Wan 2.1 I2V 720p API Documentation

Wan 2.1 I2V 720p API Documentation

Playground

WAN 2.1 i2v converts images into unlimited 720P AI videos for scalable content generation. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.

Features

Transform your static images into dynamic, cinematic videos with Wan 2.1 Image-to-Video 720p. This state-of-the-art model brings your photos to life with smooth motion, natural transitions, and high visual fidelity — all guided by simple text prompts.

Why It Stands Out

• Image-driven generation: Start from any image and animate it into a coherent video while preserving the original style and composition.
• Prompt-guided motion: Describe the action you want — camera movements, character expressions, environmental changes — and watch your vision unfold.
• Negative prompt support: Exclude unwanted elements or artifacts for cleaner, more controlled outputs.
• Prompt Enhancer: Built-in AI-powered prompt optimization helps you craft better descriptions for improved results.
• Flexible duration: Generate 5-second or 10-second clips depending on your needs.
• Reproducibility: Use the seed parameter to recreate exact results or iterate on variations.

Pricing

Parameters

How to Use

1. Upload your source image — drag and drop, or paste a public URL.
2. Write a prompt describing the motion, mood, and style you want. Use the Prompt Enhancer for AI-assisted optimization.
3. Set parameters — adjust duration, guidance scale, and other settings as needed.
4. Add a negative prompt (optional) to exclude unwanted elements.
5. Click Run and wait for your video to generate.
6. Preview and download the result.

Best Use Cases

• Social Media Content — Turn product photos or portraits into eye-catching video posts.
• Marketing & Advertising — Animate hero images for campaigns without expensive video shoots.
• Storytelling & Concept Art — Bring storyboards and illustrations to life for pitches and presentations.
• E-commerce — Create dynamic product showcases from static photography.
• Personal Projects — Animate family photos, travel shots, or creative artwork.

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 atmospheric details.
• Start with lower inference steps (20–25) for quick previews, then increase for final renders.
• Use negative prompts to reduce artifacts like blur, distortion, or unwanted motion.
• Fix the seed when iterating to compare the effect of different parameters.

Notes

• Ensure uploaded images or URLs are publicly accessible.
• Processing time varies based on duration 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",
  "image": "https://interactive-examples.mdn.mozilla.net/media/cc0-images/painted-hand-298-332.jpg",
  "size": "1280*720",
  "num_inference_steps": 30,
  "duration": 5,
  "guidance_scale": 5,
  "flow_shift": 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/wan-2.1/i2v-720p" \
  -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