SkyReels V4 Image to Video is a fast AI image-to-video generation model that creates high-quality videos from image references and text prompts using the SkyReels V4 image2video workflow. Ready-to-use REST inference API for animating images, product videos, character motion, branded storytelling, social media clips, advertising creatives, and professional image-to-video workflows with simple integration, no coldstarts, and affordable pricing.
Idle
$0.1per run·~10 / $1
Use the input image as the first frame. Preserve the same puppet maker, workshop, hanging puppets, desk lamp, wooden table, lighting, and composition. The hanging puppets sway almost imperceptibly, dust floats in the warm lamp light, and the puppet maker slowly carves the wooden face. One puppet's head turns slightly in the background. The camera slowly pushes in across the workbench. Subtle magical realism, realistic motion, stable character, no cartoon style, no text.
Skywork AI SkyReels V4 Image-to-Video generates videos from a starting image, with optional middle-frame and end-frame guidance for stronger visual control. It supports standard and fast generation modes, multiple resolutions, optional sound effects, and prompt-driven motion design for cinematic, product, and storytelling workflows.
Image-guided video generation Start from a first-frame image and turn it into a motion video clip with prompt-based control.
Multi-frame guidance Optionally add middle-frame images and an end-frame image to better control progression, structure, and visual consistency.
Two generation modes
Choose std for higher-quality output or fast for quicker, lower-cost generation.
Multiple resolution options
Supports 480p, 720p, and 1080p to balance quality and budget.
Optional sound effects
Enable sound when you want the video generated with audio effects.
Production-ready workflow Suitable for product videos, stylized motion design, short-form storytelling, and visual prototyping.
| Parameter | Required | Description |
|---|---|---|
| prompt | Yes | The prompt describing the video motion or camera behavior. |
| first_frame_image | Yes | First frame image URL. |
| end_frame_image | No | Optional end frame image URL. |
| images | No | Optional middle frame image URLs. Upload up to 6 images. |
| duration | No | Duration of the generated video in seconds. Range: 3–15. Default: 5. |
| 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.480p, 720p, or 1080p depending on quality and budget needs.std for higher quality or fast for quicker generation.fast, keep sound=false.A cinematic product reveal with smooth forward camera motion, soft reflections, elegant studio lighting, subtle object rotation, and premium commercial pacing.
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 | $4.125 |
durationstd and fast use different resolution multiplierssound does not affect pricing directlyfast mode currently requires sound=falsefast mode.fast mode for quick iteration, then switch to std for final-quality output.sound=false when using fast mode.prompt and first_frame_image are required.images supports up to 6 optional middle-frame images.duration supports 3–15 seconds.resolution defaults to 1080p.mode defaults to std.fast mode currently requires sound=false.duration, resolution, and mode.Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/skywork-ai/skyreels-v4/image-to-video with your input as JSON. The endpoint returns a prediction id. Start polling the result endpoint around every 2 seconds, increase the interval for long-running tasks, and stop on any terminal status. On completed, read output values from data.outputs. Examples for Skyreels v4 Image To Video below.
set -euo pipefail
: "${WAVESPEED_API_KEY:?Set WAVESPEED_API_KEY}"
REQUEST_BODY=$(cat <<'JSON'
{
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"first_frame_image": "https://interactive-examples.mdn.mozilla.net/media/cc0-images/painted-hand-298-332.jpg",
"duration": 5,
"resolution": "1080p",
"sound": false,
"mode": "std"
}
JSON
)
# 1. Submit the prediction.
SUBMIT_RESPONSE=$(curl --silent --show-error --fail-with-body \
-X POST "https://api.wavespeed.ai/api/v3/skywork-ai/skyreels-v4/image-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/image-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 ${apiKey}`,
"Content-Type": "application/json",
},
body: JSON.stringify({
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"first_frame_image": "https://interactive-examples.mdn.mozilla.net/media/cc0-images/painted-hand-298-332.jpg",
"duration": 5,
"resolution": "1080p",
"sound": false,
"mode": "std"
}),
});
const task = body.data ?? body;
if (!task.id) throw new Error("Submission response did not contain a prediction id");
const resultUrl = task.urls?.get ||
`https://api.wavespeed.ai/api/v3/predictions/${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",
"first_frame_image": "https://interactive-examples.mdn.mozilla.net/media/cc0-images/painted-hand-298-332.jpg",
"duration": 5,
"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/image-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 Image To Video is a Skywork Ai model for video generation from images, exposed as a REST API on WaveSpeedAI. SkyReels V4 Image to Video is a fast AI image-to-video generation model that creates high-quality videos from image references and text prompts using the SkyReels V4 image2video workflow. Ready-to-use REST inference API for animating images, product videos, character motion, branded storytelling, social media clips, advertising creatives, and professional image-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-image-to-video.
Skyreels v4 Image 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`, `images`, `resolution`, `duration`, `end_frame_image`, `first_frame_image`. 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-image-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.