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Alibaba Wan 2.2 — Text to Video (FastWan 5B)
Wan 2.2's 5B FastVideo model produces up to 5 seconds of video 720p at 24FPS with fluid motion and powerful prompt understanding
Input
Add your inputs and customize the generation settings.
Result & Pricing
Video output — your generated video will appear here.
Your video will appear here
Choose your inputs and customize your settings.
Model pricing (tax excluded) per output at the selected resolution
| Specification | Webot INR |
|---|---|
| 480p | ₹1.50 |
| 580p | ₹2.25 |
| 720p | ₹3.00 |
Calculate credits in the input panel for your selected settings.
Prices, estimates and credit deductions exclude tax. Any applicable tax is charged only when you buy plans or credits.
Prices are converted to INR. Credits use your current plan rate.
- Prices shown are estimates, not final charges. Final billing details will be available in Reports after generation is complete.
API
WEBOT API · Text to Video (FastWan 5B)
Generate from your server with your WEBOT account credits.
Use your 120-character WEBOT customer key (a–z, A–Z, 0–9). Send
Authorization: Bearer YOUR_KEY. Keys are secrets: call from a server, never from public frontend code. Results come from verified webhooks and remain saved if your stream disconnects.1. Configure your server
WEBOT_BASE_URL=https://webot.online
WEBOT_API_KEY=<your-server-side-WEBOT-key>This base URL is resolved from verified domain mappings and your direct creator reseller. Forwarded Host headers are not trusted. New custom reseller domains need DNS, TLS and platform verification before activation.
2. Quote, then generate
| Method | Endpoint | Purpose |
|---|---|---|
| POST | https://webot.online/api/v1/models/alibaba_wan_v2_2_5b_text_to_video_fast_wan/quote | Validate input and calculate credits (no deduction). |
| POST | https://webot.online/api/v1/models/alibaba_wan_v2_2_5b_text_to_video_fast_wan/requests | Reserve quoted credits and queue an asynchronous job. |
| GET | https://webot.online/api/v1/models/alibaba_wan_v2_2_5b_text_to_video_fast_wan/requests/{request_id}/result | Read your saved result: 202 pending, 200 terminal. |
| GET | https://webot.online/api/v1/models/alibaba_wan_v2_2_5b_text_to_video_fast_wan/requests/{request_id}/events | Authenticated SSE: generation / terminal events. |
Send JSON {"input":{…}} to quote. Send the same input plus integer quoted_credits to generate, with Authorization: Bearer … and Idempotency-Key. Use a unique 16–128 character key per new job; persist it and reuse the same key and input on any uncertain response. Never retry with a new key: that creates a second chargeable job.
Credits are reserved only after validation and a durable request is saved. A changed quote or insufficient balance returns 409. Credits exclude purchase taxes. The quoted amount is an initial reservation. After generation, the final charge replaces it using confirmed usage. Any verified unused allocation becomes available automatically; additional usage may require more credits. Missing billing stays pending, including for failed jobs.
3. Input example
Save this as input.json. Replace sample prompts, files and media URLs with your own. Schemas do not guarantee provider acceptance of the content.
{
"prompt": "Audit sample text",
"interpolator_model": "film",
"adjust_fps_for_interpolation": true,
"aspect_ratio": "16:9",
"num_frames": 81,
"frames_per_second": 24,
"num_interpolated_frames": 0,
"enable_safety_checker": false,
"video_write_mode": "balanced",
"video_quality": "high",
"resolution": "720p",
"enable_output_safety_checker": false,
"guidance_scale": 3.5,
"negative_prompt": "",
"enable_prompt_expansion": false
}4. Language examples
# Save the model's example input as input.json, then replace prompts/media URLs.
# Requires curl and jq. Store NONCE once for this job; reuse it on any retry.
export NONCE="$(openssl rand -hex 16)"
BASE="${WEBOT_BASE_URL%/}"
jq -n --slurpfile input input.json '{input:$input[0]}' > quote-body.json
curl --fail-with-body -sS "$BASE/api/v1/models/alibaba_wan_v2_2_5b_text_to_video_fast_wan/quote" \
-H "Authorization: Bearer $WEBOT_API_KEY" -H 'Content-Type: application/json' \
--data-binary @quote-body.json > quote.json
CREDITS=$(jq -er '.quote.credits_consumed' quote.json)
jq --argjson credits "$CREDITS" '. + {quoted_credits:$credits}' quote-body.json > request-body.json
curl --fail-with-body -sS "$BASE/api/v1/models/alibaba_wan_v2_2_5b_text_to_video_fast_wan/requests" \
-H "Authorization: Bearer $WEBOT_API_KEY" -H "Idempotency-Key: $NONCE" \
-H 'Content-Type: application/json' --data-binary @request-body.json > job.json
# Subscribe; after a nonterminal disconnect, reconnect this SAME URL.
curl --fail-with-body -N "$(jq -er '.events_url' job.json)" -H "Authorization: Bearer $WEBOT_API_KEY"
# Read saved output after terminal notification (never call provider status/results).
curl --fail-with-body -sS "$(jq -er '.result_url' job.json)" -H "Authorization: Bearer $WEBOT_API_KEY"// Node.js 18+. Save your customized input in input.json.
import { readFileSync } from 'node:fs';
import { randomUUID } from 'node:crypto';
const base = process.env.WEBOT_BASE_URL.replace(/\/$/, '');
const key = process.env.WEBOT_API_KEY;
const input = JSON.parse(readFileSync('input.json', 'utf8'));
const nonce = process.env.WEBOT_JOB_NONCE || randomUUID(); // Persist before submission.
async function post(path, body, nonce) {
const response = await fetch(base + path, {method:'POST', headers:{
Authorization:`Bearer ${key}`, 'Content-Type':'application/json',
...(nonce ? {'Idempotency-Key':nonce} : {})}, body:JSON.stringify(body)});
const json = await response.json();
if (!response.ok) throw new Error(JSON.stringify(json));
return json;
}
const {quote} = await post('/api/v1/models/alibaba_wan_v2_2_5b_text_to_video_fast_wan/quote', {input});
const job = await post('/api/v1/models/alibaba_wan_v2_2_5b_text_to_video_fast_wan/requests', {input, quoted_credits:quote.credits_consumed}, nonce);
console.log(job); // Stable WEBOT request_id, events_url, result_url.
// Stream saved webhook state. Reconnect ONLY the event stream, not the generation.
while (!job.terminal || job.financial_pending) {
const stream = await fetch(job.events_url, {headers:{Authorization:`Bearer ${key}`}});
if (!stream.ok) throw new Error(`Event stream HTTP ${stream.status}`);
let buffer = '';
for await (const chunk of stream.body.pipeThrough(new TextDecoderStream())) {
buffer += chunk;
let end;
while ((end = buffer.indexOf('\n\n')) !== -1) {
const event = buffer.slice(0, end); buffer = buffer.slice(end + 2);
const data = event.split('\n').find(line => line.startsWith('data: '));
if (!data) continue;
const state = JSON.parse(data.slice(6));
if (state.error && !state.status) throw new Error(JSON.stringify(state.error));
if (state.terminal && !state.financial_pending) { console.log(state.output ?? state.error); process.exit(0); }
}
}
await new Promise(resolve => setTimeout(resolve, 1500));
}
console.log(job.output ?? job.error);// Node.js 18+. Save your customized input in input.json.
import { readFileSync } from 'node:fs';
import { randomUUID } from 'node:crypto';
const base = process.env.WEBOT_BASE_URL!.replace(/\/$/, '');
const key = process.env.WEBOT_API_KEY!;
const input = JSON.parse(readFileSync('input.json', 'utf8'));
const nonce = process.env.WEBOT_JOB_NONCE || randomUUID(); // Persist before submission.
async function post(path: string, body: unknown, nonce?: string) {
const response = await fetch(base + path, {method:'POST', headers:{
Authorization:`Bearer ${key}`, 'Content-Type':'application/json',
...(nonce ? {'Idempotency-Key':nonce} : {})}, body:JSON.stringify(body)});
const json = await response.json();
if (!response.ok) throw new Error(JSON.stringify(json));
return json;
}
const {quote} = await post('/api/v1/models/alibaba_wan_v2_2_5b_text_to_video_fast_wan/quote', {input});
const job = await post('/api/v1/models/alibaba_wan_v2_2_5b_text_to_video_fast_wan/requests', {input, quoted_credits:quote.credits_consumed}, nonce);
console.log(job); // Stable WEBOT request_id, events_url, result_url.
// Stream saved webhook state. Reconnect ONLY the event stream, not the generation.
while (!job.terminal || job.financial_pending) {
const stream = await fetch(job.events_url, {headers:{Authorization:`Bearer ${key}`}});
if (!stream.ok) throw new Error(`Event stream HTTP ${stream.status}`);
let buffer = '';
for await (const chunk of stream.body.pipeThrough(new TextDecoderStream())) {
buffer += chunk;
let end;
while ((end = buffer.indexOf('\n\n')) !== -1) {
const event = buffer.slice(0, end); buffer = buffer.slice(end + 2);
const data = event.split('\n').find(line => line.startsWith('data: '));
if (!data) continue;
const state = JSON.parse(data.slice(6));
if (state.error && !state.status) throw new Error(JSON.stringify(state.error));
if (state.terminal && !state.financial_pending) { console.log(state.output ?? state.error); process.exit(0); }
}
}
await new Promise(resolve => setTimeout(resolve, 1500));
}
console.log(job.output ?? job.error);# Python 3.9+, pip install requests
import json, os, time, uuid, requests
base = os.environ['WEBOT_BASE_URL'].rstrip('/')
headers = {'Authorization': 'Bearer ' + os.environ['WEBOT_API_KEY']}
with open('input.json', encoding='utf-8') as file:
input_data = json.load(file)
nonce = os.environ.get('WEBOT_JOB_NONCE') or str(uuid.uuid4()) # Persist before submitting.
def post(path, body, extra=None):
response = requests.post(base + path, headers={**headers, **(extra or {})}, json=body, timeout=180)
response.raise_for_status()
return response.json()
quote = post('/api/v1/models/alibaba_wan_v2_2_5b_text_to_video_fast_wan/quote', {'input': input_data})['quote']
job = post('/api/v1/models/alibaba_wan_v2_2_5b_text_to_video_fast_wan/requests', {'input': input_data, 'quoted_credits': quote['credits_consumed']}, {'Idempotency-Key': nonce})
state = job
while not state['terminal'] or state.get('financial_pending', False):
# Reconnect while nonterminal; this reads WEBOT's database, never a provider status API.
with requests.get(job['events_url'], headers=headers, stream=True, timeout=(10, 40)) as stream:
stream.raise_for_status()
for line in stream.iter_lines(decode_unicode=True):
if line and line.startswith('data: '):
state = json.loads(line[6:])
if 'status' not in state: raise RuntimeError(state)
if state['terminal'] and not state.get('financial_pending', False): break
if not state['terminal'] or state.get('financial_pending', False): time.sleep(1.5)
print(state['output'] if state['status'] == 'completed' else state['error'])<?php // PHP 8.1+ with cURL
$base = rtrim(getenv('WEBOT_BASE_URL'), '/');
$input = json_decode(file_get_contents('input.json'), false, 64, JSON_THROW_ON_ERROR);
$nonce = getenv('WEBOT_JOB_NONCE') ?: bin2hex(random_bytes(16)); // Persist this before submission.
function post(string $path, array $body, ?string $nonce = null): array {
global $base;
$headers = ['Authorization: Bearer '.getenv('WEBOT_API_KEY'), 'Content-Type: application/json'];
if ($nonce) $headers[] = 'Idempotency-Key: '.$nonce;
$ch = curl_init($base.$path);
curl_setopt_array($ch, [CURLOPT_RETURNTRANSFER=>true, CURLOPT_POST=>true,
CURLOPT_TIMEOUT=>180, CURLOPT_HTTPHEADER=>$headers,
CURLOPT_POSTFIELDS=>json_encode($body, JSON_THROW_ON_ERROR)]);
$raw = curl_exec($ch); $status = curl_getinfo($ch, CURLINFO_HTTP_CODE); curl_close($ch);
if ($raw === false || $status < 200 || $status >= 300) throw new RuntimeException('WEBOT HTTP '.$status);
return json_decode($raw, true, 64, JSON_THROW_ON_ERROR);
}
$quote = post('/api/v1/models/alibaba_wan_v2_2_5b_text_to_video_fast_wan/quote', ['input'=>$input])['quote'];
$job = post('/api/v1/models/alibaba_wan_v2_2_5b_text_to_video_fast_wan/requests', ['input'=>$input, 'quoted_credits'=>$quote['credits_consumed']], $nonce);
echo json_encode($job, JSON_PRETTY_PRINT); // Connect to events_url with the same Bearer header.// Go 1.20+; save as main.go.
package main
import ("bytes"; "encoding/json"; "fmt"; "io"; "net/http"; "os"; "strings"; "time"; "crypto/rand"; "encoding/hex")
func main() {
base := strings.TrimRight(os.Getenv("WEBOT_BASE_URL"), "/")
raw, err := os.ReadFile("input.json"); if err != nil { panic(err) }
nonce := os.Getenv("WEBOT_JOB_NONCE")
if nonce == "" { b := make([]byte,16); if _,err:=rand.Read(b);err!=nil {panic(err)}; nonce=hex.EncodeToString(b) }
// Persist nonce before the submission; reuse on ambiguous responses.
client := &http.Client{Timeout:180*time.Second}
post := func(path string, body any, id string) map[string]any {
data, err := json.Marshal(body); if err != nil {panic(err)}
req, err := http.NewRequest("POST",base+path,bytes.NewReader(data)); if err!=nil {panic(err)}
req.Header.Set("Authorization","Bearer "+os.Getenv("WEBOT_API_KEY")); req.Header.Set("Content-Type","application/json")
if id!="" {req.Header.Set("Idempotency-Key",id)}
res,err:=client.Do(req); if err!=nil {panic(err)}; defer res.Body.Close()
data,err=io.ReadAll(res.Body); if err!=nil {panic(err)}
if res.StatusCode<200||res.StatusCode>=300 {panic(string(data))}
var result map[string]any; if err=json.Unmarshal(data,&result);err!=nil {panic(err)}; return result
}
input:=json.RawMessage(raw)
quote:=post("/api/v1/models/alibaba_wan_v2_2_5b_text_to_video_fast_wan/quote",map[string]any{"input":input},"")["quote"].(map[string]any)
job:=post("/api/v1/models/alibaba_wan_v2_2_5b_text_to_video_fast_wan/requests",map[string]any{"input":input,"quoted_credits":quote["credits_consumed"]},nonce)
fmt.Println(job) // Stream events_url with the same Authorization header.
}// Java 11+, Jackson databind dependency; class Main in Main.java.
import java.net.URI;
import java.net.http.*;
import java.nio.file.*;
import java.time.Duration;
import java.util.UUID;
import com.fasterxml.jackson.databind.*;
import com.fasterxml.jackson.databind.node.ObjectNode;
public class Main {
static final ObjectMapper json = new ObjectMapper();
static final HttpClient client = HttpClient.newHttpClient();
static final String base = System.getenv("WEBOT_BASE_URL").replaceAll("/$", "");
static JsonNode post(String path, JsonNode body, String nonce) throws Exception {
var b = HttpRequest.newBuilder(URI.create(base+path)).timeout(Duration.ofSeconds(180))
.header("Authorization","Bearer "+System.getenv("WEBOT_API_KEY")).header("Content-Type","application/json")
.POST(HttpRequest.BodyPublishers.ofString(json.writeValueAsString(body)));
if(nonce!=null)b.header("Idempotency-Key",nonce);
var r=client.send(b.build(),HttpResponse.BodyHandlers.ofString());
if(r.statusCode()<200||r.statusCode()>=300)throw new IllegalStateException(r.body());
return json.readTree(r.body());
}
public static void main(String[] args) throws Exception {
var input=json.readTree(Files.readString(Path.of("input.json")));
ObjectNode body=json.createObjectNode();body.set("input",input);
var quote=post("/api/v1/models/alibaba_wan_v2_2_5b_text_to_video_fast_wan/quote",body,null).get("quote");
body.put("quoted_credits",quote.get("credits_consumed").asInt());
String nonce=System.getenv("WEBOT_JOB_NONCE");if(nonce==null)nonce=UUID.randomUUID().toString(); // Persist before POST.
var job=post("/api/v1/models/alibaba_wan_v2_2_5b_text_to_video_fast_wan/requests",body,nonce);System.out.println(job);
// Subscribe to job.events_url with Authorization; use BodyHandlers.ofLines().
}
}// .NET 8 console app, top-level statements.
using System.Net.Http;
using System.Text;
using System.Text.Json.Nodes;
var client = new HttpClient { Timeout = TimeSpan.FromSeconds(180) };
var root = Environment.GetEnvironmentVariable("WEBOT_BASE_URL")!.TrimEnd('/');
var key = Environment.GetEnvironmentVariable("WEBOT_API_KEY");
async Task<JsonNode> Post(string path, JsonNode body, string? nonce = null) {
using var req = new HttpRequestMessage(HttpMethod.Post, root + path);
req.Headers.Add("Authorization", "Bearer " + key);
if (nonce != null) req.Headers.Add("Idempotency-Key", nonce);
req.Content = new StringContent(body.ToJsonString(), Encoding.UTF8, "application/json");
using var res = await client.SendAsync(req);
var raw = await res.Content.ReadAsStringAsync();res.EnsureSuccessStatusCode();
return JsonNode.Parse(raw)!;
}
var input = JsonNode.Parse(await File.ReadAllTextAsync("input.json"));
var body = new JsonObject { ["input"] = input };
var quote = await Post("/api/v1/models/alibaba_wan_v2_2_5b_text_to_video_fast_wan/quote", body);
body["quoted_credits"] = quote["quote"]!["credits_consumed"]!.GetValue<int>();
var nonce = Environment.GetEnvironmentVariable("WEBOT_JOB_NONCE") ?? Guid.NewGuid().ToString(); // Persist before submitting.
var job = await Post("/api/v1/models/alibaba_wan_v2_2_5b_text_to_video_fast_wan/requests", body, nonce);
Console.WriteLine(job); // Subscribe to events_url with the same Bearer header and ResponseHeadersRead.# Ruby 3+, standard library only.
require 'net/http'
require 'json'
require 'securerandom'
base = ENV.fetch('WEBOT_BASE_URL').sub(%r{/$}, '')
post = lambda do |path, body, nonce = nil|
uri = URI(base + path)
req = Net::HTTP::Post.new(uri)
req['Authorization'] = 'Bearer ' + ENV.fetch('WEBOT_API_KEY')
req['Content-Type'] = 'application/json'
req['Idempotency-Key'] = nonce if nonce
req.body = JSON.generate(body)
res = Net::HTTP.start(uri.host, uri.port, use_ssl: true, read_timeout: 180) { |http| http.request(req) }
raise res.body unless res.is_a?(Net::HTTPSuccess)
JSON.parse(res.body)
end
input = JSON.parse(File.read('input.json'))
quote = post.call('/api/v1/models/alibaba_wan_v2_2_5b_text_to_video_fast_wan/quote', {'input' => input})['quote']
nonce = ENV['WEBOT_JOB_NONCE'] || SecureRandom.uuid # Persist this before submission.
job = post.call('/api/v1/models/alibaba_wan_v2_2_5b_text_to_video_fast_wan/requests', {'input' => input, 'quoted_credits' => quote['credits_consumed']}, nonce)
puts JSON.pretty_generate(job) # Subscribe to events_url with the same Authorization header.// Swift 5.9 server-side/CLI only. Do not embed customer keys in shipped apps.
import Foundation
#if canImport(FoundationNetworking)
import FoundationNetworking
#endif
@main struct Main {
static func main() async throws {
let env=ProcessInfo.processInfo.environment
let base=env["WEBOT_BASE_URL"]!.trimmingCharacters(in: CharacterSet(charactersIn:"/"))
let input=try JSONSerialization.jsonObject(with: Data(contentsOf:URL(fileURLWithPath:"input.json")))
func post(_ path:String,_ body:[String:Any],_ nonce:String?=nil) async throws -> [String:Any] {
var req=URLRequest(url:URL(string:base+path)!);req.httpMethod="POST";req.timeoutInterval=180
req.setValue("Bearer "+env["WEBOT_API_KEY"]!,forHTTPHeaderField:"Authorization")
req.setValue("application/json",forHTTPHeaderField:"Content-Type")
if let nonce {req.setValue(nonce,forHTTPHeaderField:"Idempotency-Key")}
req.httpBody=try JSONSerialization.data(withJSONObject:body)
let (data,res)=try await URLSession.shared.data(for:req)
guard let http=res as? HTTPURLResponse,(200..<300).contains(http.statusCode) else {throw NSError(domain:"WEBOT",code:1)}
return try JSONSerialization.jsonObject(with:data) as! [String:Any]
}
let quote=try await post("/api/v1/models/alibaba_wan_v2_2_5b_text_to_video_fast_wan/quote",["input":input])["quote"] as! [String:Any]
let nonce=env["WEBOT_JOB_NONCE"] ?? UUID().uuidString // Persist before submission.
let job=try await post("/api/v1/models/alibaba_wan_v2_2_5b_text_to_video_fast_wan/requests",["input":input,"quoted_credits":quote["credits_consumed"]!],nonce)
print(job) // Subscribe to events_url with the same Authorization header.
}
}// Server-side Kotlin/JVM 17+, Gradle dependencies: OkHttp 4.12, org.json 20240303.
import okhttp3.*
import okhttp3.MediaType.Companion.toMediaType
import okhttp3.RequestBody.Companion.toRequestBody
import org.json.JSONObject
import java.io.File
import java.util.UUID
import java.util.concurrent.TimeUnit
fun main() {
val base=System.getenv("WEBOT_BASE_URL").trimEnd('/')
val client=OkHttpClient.Builder().readTimeout(180,TimeUnit.SECONDS).build()
fun post(path:String,body:JSONObject,nonce:String?=null):JSONObject {
val b=Request.Builder().url(base+path).header("Authorization","Bearer "+System.getenv("WEBOT_API_KEY"))
.post(body.toString().toRequestBody("application/json".toMediaType()))
if(nonce!=null)b.header("Idempotency-Key",nonce)
return client.newCall(b.build()).execute().use {res ->
val raw=res.body!!.string();check(res.isSuccessful){raw};JSONObject(raw)
}
}
val body=JSONObject().put("input",JSONObject(File("input.json").readText()))
val quote=post("/api/v1/models/alibaba_wan_v2_2_5b_text_to_video_fast_wan/quote",body).getJSONObject("quote")
body.put("quoted_credits",quote.getInt("credits_consumed"))
val nonce=System.getenv("WEBOT_JOB_NONCE") ?: UUID.randomUUID().toString() // Persist before submission.
val job=post("/api/v1/models/alibaba_wan_v2_2_5b_text_to_video_fast_wan/requests",body,nonce)
println(job) // Subscribe to events_url with the same Authorization header.
}5. Receive all results
The response includes a stable WEBOT request_id, events_url and result_url. Subscribe with a Bearer-authenticated HTTP stream. Nonterminal streams end after 25 seconds; reconnect to the same URL after at least 1.5 seconds. Current saved state is replayed immediately, including completion that happened while disconnected. A terminal event contains the result envelope. The JSON terminal flag describes generation completion. Keep reconnecting while financial_pending is true; stop after the terminal event confirms financial settlement. Never poll provider status/results. Native browser EventSource cannot send a Bearer header; keep the key on your server.
Completed output contains the full model result, including every generated media/document item, not just the first URL. Failed output is null with error and refund_state. Results are strictly limited to the key owner, including on reseller domains. Model-independent aliases: /api/v1/requests/{request_id}/result and /events. Revoking a key blocks subsequent reads and streams; saved results remain accessible with another valid key of the same account.
6. Schemas and parameter defaults
Required fields are marked with *. Required text must contain non-whitespace content. Defaults apply when an optional parameter is omitted; null, false, 0 and an empty array are distinct values. “No documented default” means WEBOT does not invent one. Examples are sample inputs, not defaults. WEBOT generation constraints can require an explicit value even when the provider publishes an automatic default.
Input schema · fields, constraints and defaults
| Parameter | Type | Required | Default when omitted | Description / constraints |
|---|---|---|---|---|
interpolator_model | string | No | "film" | The model to use for frame interpolation. If None, no interpolation is applied. enum: ["none","film","rife"] |
adjust_fps_for_interpolation | boolean | No | true | If true, the number of frames per second will be multiplied by the number of interpolated frames plus one. For example, if the generated frames per second is 16 and the number of interpolated frames is 1, the final frames per second will be 32. If false, the passed frames per second will be used as-is. |
seed | integer | null | No | No documented default | Random seed for reproducibility. If None, a random seed is chosen. |
aspect_ratio | string | No | "16:9" | Aspect ratio of the generated video (16:9 or 9:16). enum: ["16:9","9:16","1:1"] |
num_frames | integer | No | 81 | Number of frames to generate. Must be between 17 to 161 (inclusive). minimum: 17 · maximum: 161 |
frames_per_second | integer | null | No | 24 | Frames per second of the generated video. Must be between 4 to 60. When using interpolation and `adjust_fps_for_interpolation` is set to true (default true,) the final FPS will be multiplied by the number of interpolated frames plus one. For example, if the generated frames per second is 16 and the number of interpolated frames is 1, the final frames per second will be 32. If `adjust_fps_for_interpolation` is set to false, this value will be used as-is. |
prompt | string | Yes * | No documented default | The text prompt to guide video generation. |
num_interpolated_frames | integer | No | 0 | Number of frames to interpolate between each pair of generated frames. Must be between 0 and 4. minimum: 0 · maximum: 4 |
enable_safety_checker | boolean | No | false | If set to true, input data will be checked for safety before processing. Disabling it requires account authorization; unauthorized requests are always checked. |
video_write_mode | string | No | "balanced" | The write mode of the output video. Faster write mode means faster results but larger file size, balanced write mode is a good compromise between speed and quality, and small write mode is the slowest but produces the smallest file size. enum: ["fast","balanced","small"] |
video_quality | string | No | "high" | The quality of the output video. Higher quality means better visual quality but larger file size. enum: ["low","medium","high","maximum"] |
resolution | string | No | "720p" | Resolution of the generated video (580p or 720p). enum: ["480p","580p","720p"] |
enable_output_safety_checker | boolean | No | false | If set to true, output video will be checked for safety after generation. |
guidance_scale | number | No | 3.5 | Classifier-free guidance scale. Higher values give better adherence to the prompt but may decrease quality. minimum: 1 · maximum: 10 |
negative_prompt | string | No | "" | Negative prompt for video generation. |
enable_prompt_expansion | boolean | No | false | Whether to enable prompt expansion. This will use a large language model to expand the prompt with additional details while maintaining the original meaning. |
{
"required": [
"prompt"
],
"properties": {
"interpolator_model": {
"examples": [
"film"
],
"enum": [
"none",
"film",
"rife"
],
"default": "film",
"title": "Interpolator Model",
"type": "string",
"description": "The model to use for frame interpolation. If None, no interpolation is applied."
},
"adjust_fps_for_interpolation": {
"examples": [
true
],
"default": true,
"title": "Adjust FPS for Interpolation",
"type": "boolean",
"description": "If true, the number of frames per second will be multiplied by the number of interpolated frames plus one. For example, if the generated frames per second is 16 and the number of interpolated frames is 1, the final frames per second will be 32. If false, the passed frames per second will be used as-is."
},
"seed": {
"title": "Seed",
"description": "Random seed for reproducibility. If None, a random seed is chosen.",
"anyOf": [
{
"type": "integer"
},
{
"type": "null"
}
]
},
"aspect_ratio": {
"examples": [
"16:9",
"9:16",
"1:1"
],
"enum": [
"16:9",
"9:16",
"1:1"
],
"default": "16:9",
"title": "Aspect Ratio",
"type": "string",
"description": "Aspect ratio of the generated video (16:9 or 9:16)."
},
"num_frames": {
"examples": [
81
],
"description": "Number of frames to generate. Must be between 17 to 161 (inclusive).",
"maximum": 161,
"default": 81,
"type": "integer",
"title": "Number of Frames",
"minimum": 17
},
"frames_per_second": {
"examples": [
24
],
"default": 24,
"title": "Frames per Second",
"description": "Frames per second of the generated video. Must be between 4 to 60. When using interpolation and `adjust_fps_for_interpolation` is set to true (default true,) the final FPS will be multiplied by the number of interpolated frames plus one. For example, if the generated frames per second is 16 and the number of interpolated frames is 1, the final frames per second will be 32. If `adjust_fps_for_interpolation` is set to false, this value will be used as-is.",
"anyOf": [
{
"maximum": 60,
"type": "integer",
"minimum": 4
},
{
"type": "null"
}
]
},
"prompt": {
"examples": [
"A medium shot establishes a modern, minimalist office setting: clean lines, muted grey walls, and polished wood surfaces. The focus shifts to a close-up on a woman in sharp, navy blue business attire. Her crisp white blouse contrasts with the deep blue of her tailored suit jacket. The subtle texture of the fabric is visible\u2014a fine weave with a slight sheen. Her expression is serious, yet engaging, as she speaks to someone unseen just beyond the frame. Close-up on her eyes, showing the intensity of her gaze and the fine lines around them that hint at experience and focus. Her lips are slightly parted, as if mid-sentence. The light catches the subtle highlights in her auburn hair, meticulously styled. Note the slight catch of light on the silver band of her watch. High resolution 4k"
],
"title": "Prompt",
"type": "string",
"description": "The text prompt to guide video generation."
},
"num_interpolated_frames": {
"examples": [
0
],
"title": "Number of Interpolated Frames",
"maximum": 4,
"default": 0,
"description": "Number of frames to interpolate between each pair of generated frames. Must be between 0 and 4.",
"type": "integer",
"minimum": 0
},
"enable_safety_checker": {
"examples": [
true
],
"default": false,
"title": "Enable Safety Checker",
"type": "boolean",
"description": "If set to true, input data will be checked for safety before processing. Disabling it requires account authorization; unauthorized requests are always checked."
},
"video_write_mode": {
"examples": [
"balanced"
],
"enum": [
"fast",
"balanced",
"small"
],
"default": "balanced",
"title": "Video Write Mode",
"type": "string",
"description": "The write mode of the output video. Faster write mode means faster results but larger file size, balanced write mode is a good compromise between speed and quality, and small write mode is the slowest but produces the smallest file size."
},
"video_quality": {
"examples": [
"high"
],
"enum": [
"low",
"medium",
"high",
"maximum"
],
"default": "high",
"title": "Video Quality",
"type": "string",
"description": "The quality of the output video. Higher quality means better visual quality but larger file size."
},
"resolution": {
"examples": [
"720p"
],
"enum": [
"480p",
"580p",
"720p"
],
"default": "720p",
"title": "Resolution",
"type": "string",
"description": "Resolution of the generated video (580p or 720p)."
},
"enable_output_safety_checker": {
"examples": [
false
],
"default": false,
"title": "Enable Output Safety Checker",
"type": "boolean",
"description": "If set to true, output video will be checked for safety after generation."
},
"guidance_scale": {
"examples": [
3.5
],
"title": "Guidance Scale",
"maximum": 10,
"default": 3.5,
"description": "Classifier-free guidance scale. Higher values give better adherence to the prompt but may decrease quality.",
"type": "number",
"minimum": 1
},
"negative_prompt": {
"default": "",
"title": "Negative Prompt",
"type": "string",
"description": "Negative prompt for video generation."
},
"enable_prompt_expansion": {
"examples": [
false
],
"default": false,
"title": "Enable Prompt Expansion",
"type": "boolean",
"description": "Whether to enable prompt expansion. This will use a large language model to expand the prompt with additional details while maintaining the original meaning."
}
},
"x-webot-order-properties": [
"prompt",
"negative_prompt",
"num_frames",
"frames_per_second",
"seed",
"resolution",
"aspect_ratio",
"enable_safety_checker",
"enable_output_safety_checker",
"enable_prompt_expansion",
"guidance_scale",
"interpolator_model",
"num_interpolated_frames",
"adjust_fps_for_interpolation",
"video_quality",
"video_write_mode"
],
"type": "object",
"title": "WanSmallFastVideoT2VRequest"
}Output (inside result.output) schema · fields, constraints and defaults
| Parameter | Type | Required | Default when omitted | Description / constraints |
|---|---|---|---|---|
video | object | Yes * | No documented default | The generated video file. |
video.url | string | Yes * | No documented default | The URL where the file can be downloaded from. |
video.file_name | string | null | No | No documented default | The name of the file. It will be auto-generated if not provided. |
video.file_size | integer | null | No | No documented default | The size of the file in bytes. |
video.content_type | string | null | No | No documented default | The mime type of the file. |
prompt | string | No | "" | The text prompt used for video generation. |
seed | integer | Yes * | No documented default | The seed used for generation. |
{
"required": [
"video",
"seed"
],
"properties": {
"video": {
"required": [
"url"
],
"properties": {
"url": {
"title": "Url",
"type": "string",
"description": "The URL where the file can be downloaded from."
},
"file_name": {
"examples": [
"z9RV14K95DvU.png"
],
"title": "File Name",
"description": "The name of the file. It will be auto-generated if not provided.",
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
]
},
"file_size": {
"examples": [
4404019
],
"title": "File Size",
"description": "The size of the file in bytes.",
"anyOf": [
{
"type": "integer"
},
{
"type": "null"
}
]
},
"content_type": {
"examples": [
"image/png"
],
"title": "Content Type",
"description": "The mime type of the file.",
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
]
}
},
"x-webot-order-properties": [
"url",
"content_type",
"file_name",
"file_size"
],
"type": "object",
"title": "File",
"examples": [
{
"url": "https://storage.googleapis.com/falserverless/model_tests/wan/v2.2-small-output.mp4"
}
],
"description": "The generated video file."
},
"prompt": {
"examples": [
"A medium shot establishes a modern, minimalist office setting: clean lines, muted grey walls, and polished wood surfaces. The focus shifts to a close-up on a woman in sharp, navy blue business attire. Her crisp white blouse contrasts with the deep blue of her tailored suit jacket. The subtle texture of the fabric is visible\u2014a fine weave with a slight sheen. Her expression is serious, yet engaging, as she speaks to someone unseen just beyond the frame. Close-up on her eyes, showing the intensity of her gaze and the fine lines around them that hint at experience and focus. Her lips are slightly parted, as if mid-sentence. The light catches the subtle highlights in her auburn hair, meticulously styled. Note the slight catch of light on the silver band of her watch. High resolution 4k"
],
"default": "",
"title": "Prompt",
"type": "string",
"description": "The text prompt used for video generation."
},
"seed": {
"title": "Seed",
"type": "integer",
"description": "The seed used for generation."
}
},
"x-webot-order-properties": [
"video",
"prompt",
"seed"
],
"type": "object",
"title": "WanSmallFastVideoT2VResponse"
}Errors and limits
401 invalid/expired/revoked key · 403 key scope or domain mismatch · 404 unavailable model or unowned request · 409 quote changed, balance, concurrency or idempotency conflict · 413 JSON exceeds 2 MB · 415 wrong content type · 422 invalid fields/media · 429 rate limit · 503 temporary/ambiguous submission. Respect Retry-After. Current limits per account: 12 quotes/submissions, 120 result reads and 8 stream connections per minute. One submission preparation at a time per account. Do not automatically regenerate failed jobs.
Your requests
Alibaba Wan 2.2 - Text to Video (FastWan 5B) · Your account only
Select Requests to load your history.
| Request ID | Created at (IST) | Status | Credits used | Refunded | Processing time | Report |
|---|
Your model analytics
Alibaba Wan 2.2 - Text to Video (FastWan 5B) · Request dates in IST
Select Analytics to load your metrics.
Request counts
Daily requests by their current status
Request outcomes
Completed, failed and pending requests
Credits used
Daily recorded charges before refunds
Processing time
Daily average for completed requests with recorded timing
Processing percentiles
Completed requests only · Time from submission to recorded completion
How to use Alibaba Wan 2.2 — Text to Video (FastWan 5B)
Write what you want to see, and this model turns your description into a video. Your prompt describes the subject, action, surroundings and camera view.
Required inputs
- Prompt: Your instructions to the model. Say what you want, include the important details and avoid contradictory directions. For a video, describe the action as well as the scene.
Workflow
- Prepare your source material and fill the required inputs above. Review the supported settings for this model.
- Sign in to calculate the credit estimate. Review the estimate before choosing Generate.
- Keep this model page open while the request runs. Completed results arrive in the result area; use the available player or download controls to review the output.
When to use this workflow
- Visualise a scene or story idea.
- Create a short visual for a presentation or social post.
Key settings
- Prompt
- Your instructions to the model. Say what you want, include the important details and avoid contradictory directions. For a video, describe the action as well as the scene.
- Negative Prompt
- Describe things you would prefer the model to avoid, such as unwanted blur or objects. This guides the result but is not a guarantee that those things will never appear.
- Number of Frames
- The total number of still pictures used to form the clip. This is different from FPS. When playback FPS stays fixed, more frames make a longer clip. For example, 120 frames at 24 FPS last 5 seconds. Some models accept only particular frame counts. Minimum: 17. Maximum: 161
- Frames per Second
- Frames per second: how many still pictures are played in one second of video. A frame is one of those pictures. 24 FPS means 24 pictures each second. More FPS can look smoother if the model supports it. With a fixed frame count, higher FPS makes the clip shorter: 120 frames at 24 FPS is 5 seconds, at 30 FPS it is 4 seconds.
- Seed
- A starting number for the model’s randomness. Keeping the same seed and other settings can help compare variations, but identical results are not guaranteed across every model or update. Random or an omitted seed gives the tool more freedom to vary the result.
- Resolution
- The amount of detail in the output’s size. For ordinary video, 1080p has more pixels than 720p. Larger sizes can need more processing and larger files; the credit effect depends on this model. A larger output cannot guarantee better source detail. For a 3D or internal grid setting, follow the model’s specific description below. Supported choices: "480p", "580p", "720p"