daVinci MagiHuman Image-to-Video API — a 15B parameter omni video generation model, the new open-source king on par with WAN 2.5. Generates high-quality AI videos from reference images with optional audio input. Supports digital humans, talking heads, and general video generation. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.
Idle
$0.1per run·~10 / $1
A man sits at a modern, minimalist podcast studio desk, calmly recording a show. He gestures gently with his right hand while speaking, saying, “Welcome to my show — truly, thank you so much for joining me on WaveSpeed.” The camera captures a medium shot from eye level, focusing on his face and upper body, with a shallow depth of field blurring the background slightly. Natural, warm tones and cinematic lighting style.
DaVinci MagiHuman Image-to-Video animates a reference image into a cinematic, human-centered video clip. Upload a photo, describe the motion and scene, and optionally provide an audio track to synchronize — the model generates natural human movement, expressive storytelling, and a cinematic atmosphere across multiple resolution and duration options.
Image-grounded generation Start from a reference photo for precise visual control over character appearance, environment, and composition.
Human-focused motion Optimized for realistic human motion, expressions, and interactions — ideal for portrait-style and character-driven video content.
Audio input support Upload an audio track to guide the rhythm, mood, and pacing of the generated video for synchronized results.
Multiple resolution tiers Generate at 256p, 720p, or 1080p to match your delivery requirements and budget.
Flexible aspect ratio Supports 16:9 landscape and 9:16 portrait orientations for both cinematic and social media formats.
Adjustable duration Generate clips from 5 to 10 seconds with per-second granularity.
Reproducible results Use the seed parameter to lock in a specific output for exact reproduction.
| Parameter | Required | Description |
|---|---|---|
| image | Yes | Reference image to animate (URL or file upload). |
| prompt | Yes | Text description of the motion, camera style, and scene atmosphere. |
| audio | No | Optional audio track to synchronize with the generated video. |
| aspect_ratio | No | Output aspect ratio: 16:9 (default) or 9:16. |
| resolution | No | Output resolution: 256p, 720p (default), or 1080p. |
| duration | No | Clip length in seconds. Options: 5, 6, 7, 8, 9, 10. Default: 5. |
| seed | No | Random seed for reproducible results. Use -1 for a random seed. |
| Duration | 256p | 720p | 1080p |
|---|---|---|---|
| 5s | $0.10 | $0.15 | $0.20 |
| 6s | $0.12 | $0.18 | $0.24 |
| 7s | $0.14 | $0.21 | $0.28 |
| 8s | $0.16 | $0.24 | $0.32 |
| 9s | $0.18 | $0.27 | $0.36 |
| 10s | $0.20 | $0.30 | $0.40 |
Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/wavespeed-ai/davinci-magihuman/image-to-video with your input as JSON. The endpoint returns a prediction id; poll the prediction endpoint until status flips to completed, then read the output URL from data.outputs[0]. Examples for Davinci Magihuman Image To Video below.
# Submit the prediction
curl -X POST "https://api.wavespeed.ai/api/v3/wavespeed-ai/davinci-magihuman/image-to-video" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer $WAVESPEED_API_KEY" \
-d '{
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"image": "https://example.com/your-input.jpg",
"audio": "https://example.com/your-audio.mp3",
"aspect_ratio": "16:9",
"resolution": "720p",
"duration": 5,
"seed": -1
}'
# Response includes a prediction id. Poll for the result:
curl -X GET "https://api.wavespeed.ai/api/v3/predictions/{request_id}/result" \
-H "Authorization: Bearer $WAVESPEED_API_KEY"
# When status is "completed", read the output from data.outputs[0].// npm install wavespeed
const WaveSpeed = require('wavespeed');
const client = new WaveSpeed(); // reads WAVESPEED_API_KEY from env
const result = await client.run("wavespeed-ai/davinci-magihuman/image-to-video", {
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"image": "https://example.com/your-input.jpg",
"audio": "https://example.com/your-audio.mp3",
"aspect_ratio": "16:9",
"resolution": "720p",
"duration": 5,
"seed": -1
});
console.log(result.outputs[0]); // → URL of the generated output# pip install wavespeed
import wavespeed
output = wavespeed.run(
"wavespeed-ai/davinci-magihuman/image-to-video",
{
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"image": "https://example.com/your-input.jpg",
"audio": "https://example.com/your-audio.mp3",
"aspect_ratio": "16:9",
"resolution": "720p",
"duration": 5,
"seed": -1
}
)
print(output["outputs"][0]) # → URL of the generated outputDavinci Magihuman Image To Video is a WaveSpeedAI model for video generation from images, exposed as a REST API on WaveSpeedAI. daVinci MagiHuman Image-to-Video API — a 15B parameter omni video generation model, the new open-source king on par with WAN 2.5. Generates high-quality AI videos from reference images with optional audio input. Supports digital humans, talking heads, and general video generation. Ready-to-use REST inference API, best performance, no coldstarts, 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 prediction endpoint until status flips to "completed", then read the output URL from the result. The playground generates a ready-to-paste code sample in Python, JavaScript, or cURL for whatever inputs you've set. Full request/response shape is documented at https://wavespeed.ai/docs/docs-api/wavespeed-ai/davinci-magihuman-image-to-video.
Davinci Magihuman 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`, `image`, `audio`, `aspect_ratio`, `resolution`, `duration`. 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/wavespeed-ai/davinci-magihuman-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 (WaveSpeedAI). The license summary appears on the model card above; see WaveSpeedAI's Terms of Service for platform-level conditions.