Higgsfield Dop Image To Video
Playground
Try it 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.
Features
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
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AI Motion Synthesis Applies physically consistent camera movement and environmental dynamics to still images, creating smooth and natural video motion.
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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.
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One-Click Storytelling Converts a single static image into an engaging 5-second video ready for social media, advertising, or creative production.
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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 | $0.563 |
💡 Best Use Cases
- Social Media Marketing — Turn static campaign visuals into scroll-stopping videos.
- E-commerce & Product Ads — Add depth and subtle motion to product photography.
- Creative Portfolios — Animate artwork and photography to showcase atmosphere and style.
- Film & Design Previsualization — Prototype cinematic shots from reference stills.
📝 Notes
- Please ensure your uploaded images are clear, well-lit, and properly licensed.
- If motion generation results appear unstable, try re-uploading with simpler composition or fewer overlapping subjects.
- If your prompt is too complex, the generated result may not be as accurate or visually consistent.
Authentication
For authentication details, please refer to the Authentication Guide.
API Endpoints
Submit Task & Query Result
set -euo pipefail
export WAVESPEED_API_KEY="your-api-key"
REQUEST_BODY=$(cat <<'JSON'
{
"prompt": "A cinematic ocean wave at sunrise, highly detailed",
"image": "https://interactive-examples.mdn.mozilla.net/media/cc0-images/painted-hand-298-332.jpg",
"motions": [
{
"motion": "360 Orbit",
"strength": 0
}
],
"options": "dop-turbo"
}
JSON
)
# 1. Submit the prediction.
SUBMIT_RESPONSE=$(curl --silent --show-error --fail-with-body \
-X POST "https://api.wavespeed.ai/api/v3/higgsfield/dop/image-to-video" \
-H "Authorization: Bearer ${WAVESPEED_API_KEY}" \
-H "Content-Type: application/json" \
-d "${REQUEST_BODY}")
TASK=$(printf '%s' "${SUBMIT_RESPONSE}" | jq 'if type == "object" and has("data") then .data else . end')
PREDICTION_ID=$(printf '%s' "${TASK}" | jq -r '.id // empty')
if [ -z "${PREDICTION_ID}" ]; then
printf 'Submission response did not contain a prediction id
' >&2
exit 1
fi
RESULT_URL=$(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' "${RESPONSE}" | jq 'if type == "object" and has("data") then .data else . end')
STATUS=$(printf '%s' "${RESULT}" | jq -r '.status // empty')
case "${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
doneParameters
Task Submission Parameters
Request Parameters
| Parameter | Type | Required | Default | Range | Description |
|---|---|---|---|---|---|
| prompt | string | Yes | - | The prompt for generating the image. | |
| image | string | Yes | - | - | |
| motions | array<object> | Yes | - | 1 ~ 2 items | Array of terminoogies to use for translation |
| end_image | string | No | - | - | - |
| options | string | No | dop-turbo | dop-lite, dop-turbo, dop-preview | - |
Response Parameters
| Parameter | Type | Description |
|---|---|---|
| code | integer | HTTP status code (e.g., 200 for success) |
| message | string | Status message (e.g., “success”) |
| data.id | string | Unique identifier for the prediction, Task Id |
| data.model | string | Model ID used for the prediction |
| data.outputs | array | Output values, usually URL strings; some models return text strings or structured result objects (empty when status is not completed) |
| data.urls | object | Object containing related API endpoints |
| data.urls.get | string | URL to retrieve the prediction result |
| data.status | string | Status of the task: created, processing, completed, or failed |
| data.created_at | string | ISO timestamp of when the request was created (e.g., “2023-04-01T12:34:56.789Z”) |
| data.error | string | Error message (empty if no error occurred) |
| data.timings | object | Object containing timing details |
| data.timings.inference | integer | Inference time in milliseconds |
Result Request Parameters
| Parameter | Type | Required | Default | Description |
|---|---|---|---|---|
| id | string | Yes | - | Task ID |
Result Response Parameters
| Parameter | Type | Description |
|---|---|---|
| code | integer | HTTP status code (e.g., 200 for success) |
| message | string | Status message (e.g., “success”) |
| data | object | The prediction data object containing all details |
| data.id | string | Unique identifier for the prediction |
| data.model | string | Model ID used for the prediction |
| data.outputs | array<string | object> | Array of generated outputs (empty when status is not completed). Items are usually URL strings, but may be text strings or structured result objects, depending on the model. |
| data.urls | object | Object containing related API endpoints |
| data.urls.get | string | URL to poll for the prediction result |
| data.status | string | Status: created, processing, completed, or failed |
| data.created_at | string | ISO timestamp of when the request was created |
| data.error | string | Error message (empty if no error occurred) |
| data.timings | object | Object containing timing details |
| data.timings.inference | integer | Inference time in milliseconds |