SkyReels V4 Text to Video is a fast AI video generation model that creates high-quality videos from text prompts using the SkyReels V4 text2video workflow. Ready-to-use REST inference API for cinematic clips, storytelling videos, social media content, advertising creatives, product visuals, concept videos, and professional text-to-video workflows with simple integration, no coldstarts, and affordable pricing.
Idle
$0.1per run·~10 / $1
A cinematic emotional video at an empty wedding venue after the ceremony. A wedding photographer reviews photos on the camera screen while standing alone among white flowers and folded chairs. He notices someone unexpected in the background of one photo and slowly looks up toward the empty hall. The camera pushes in over his shoulder. Bittersweet mystery, realistic lighting, natural expression, elegant event atmosphere, no readable text.
Skywork AI SkyReels V4 Text-to-Video generates videos from natural-language prompts with flexible duration, aspect ratio, resolution, optional sound effects, and selectable quality modes. It is designed for cinematic short-form generation, social video, concept visualization, and rapid creative iteration across both standard-quality and faster-generation workflows.
Prompt-based video generation Turn natural-language scene descriptions into short video clips with controllable duration and format.
Two generation modes
Choose std for higher-quality output or fast for quicker, lower-cost generation.
Multiple resolutions
Supports 480p, 720p, and 1080p to balance quality and budget.
Flexible aspect ratios
Choose 16:9, 9:16, or 1:1 for widescreen, vertical, or square delivery.
Optional sound effects
Enable sound when you want the video generated with audio effects.
Production-ready API Suitable for short-form content, ad concepts, storytelling, social media clips, and rapid prototyping.
| Parameter | Required | Description |
|---|---|---|
| prompt | Yes | The prompt describing the video to generate. |
| duration | No | Duration of the generated video in seconds. Range: 3–15. Default: 5. |
| aspect_ratio | No | Aspect ratio of the generated video. Supported values: 16:9, 9:16, 1:1. Default: 16:9. |
| resolution | No | Output video resolution. Supported values: 480p, 720p, 1080p. Default: 1080p. |
| sound | No | Whether to generate sound effects with the video. Default: false. |
| mode | No | Quality/performance mode. Supported values: std, fast. Default: std. fast mode currently requires sound=false. |
3 and 15 seconds.16:9, 9:16, or 1:1 based on your target platform.480p, 720p, or 1080p depending on quality and cost needs.std for higher quality or fast for quicker generation.fast, keep sound=false.A cinematic tracking shot through a neon-lit city street at night, light rain on the pavement, reflections shimmering, subtle crowd movement, dramatic atmosphere, realistic camera motion
Pricing depends on duration, resolution, and mode.
| Resolution | Per Second | 5s Cost |
|---|---|---|
| 480p | $0.11 | $0.55 |
| 720p | $0.14 | $0.70 |
| 1080p | $0.35 | $1.75 |
| Resolution | Per Second | 5s Cost |
|---|---|---|
| 480p | $0.08 | $0.40 |
| 720p | $0.11 | $0.55 |
| 1080p | $0.275 | $1.375 |
| Resolution | 3s | 5s | 10s | 15s |
|---|---|---|---|---|
| 480p | $0.33 | $0.55 | $1.10 | $1.65 |
| 720p | $0.42 | $0.70 | $1.40 | $2.10 |
| 1080p | $1.05 | $1.75 | $3.50 | $5.25 |
| Resolution | 3s | 5s | 10s | 15s |
|---|---|---|---|---|
| 480p | $0.24 | $0.40 | $0.80 | $1.20 |
| 720p | $0.33 | $0.55 | $1.10 | $1.65 |
| 1080p | $0.825 | $1.375 | $2.75 | $4.125 |
durationstd and fast use different resolution multiplierssound does not affect pricing directlyfast mode currently requires sound=falsefast mode.std mode for more polished short-form storytelling.fast mode for quick iteration, then switch to std for higher-quality final output.480p or 720p when testing prompt ideas before committing to 1080p.sound=false when using fast mode.prompt is required.duration supports 3–15 seconds.aspect_ratio defaults to 16:9.resolution defaults to 1080p.mode defaults to std.fast mode currently requires sound=false.duration, resolution, and mode.Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/skywork-ai/skyreels-v4/text-to-video with your input as JSON. The endpoint returns a prediction id. Start polling the result endpoint around every 2 seconds, increase the interval for long-running tasks, and stop on any terminal status. On completed, read output values from data.outputs. Examples for Skyreels v4 Text To Video below.
set -euo pipefail
: "${WAVESPEED_API_KEY:?Set WAVESPEED_API_KEY}"
REQUEST_BODY=$(cat <<'JSON'
{
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"duration": 5,
"aspect_ratio": "16:9",
"resolution": "1080p",
"sound": false,
"mode": "std"
}
JSON
)
# 1. Submit the prediction.
SUBMIT_RESPONSE=$(curl --silent --show-error --fail-with-body \
-X POST "https://api.wavespeed.ai/api/v3/skywork-ai/skyreels-v4/text-to-video" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer $WAVESPEED_API_KEY" \
-d "$REQUEST_BODY")
TASK=$(printf '%s' "$SUBMIT_RESPONSE" | jq 'if has("data") then .data else . end')
PREDICTION_ID=$(printf '%s' "$TASK" | jq -r '.id')
if [ -z "$PREDICTION_ID" ] || [ "$PREDICTION_ID" = "null" ]; then
printf 'Submission response did not contain a prediction id
' >&2
exit 1
fi
RESULT_URL=$(printf '%s' "$TASK" | jq -r '.urls.get // empty')
if [ -z "$RESULT_URL" ]; then
RESULT_URL="https://api.wavespeed.ai/api/v3/predictions/$PREDICTION_ID/result"
fi
# 2. Poll until the prediction finishes.
while true; do
RESPONSE=$(curl --silent --show-error --fail-with-body "$RESULT_URL" \
-H "Authorization: Bearer $WAVESPEED_API_KEY")
RESULT=$(printf '%s' "$RESPONSE" | jq 'if has("data") then .data else . end')
STATUS=$(printf '%s' "$RESULT" | jq -r '.status')
case "$STATUS" in
completed) printf '%s\n' "$RESULT" | jq '.outputs'; break ;;
failed|cancelled|timeout) printf '%s\n' "$RESULT" | jq . >&2; exit 1 ;;
created|processing) sleep 2 ;;
*) printf 'Unexpected status: %s
' "$STATUS" >&2; exit 1 ;;
esac
doneconst submitUrl = "https://api.wavespeed.ai/api/v3/skywork-ai/skyreels-v4/text-to-video";
const apiKey = process.env.WAVESPEED_API_KEY;
if (!apiKey) throw new Error('Set WAVESPEED_API_KEY');
async function requestJson(url, options = {}) {
const response = await fetch(url, options);
if (!response.ok) throw new Error(await response.text());
return response.json();
}
// 1. Submit the prediction.
const body = await requestJson(submitUrl, {
method: "POST",
headers: {
"Authorization": `Bearer ${apiKey}`,
"Content-Type": "application/json",
},
body: JSON.stringify({
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"duration": 5,
"aspect_ratio": "16:9",
"resolution": "1080p",
"sound": false,
"mode": "std"
}),
});
const task = body.data ?? body;
if (!task.id) throw new Error("Submission response did not contain a prediction id");
const resultUrl = task.urls?.get ||
`https://api.wavespeed.ai/api/v3/predictions/${task.id}/result`;
// 2. Poll until the prediction finishes.
while (true) {
const resultBody = await requestJson(resultUrl, {
headers: { "Authorization": `Bearer ${apiKey}` },
});
const result = resultBody.data ?? resultBody;
if (result.status === "completed") {
console.log(result.outputs);
break;
}
if (["failed", "cancelled", "timeout"].includes(result.status)) throw new Error(JSON.stringify(result));
if (!["created", "processing"].includes(result.status)) throw new Error("Unexpected status: " + result.status);
await new Promise(resolve => setTimeout(resolve, 2000));
}import json
import os
import time
from urllib.request import Request, urlopen
api_key = os.environ["WAVESPEED_API_KEY"]
headers = {"Authorization": f"Bearer {api_key}", "Content-Type": "application/json"}
payload = {
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"duration": 5,
"aspect_ratio": "16:9",
"resolution": "1080p",
"sound": False,
"mode": "std"
}
def request_json(url, data=None):
request = Request(url, data=data, headers=headers, method="POST" if data else "GET")
with urlopen(request) as response:
return json.load(response)
# 1. Submit the prediction.
body = request_json("https://api.wavespeed.ai/api/v3/skywork-ai/skyreels-v4/text-to-video", json.dumps(payload).encode())
task = body.get("data", body)
if not task.get("id"):
raise RuntimeError("Submission response did not contain a prediction id")
result_url = task.get("urls", {}).get("get") or f"https://api.wavespeed.ai/api/v3/predictions/{task['id']}/result"
# 2. Poll until the prediction finishes.
while True:
result_body = request_json(result_url)
result = result_body.get("data", result_body)
status = result.get("status")
if status == "completed":
print(result.get("outputs", []))
break
if status in {"failed", "cancelled", "timeout"}:
raise RuntimeError(result)
if status not in {"created", "processing"}:
raise RuntimeError(f"Unexpected status: {status}")
time.sleep(2)Skyreels v4 Text To Video is a Skywork Ai model for video generation, exposed as a REST API on WaveSpeedAI. SkyReels V4 Text to Video is a fast AI video generation model that creates high-quality videos from text prompts using the SkyReels V4 text2video workflow. Ready-to-use REST inference API for cinematic clips, storytelling videos, social media content, advertising creatives, product visuals, concept videos, and professional text-to-video workflows with simple integration, no coldstarts, and affordable pricing. You can call it programmatically or try it from the playground above.
POST your input parameters to the model's REST endpoint (shown in the API tab of this playground) with your WaveSpeedAI API key in the Authorization header. Submission returns a prediction ID. Poll the result endpoint starting around every 2 seconds, increase the interval for long-running tasks, and stop on any terminal status. The playground generates production-oriented Python, JavaScript, and cURL examples with timeouts, transient-error handling, and safe GET retries. Full request/response shape is documented at https://wavespeed.ai/docs/docs-api/skywork-ai/skywork-ai-skyreels-v4-text-to-video.
Skyreels v4 Text To Video starts at $0.10 per run. That figure is the base price — the final charge scales with the parameters you set in the form (output size, length, count, references, or whatever knobs this model exposes), so a higher-quality or larger output costs more than a minimal one. The exact cost for your current input is shown live next to the Generate button before you submit, and the actual per-call charge is recorded on the prediction afterwards.
Key inputs: `prompt`, `aspect_ratio`, `resolution`, `duration`, `mode`, `sound`. The full JSON schema (types, defaults, allowed values) is rendered above the Generate button and mirrored in the API reference at https://wavespeed.ai/docs/docs-api/skywork-ai/skywork-ai-skyreels-v4-text-to-video.
Sign up for a free WaveSpeedAI account to claim starter credits, copy your API key from /accesskey, then call the endpoint shown in the API tab of the playground. The playground also auto-generates a code sample in Python, JavaScript, or cURL for the parameters you've set.
Commercial usage rights depend on the model's license, set by its provider (Skywork Ai). The license summary appears on the model card above; see WaveSpeedAI's Terms of Service for platform-level conditions.