Dop Image to Video | Fast Image-to-Video API

Higgsfield DoP — Image-to-Video Model

Higgsfield DoP (Director of Photography) transforms static images into cinematic 5-second motion clips, breathing life into still visuals through advanced AI motion synthesis. It is designed to replicate natural camera dynamics, subtle environmental movement, and realistic scene depth — making every frame feel alive.

🎬 Why it stands out

AI Motion Synthesis Applies physically consistent camera movement and environmental dynamics to still images, creating smooth and natural video motion.
Cinematic Look and Feel Simulates depth of field, lighting shifts, and parallax effects inspired by real-world cinematography.
High Visual Fidelity Maintains the original image’s resolution, color balance, and subject clarity while adding dynamic motion layers.
One-Click Storytelling Converts a single static image into an engaging 5-second video ready for social media, advertising, or creative production.
Versatile Creative Control Ideal for concept visualization, animated product showcases, fashion imagery, and digital storytelling.

⚙️ How to use

Input: First frame image and last frame image (JPEG / PNG / WEBP)
Output: 5-second MP4 video with smooth AI motion
Motion Types: 360 Orbit, 3D Rotation, Abstract, Action Run, Agent Reveal, Angel Wings, Arc Left, Arc Right...
Simple prompt: just describe your desired style, and the model will handle the rest beautifully.

⚡ Model Versions

Higgsfield DoP offers three model variants optimized for different creative and production needs:

dop-lite — Entry-level model offering basic speed and efficiency, ideal for quick concept previews or rough motion drafts.
dop-turbo — Mid-tier mode with 2× faster generation and priority queue access, suitable for smooth and detailed outputs in less time.
dop-preview — Premium mode ensuring highest video quality, enhanced lighting realism, and priority processing for professional-grade production.

💰 Pricing

Model	Duration	Description	USD
Lite	5s	Basic speed	$0.125
Turbo	5s	2× speed, priority queue	$0.406
Preview	5s	Higher quality, priority queue	$0.563

💡 Best Use Cases

Social Media Marketing — Turn static campaign visuals into scroll-stopping videos.
E-commerce & Product Ads — Add depth and subtle motion to product photography.
Creative Portfolios — Animate artwork and photography to showcase atmosphere and style.
Film & Design Previsualization — Prototype cinematic shots from reference stills.

📝 Notes

Please ensure your uploaded images are clear, well-lit, and properly licensed.
If motion generation results appear unstable, try re-uploading with simpler composition or fewer overlapping subjects.
If your prompt is too complex, the generated result may not be as accurate or visually consistent.

Dop Image To Video API — Quick start

Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/higgsfield/dop/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 Dop Image To Video below.

HTTP example

# Submit the prediction
curl -X POST "https://api.wavespeed.ai/api/v3/higgsfield/dop/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",
    "motions": [
        {
            "motion": "Zoom Out",
            "strength": 1
        }
    ],
    "options": "dop-turbo"
}'

# 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].

Node.js example

// npm install wavespeed
const WaveSpeed = require('wavespeed');

const client = new WaveSpeed(); // reads WAVESPEED_API_KEY from env

const result = await client.run("higgsfield/dop/image-to-video", {
        "prompt": "A cinematic shot of a city at sunset, soft golden light",
        "image": "https://example.com/your-input.jpg",
        "motions": [
                {
                        "motion": "Zoom Out",
                        "strength": 1
                }
        ],
        "options": "dop-turbo"
});

console.log(result.outputs[0]); // → URL of the generated output

Python example

# pip install wavespeed
import wavespeed

output = wavespeed.run(
    "higgsfield/dop/image-to-video",
    {
    "prompt": "A cinematic shot of a city at sunset, soft golden light",
    "image": "https://example.com/your-input.jpg",
    "motions": [
        {
            "motion": "Zoom Out",
            "strength": 1
        }
    ],
    "options": "dop-turbo"
}
)

print(output["outputs"][0])  # → URL of the generated output

Dop Image To Video API — Frequently asked questions

What is the Dop Image To Video API?

Dop Image To Video is a Higgsfield model for video generation from images, exposed as a REST API on WaveSpeedAI. DoP converts static images into dynamic 5-second Image-to-Video clips with AI motion synthesis for realistic motion effects. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing. You can call it programmatically or try it from the playground above.

How do I call the Dop Image To Video API?

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/higgsfield/higgsfield-dop-image-to-video.

How much does Dop Image To Video cost per run?

Dop Image To Video starts at $0.13 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.

What inputs does Dop Image To Video accept?

Key inputs: `prompt`, `image`, `end_image`, `motions`, `options`. 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/higgsfield/higgsfield-dop-image-to-video.

How long does Dop Image To Video take to generate?

Average end-to-end generation time on WaveSpeedAI is around 71 seconds per request — measured across recent runs. Queue time scales with global demand; live status is visible in the prediction record.

Can I use Dop Image To Video outputs commercially?

Commercial usage rights depend on the model's license, set by its provider (Higgsfield). The license summary appears on the model card above; see WaveSpeedAI's Terms of Service for platform-level conditions.

예시전체 보기

관련 모델

README