WAN 2.7 - Text to Video

Try WAN 2.7 - Text to Video in the Workbench

Run this model interactively, tune parameters, and compare outputs.

Model ID: wan-v2-7-text-to-video WAN 2.7 text-to-video generates video from a text prompt with enhanced motion smoothness, superior scene fidelity, and greater visual coherence over previous versions. Supports 720P and 1080P output, durations from 2-15 seconds, multiple aspect ratios (16:9, 9:16, 1:1, 4:3, 3:4), multi-shot generation controlled via natural language in the prompt, and optional driving audio.

Example request

Use the Workbench as a request builder: configure parameters for this model in the UI, then open the API tab to copy the exact cURL or Python call.

Sync
Async
Async with SSE

This blocks until the video is ready (typically 5-15 minutes). Prefer Async or Async with SSE for anything beyond quick experimentation.See the video generation reference for more details.

Minimal
All parameters

curl -X POST https://hub.oxen.ai/api/ai/videos/generate \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $OXEN_API_KEY" \
  -d '{
  "model": "wan-v2-7-text-to-video",
  "prompt": "A kitten running in a meadow, cinematic lighting, smooth camera movement."
}'

curl -X POST https://hub.oxen.ai/api/ai/videos/generate \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $OXEN_API_KEY" \
  -d '{
  "model": "wan-v2-7-text-to-video",
  "prompt": "A kitten running in a meadow, cinematic lighting, smooth camera movement.",
  "aspect_ratio": "16:9",
  "resolution": "1080P",
  "duration": 5,
  "prompt_extend": true,
  "watermark": false
}'

See the async queue reference for more details.

Minimal
All parameters

# Enqueue, capture the generation id.
GEN_ID=$(curl -s -X POST https://hub.oxen.ai/api/ai/queue \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $OXEN_API_KEY" \
  -d '{
  "model": "wan-v2-7-text-to-video",
  "prompt": "A kitten running in a meadow, cinematic lighting, smooth camera movement."
}' | jq -r '.generations[0].generation_id')

# Poll until the generation reaches a terminal status.
while true; do
  STATUS=$(curl -s -H "Authorization: Bearer $OXEN_API_KEY" \
    "https://hub.oxen.ai/api/ai/queue/$GEN_ID" | jq -r '.status')
  echo "Status: $STATUS"
  case $STATUS in succeeded|failed|cancelled) break;; esac
  sleep 5
done

# Print the result.
curl -s -H "Authorization: Bearer $OXEN_API_KEY" \
  "https://hub.oxen.ai/api/ai/queue/$GEN_ID" | jq .

# Enqueue, capture the generation id.
GEN_ID=$(curl -s -X POST https://hub.oxen.ai/api/ai/queue \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $OXEN_API_KEY" \
  -d '{
  "model": "wan-v2-7-text-to-video",
  "prompt": "A kitten running in a meadow, cinematic lighting, smooth camera movement.",
  "aspect_ratio": "16:9",
  "resolution": "1080P",
  "duration": 5,
  "prompt_extend": true,
  "watermark": false
}' | jq -r '.generations[0].generation_id')

# Poll until the generation reaches a terminal status.
while true; do
  STATUS=$(curl -s -H "Authorization: Bearer $OXEN_API_KEY" \
    "https://hub.oxen.ai/api/ai/queue/$GEN_ID" | jq -r '.status')
  echo "Status: $STATUS"
  case $STATUS in succeeded|failed|cancelled) break;; esac
  sleep 5
done

# Print the result.
curl -s -H "Authorization: Bearer $OXEN_API_KEY" \
  "https://hub.oxen.ai/api/ai/queue/$GEN_ID" | jq .

See the async queue reference for more details.

Minimal
All parameters

# Enqueue, capture the generation id.
GEN_ID=$(curl -s -X POST https://hub.oxen.ai/api/ai/queue \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $OXEN_API_KEY" \
  -d '{
  "model": "wan-v2-7-text-to-video",
  "prompt": "A kitten running in a meadow, cinematic lighting, smooth camera movement."
}' | jq -r '.generations[0].generation_id')

# Stream the SSE channel, grab the data line that follows a
# media_generation_completed event for our id, and pretty-print it.
curl -sN -H "Authorization: Bearer $OXEN_API_KEY" https://hub.oxen.ai/api/events \
  | awk -v id="$GEN_ID" '
    /^event: media_generation_completed$/ { expect=1; next }
    /^data: / && expect {
      payload = substr($0, 7)
      if (index(payload, "\"generation_id\":\"" id "\"")) { print payload; exit }
      expect = 0
    }
  ' | jq .

# Enqueue, capture the generation id.
GEN_ID=$(curl -s -X POST https://hub.oxen.ai/api/ai/queue \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $OXEN_API_KEY" \
  -d '{
  "model": "wan-v2-7-text-to-video",
  "prompt": "A kitten running in a meadow, cinematic lighting, smooth camera movement.",
  "aspect_ratio": "16:9",
  "resolution": "1080P",
  "duration": 5,
  "prompt_extend": true,
  "watermark": false
}' | jq -r '.generations[0].generation_id')

# Stream the SSE channel, grab the data line that follows a
# media_generation_completed event for our id, and pretty-print it.
curl -sN -H "Authorization: Bearer $OXEN_API_KEY" https://hub.oxen.ai/api/events \
  | awk -v id="$GEN_ID" '
    /^event: media_generation_completed$/ { expect=1; next }
    /^data: / && expect {
      payload = substr($0, 7)
      if (index(payload, "\"generation_id\":\"" id "\"")) { print payload; exit }
      expect = 0
    }
  ' | jq .

Fetch model details

The models endpoint returns the full model object, including its json_request_schema.

curl -H "Authorization: Bearer $OXEN_API_KEY" https://hub.oxen.ai/api/ai/models/wan-v2-7-text-to-video

Request parameters

Required parameters

Field	Type	Default	Description
`prompt`	`string`	`"A kitten running in a meadow, cinematic lighting, smooth camera movement."`	Text prompt describing the desired video. Supports Chinese and English. Max 500 characters. Use ‘generate a single-shot video’ or ‘generate a multi-shot video’ (or timestamped shot descriptions like ‘Shot 1 [0-3s] Wide angle: …’) to control shot structure.

Optional parameters

Field	Type	Default	Description
`aspect_ratio`	`string`	`"16:9"`	Aspect ratio of the generated video. One of: 16:9, 9:16, 1:1, 4:3, 3:4.
`resolution`	`string`	`"1080P"`	Output video resolution tier. One of: 720P, 1080P.
`duration`	`integer`	`5`	Output video duration in seconds (2-15). Range: 2 – 15.
`negative_prompt`	`string`	—	Content to avoid in the video. Supports Chinese and English. Max 500 characters.
`audio_url`	`string`	—	URL of driving audio. Supports WAV and MP3. Duration: 2-30s. Max 15 MB. If omitted, the model auto-generates matching background audio. Format: uri.
`prompt_extend`	`boolean`	`true`	Whether the model rewrites short prompts to improve quality. Adds processing time.
`watermark`	`boolean`	`false`	Adds an ‘AI-generated’ watermark to the bottom-right corner.
`seed`	`integer`	—	Random seed for reproducibility (0-2147483647). Range: 0 – 2147483647.

Inference API

Documentation Index

Try WAN 2.7 - Text to Video in the Workbench

​Example request

​Fetch model details

​Request parameters

​Required parameters

​Optional parameters

Example request

Fetch model details

Request parameters

Required parameters

Optional parameters