Davinci Magihuman Text To Video API Documentation

Davinci Magihuman Text To Video API Documentation

Playground

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 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?

• Human-focused generation Optimized for realistic human motion, expressions, and interactions — ideal for portrait-style and character-driven video content.

• Audio input support Upload an audio track to guide the rhythm, mood, and pacing of the generated video for synchronized results.

• Multiple resolution tiers Generate at 256p, 720p, or 1080p to match your delivery requirements and budget.

• Flexible aspect ratio Supports 16:9 landscape and 9:16 portrait orientations for both cinematic and social media formats.

• Adjustable duration Generate clips from 5 to 10 seconds with per-second granularity.

• Reproducible results Use the seed parameter to lock in a specific output for exact reproduction.

• Prompt Enhancer Built-in tool to automatically improve your scene descriptions for richer output.

Parameters

How to Use

1. Write your prompt — describe the subject, scene, motion, camera movement, and atmosphere. Use the Prompt Enhancer for better results.
2. Upload audio (optional) — provide an audio file or URL to synchronize the video to a specific track.
3. Select aspect ratio — 16:9 for landscape/cinematic, 9:16 for portrait/social.
4. Select resolution — 256p for drafts, 720p for standard output, 1080p for final production.
5. Set duration — choose between 5 and 10 seconds.
6. Set seed (optional) — fix the seed to reproduce a specific result in future runs.
7. Submit — generate, preview, and download your video.

Pricing

Billing Rules

• 256p: $0.02 per second
• 720p: $0.04 per second
• 1080p: $0.06 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

set -euo pipefail

export WAVESPEED_API_KEY="your-api-key"

REQUEST_BODY=$(cat <<'JSON'
{
  "prompt": "A cinematic ocean wave at sunrise, highly detailed",
  "aspect_ratio": "16:9",
  "resolution": "720p",
  "duration": 5,
  "seed": -1
}
JSON
)

# 1. Submit the prediction.
SUBMIT_RESPONSE=$(curl --silent --show-error --fail-with-body \
  -X POST "https://api.wavespeed.ai/api/v3/wavespeed-ai/davinci-magihuman/text-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
done

Parameters

Task Submission Parameters

Request Parameters

Response Parameters

Result Request Parameters

Result Response Parameters