required": [
"path",
"scale"
],
"type": "object"
},
"maxItems": 3,
"type": "array",
"x-ui": {
"order": 40,
"widget": "object-list"
}
},
"loras": {
"default": [],
"description": "LoRA weights applied to both noise experts.",
"items": {
"additionalProperties": false,
"properties": {
"path": {
"contentMediaType": [
"application/octet-stream"
],
"description": "Direct URL of a LoRA weights file.",
"format": "uri",
"minLength": 1,
"type": "string"
},
"scale": {
"default": 1,
"description": "Weight strength from zero to four.",
"maximum": 4,
"minimum": 0,
"type": "number"
}
},
"required": [
"path",
"scale"
],
"type": "object"
},
"maxItems": 3,
"type": "array",
"x-ui": {
"order": 50,
"widget": "object-list"
}
},
"low_noise_loras": {
"default": [],
"description": "LoRA weights applied to the low-noise expert.",
"items": {
"additionalProperties": false,
"properties": {
"path": {
"contentMediaType": [
"application/octet-stream"
],
"description": "Direct URL of a LoRA weights file.",
"format": "uri",
"minLength": 1,
"type": "string"
},
"scale": {
"default": 1,
"description": "Weight strength from zero to four.",
"maximum": 4,
"minimum": 0,
"type": "number"
}
},
"required": [
"path",
"scale"
],
"type": "object"
},
"maxItems": 3,
"type": "array",
"x-ui": {
"order": 30,
"widget": "object-list"
}
},
"negative_prompt": {
"description": "What must stay out of the clip.",
"type": "string",
"x-ui": {
"order": 95,
"widget": "textarea"
}
},
"prompt": {
"description": "Describe the scene, the action and the camera move.",
"minLength": 1,
"type": "string",
"x-ui": {
"order": 100,
"widget": "textarea"
}
},
"resolution": {
"default": "480p",
"description": "Output video resolution.",
"enum": [
"480p",
"720p"
],
"type": "string",
"x-ui": {
"affects_price": true,
"order": 70,
"widget": "radio"
}
},
"seed": {
"description": "Random seed; the same seed and inputs repeat the clip.",
"maximum": 2147483647,
"minimum": 0,
"type": "integer",
"x-ui": {
"order": 10,
"widget": "number"
}
}
},
"required": [
"prompt"
],
"type": "object",
"x-pricing": {
"billingMode": "variant_matrix",
"variantFields": [
"resolution"
]
}
}HTTP 202 means the task was accepted, not completed. Save the returned taskId and query that task. Do not create another task while waiting for its result.
HTTP/1.1 202 Accepted
Location: /api/v1/jobs/recordInfo?taskId=job_01k3m8x9q2z4v7n5p6r8s0t1w3
{
"code": 200,
"msg": "success",
"request_id": "req_example_create",
"data": {
"taskId": "job_01k3m8x9q2z4v7n5p6r8s0t1w3",
"state": "queued",
"estimatedCost": "0.750000"
}
}The accepted response includes the estimate so your app can show the same amount in task history and billing.
curl --get "https://api.spicyapi.ai/api/v1/jobs/recordInfo" \
--data-urlencode "taskId=$TASK_ID" \
-H "Authorization: Bearer $SPICY_API_KEY"Start polling at about 2 seconds and gradually increase the interval. Stop at a terminal state. After a connection failure, query the original taskId. Retry creation only with the original idempotency key and body.
import { verifyWebhook } from "@spicyapi/sdk";
// express.raw keeps the bytes we signed; express.json never matches.
app.post("/hooks/spicy", express.raw({ type: "application/json" }), (req, res) => {
const { payload } = verifyWebhook({
rawBody: req.body,
timestamp: req.header("X-Webhook-Timestamp"),
signature: req.header("X-Webhook-Signature"),
payloadVersion: Number(req.header("X-Webhook-Payload-Version")),
secret: process.env.SPICY_WEBHOOK_SECRET,
});
res.status(200).end();
void handleFinishedTask(payload);
});Pass callBackUrl when you create the task and the finished record is POSTed to you — no polling loop at all. Every delivery carries X-Webhook-Timestamp, X-Webhook-Signature and X-Webhook-Payload-Version. The signature is a base64 HMAC-SHA256 over taskId.timestamp.sha256(body), so it must be checked against the raw bytes: parsing the JSON and re-serialising it changes them and the check will fail. Failed deliveries are retried, so the same taskId can arrive twice — make the handler idempotent. Answer 2xx first and do the work afterwards; a slow handler is treated as a failed delivery.
Consume output only when state is succeeded. On failure, use errorCode, errorMessage and request_id to investigate. Example costs and states do not represent an actual bill.
{
"code": 200,
"msg": "success",
"request_id": "req_example_record",
"data": {
"taskId": "job_01k3m8x9q2z4v7n5p6r8s0t1w3",
"model": "alibaba/wan-2.2-lora/text-to-video",
"state": "succeeded",
"output": {
"assets": [
{
"key": "tasks/2026/08/28/job_01k3m8x9q2z4v7n5p6r8s0t1w3/3f7a1c9e5b2d48f0a6c1e3d5b7f9a1c3.mp4",
"mime": "video/mp4",
"url": "https://example.r2.cloudflarestorage.com/results/job_01k3m8x9q2z4v7n5p6r8s0t1w3/result.mp4?X-Amz-Signature=SIGNATURE_FROM_RESPONSE",
"expiresAt": "2026-08-28T12:20:08.000Z"
}
]
},
"cost": "0.750000",
"settled": true,
"createdAt": "2026-08-28T12:00:00Z",
"completedAt": "2026-08-28T12:00:30Z"
}
}For each available asset, open or download assets[].url directly without an API Authorization header. The signed URL expires at expiresAt; poll the task again to refresh it while the asset remains within its retention period. A pending or unavailable asset has no URL. Treat signed URLs as private.
Use SpicyAPI in your app, terminal, AI assistant or visual workflow. Choose a setup guide below.
You do not have to write any of the code above. Connect the MCP server once and any agent that speaks MCP — Claude Code, Codex, Cursor, Windsurf, VS Code, Gemini CLI, Cline, LibreChat — can run this model by name, or run it from your shell with a single command.
Use alibaba/wan-2.2-lora/text-to-video to make a five-second shot of a neon-lit rooftop at dusk, slow push-in, and save it to ./out/.
The agent looks the model up in the live catalogue, uploads the local file for you, then shows the exact quote and its maximum charge and waits for your confirmation. Nothing is billed until you say yes.
claude mcp add spicyapi -e SPICY_API_KEY=$SPICY_API_KEY \
-- npx --yes --package=@spicyapi/mcp spicyapi-mcp
npx skills add spicyapi-ai/spicy-skillThe first line gives the agent the tools; the second gives it the Skill — the operating rules for them, so it quotes before it bills, uploads local files instead of pasting bytes, and reads the finished asset URL rather than guessing. Every other client takes the same server through its own config file: see the developer hub.
npx @spicyapi/cli tasks create --model alibaba/wan-2.2-lora/text-to-video \
--input-json '{"aspect_ratio":"16:9","duration_seconds":5,"prompt":"A slow aerial shot drifting over a misty pine forest at sunrise","resolution":"480p"}' \
--waitThe input is this endpoint’s own schema, same as the examples above. --wait polls until the task is finished and prints it; add --yes to skip the confirmation prompt in CI. Set SPICY_API_KEY first — one key works for the API, the CLI and the MCP server.
npx @spicyapi/cli tasks create --model alibaba/wan-2.2-lora/text-to-video \
--input-json '{…}' --retention 1h --wait
npx @spicyapi/cli tasks get $TASK_ID # read back the retention that applied--retention only ever shortens the window — 30m, 1h, 7d, or 0 to delete as soon as the task reaches a terminal state. The value that actually applies is the shortest of your request, your account settings and the platform maximum, so read it back from the task record rather than assuming the number you asked for took effect. Passing a longer window than your account allows does nothing.
Install the SpicyAPI nodes from ComfyUI Manager or with the command below, then search for Wan 2.2 LoRA · Text To Video on the canvas. The node has the same options as this page and shows its price before it runs.
cd ComfyUI/custom_nodes
git clone https://github.com/spicyapi-ai/comfyui-spicyapiThe embedded panel reads the same schema as this page, so it cannot drift from the API. If your docs need the content to be searchable, read the JSON under /api/embed/models/ and render it yourself.
<iframe src="https://spicyapi.ai/embed/en/models/wan-2-2-lora/api?model=alibaba%2Fwan-2.2-lora%2Ftext-to-video" width="100%" height="560" loading="lazy" title="Request example" style="border:1px solid rgba(0,0,0,.12)"></iframe>