Magi 1 24b

Playground

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 — Image-to-Video

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


# Submit the task
curl --location --request POST "https://api.wavespeed.ai/api/v3/wavespeed-ai/magi-1-24b" \
--header "Content-Type: application/json" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}" \
--data-raw '{}'

# Get the result
curl --location --request GET "https://api.wavespeed.ai/api/v3/predictions/${requestId}/result" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}"

Parameters

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	-	-1 ~ 2147483647	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	Array of URLs to the generated content (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.has_nsfw_contents	array	Array of boolean values indicating NSFW detection for each output
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, the ID of the prediction to get
data.model	string	Model ID used for the prediction
data.outputs	string	Array of URLs to the generated content (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

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