Davinci Magihuman Text To Video
Playground
Try it on WavespeedAI!daVinci MagiHuman Text-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 text prompts with optional audio input. Supports digital humans, talking heads, flexible aspect ratios, durations, and resolutions. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.
Features
DaVinci MagiHuman Text-to-Video
DaVinci MagiHuman Text-to-Video is a cinematic text-to-video model specialized in generating realistic human-centered scenes. Describe your scene in natural language, optionally provide an audio track to synchronize, and get a high-quality video with natural human motion, expressive storytelling, and cinematic atmosphere — at multiple resolution and duration options.
Why Choose This?
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Human-focused generation Optimized for realistic human motion, expressions, and interactions — ideal for portrait-style and character-driven video content.
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Audio input support Upload an audio track to guide the rhythm, mood, and pacing of the generated video for synchronized results.
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Multiple resolution tiers Generate at 256p, 720p, or 1080p to match your delivery requirements and budget.
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Flexible aspect ratio Supports 16:9 landscape and 9:16 portrait orientations for both cinematic and social media formats.
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Adjustable duration Generate clips from 5 to 10 seconds with per-second granularity.
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Reproducible results Use the seed parameter to lock in a specific output for exact reproduction.
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Prompt Enhancer Built-in tool to automatically improve your scene descriptions for richer output.
Parameters
| Parameter | Required | Description |
|---|---|---|
| prompt | Yes | Text description of the scene, subject, motion, camera style, and mood. |
| 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. |
How to Use
- Write your prompt — describe the subject, scene, motion, camera movement, and atmosphere. Use the Prompt Enhancer for better results.
- Upload audio (optional) — provide an audio file or URL to synchronize the video to a specific track.
- Select aspect ratio — 16:9 for landscape/cinematic, 9:16 for portrait/social.
- Select resolution — 256p for drafts, 720p for standard output, 1080p for final production.
- Set duration — choose between 5 and 10 seconds.
- Set seed (optional) — fix the seed to reproduce a specific result in future runs.
- Submit — generate, preview, and download your video.
Pricing
| 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 |
Billing Rules
- 256p: $0.02 per second
- 720p: $0.03 per second
- 1080p: $0.04 per second
- Duration options: 5–10 seconds
Best Use Cases
- Cinematic Storytelling — Generate atmospheric, character-driven scenes from detailed text descriptions.
- Social Media Content — Produce portrait-format human-centered clips for Reels, TikTok, and Shorts.
- Music Video & Audio-Visual — Synchronize generated video to a music track or voiceover for cohesive results.
- Marketing & Brand Video — Quickly produce human-focused promotional content without a film crew.
- Concept Visualization — Bring narrative ideas and moods to life for pitching and storyboarding.
Pro Tips
- Include specific camera style references in your prompt (handheld, dolly, bokeh, cinematic color grade) for more expressive results.
- Use 256p at shorter durations to rapidly test prompts before committing to a 1080p final render.
- Providing an audio track significantly improves rhythm and pacing alignment in the output.
- Fix the seed once you find a result you like to iterate on it consistently across resolution and duration changes.
- 9:16 aspect ratio works best for close-up portrait and upper-body compositions.
Notes
- Only prompt is required; all other parameters are optional.
- Duration is selectable in 1-second increments from 5 to 10 seconds.
- Ensure audio URLs are publicly accessible if using a link rather than a direct upload.
Related Models
- DaVinci MagiHuman Image-to-Video — Animate a reference image into a human-centered cinematic video.
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/davinci-magihuman/text-to-video" \
--header "Content-Type: application/json" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}" \
--data-raw '{
"aspect_ratio": "16:9",
"resolution": "720p",
"duration": 5,
"seed": -1
}'
# Get the result
curl --location --request GET "https://api.wavespeed.ai/api/v3/predictions/${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. | |
| audio | string | No | - | - | The audio URL for generating the output. If provided, the model will generate a video synchronized with the audio. |
| aspect_ratio | string | No | 16:9 | 16:9, 9:16 | The aspect ratio of the generated video. |
| resolution | string | No | 720p | 256p, 720p, 1080p | The resolution of the generated video. |
| duration | integer | No | 5 | 5, 6, 7, 8, 9, 10 | The duration of the generated video in seconds. |
| seed | integer | No | -1 | -1 ~ 2147483647 | The random seed to use for the generation. -1 means a random seed will be used. |
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 |