Magi 1 24b
Playground
Try it on WaveSpeedAI!Magi-1 is a cinematic video generation model with strong understanding of physical interactions and cinematic prompts. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.
Features
Magi-1 24B is a powerful image-to-video generation model built on a 24 billion parameter architecture. Transform static images into cinematic videos with smooth motion, rich detail, and exceptional visual quality — guided by your text descriptions.
Why It Stands Out
- 24B parameter model: Massive architecture for superior video quality and motion understanding.
- Image-driven generation: Animate any image while preserving its original style and composition.
- Prompt-guided motion: Describe camera movements, actions, and atmospheric effects.
- Prompt Enhancer: Built-in AI-powered prompt optimization for better results.
- High visual fidelity: Produces cinematic-quality videos with natural motion.
- Reproducibility: Use the seed parameter to recreate exact results.
Parameters
| Parameter | Required | Description |
|---|---|---|
| prompt | Yes | Text description of desired motion, action, and style. |
| image | No | Source image to animate (upload or public URL). |
| seed | No | Set for reproducibility; leave empty for random. |
How to Use
- Upload your source image — drag and drop a file or paste a public URL.
- Write a prompt describing the motion, camera movement, and atmosphere you want. Use the Prompt Enhancer for AI-assisted optimization.
- Set a seed (optional) for reproducible results.
- Click Run and wait for your video to generate.
- Preview and download the result.
Best Use Cases
- Cinematic Content — Transform artwork and stills into movie-like sequences.
- Social Media Content — Turn photos into engaging video posts.
- Marketing & Advertising — Animate hero images without expensive video production.
- Storytelling & Art — Bring illustrations, portraits, and concept art to life.
- Music Videos — Create dynamic visuals from album art or promotional images.
Pricing
| Frames | Price |
|---|---|
| 24 frames | $0.08 |
| 48 frames | $0.16 |
| 72 frames | $0.24 |
| 96 frames | $0.32 |
Billing Rules
- Billed per 24 frames at $0.08
- At 24fps, this equals $0.08 per second of video
Pro Tips for Best Quality
- Use high-resolution, well-lit source images for optimal results.
- Be specific in your prompt — describe camera movement, subject actions, and environmental effects.
- Include atmospheric details like wind, lighting changes, or subtle movements.
- For romantic or dramatic scenes, describe flowing elements like dresses, hair, or clouds.
- Fix the seed when iterating to compare different prompt variations.
Notes
- Ensure uploaded image URLs are publicly accessible.
- Processing time varies based on frame count and current queue load.
- Please ensure your prompts comply with content guidelines.
Authentication
For authentication details, please refer to the Authentication Guide.
API Endpoints
Submit Task & Query Result
set -euo pipefail
export WAVESPEED_API_KEY="your-api-key"
REQUEST_BODY=$(cat <<'JSON'
{
"prompt": "A cinematic ocean wave at sunrise, highly detailed"
}
JSON
)
# 1. Submit the prediction.
SUBMIT_RESPONSE=$(curl --silent --show-error --fail-with-body \
-X POST "https://api.wavespeed.ai/api/v3/wavespeed-ai/magi-1-24b" \
-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 positive prompt for the generation. | |
| image | string | No | - | URL of an input image to represent the first frame of the video. If the input image does not match the chosen aspect ratio, it is resized and center cropped. | |
| seed | integer | No | - | - | The random seed to use for the generation. |
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 |