WAN 2.7 - Edit Video

Try WAN 2.7 - Edit Video in the Workbench

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

Model ID: wan-v2-7-edit-video WAN 2.7 edit-video transforms existing videos using instruction-based editing, reference image-based editing, and video style transfer. It supports up to 1080p output, input videos of 2-10 seconds, multiple aspect ratios, and configurable audio handling (auto-regenerate or preserve original).

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-edit-video",
  "prompt": "Transform the entire scene into a beautiful watercolor painting style. Soft brushstrokes, flowing paint washes, visible paper texture.",
  "input_video": "https://hub.oxen.ai/api/repos/ox/Oxen-AI-Assets/file/main/videos/waterfall.mp4"
}'

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-edit-video",
  "prompt": "Transform the entire scene into a beautiful watercolor painting style. Soft brushstrokes, flowing paint washes, visible paper texture.",
  "input_video": "https://hub.oxen.ai/api/repos/ox/Oxen-AI-Assets/file/main/videos/waterfall.mp4",
  "resolution": "1080p",
  "duration": 0,
  "audio_setting": "auto"
}'

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-edit-video",
  "prompt": "Transform the entire scene into a beautiful watercolor painting style. Soft brushstrokes, flowing paint washes, visible paper texture.",
  "input_video": "https://hub.oxen.ai/api/repos/ox/Oxen-AI-Assets/file/main/videos/waterfall.mp4"
}' | 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-edit-video",
  "prompt": "Transform the entire scene into a beautiful watercolor painting style. Soft brushstrokes, flowing paint washes, visible paper texture.",
  "input_video": "https://hub.oxen.ai/api/repos/ox/Oxen-AI-Assets/file/main/videos/waterfall.mp4",
  "resolution": "1080p",
  "duration": 0,
  "audio_setting": "auto"
}' | 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-edit-video",
  "prompt": "Transform the entire scene into a beautiful watercolor painting style. Soft brushstrokes, flowing paint washes, visible paper texture.",
  "input_video": "https://hub.oxen.ai/api/repos/ox/Oxen-AI-Assets/file/main/videos/waterfall.mp4"
}' | 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-edit-video",
  "prompt": "Transform the entire scene into a beautiful watercolor painting style. Soft brushstrokes, flowing paint washes, visible paper texture.",
  "input_video": "https://hub.oxen.ai/api/repos/ox/Oxen-AI-Assets/file/main/videos/waterfall.mp4",
  "resolution": "1080p",
  "duration": 0,
  "audio_setting": "auto"
}' | 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-edit-video

Request parameters

Required parameters

Field	Type	Default	Description
`prompt`	`string`	`"Transform the entire scene into a beautiful watercolor painting style. Soft brushstrokes, flowing paint washes, visible paper texture."`	Editing instruction or style transfer description.
`input_video`	`string`	`"https://hub.oxen.ai/api/repos/ox/Oxen-AI-Assets/file/main/videos/waterfall.mp4"`	URL of the input video to edit. Format: MP4, MOV. Duration: 2-10s. Max 100 MB. Format: uri.

Optional parameters

Field	Type	Default	Description
`resolution`	`string`	`"1080p"`	Output video resolution tier. One of: 720p, 1080p.
`duration`	`integer`	`0`	Output video duration in seconds. Default 0 means match input video duration. When set (2-10), truncates from the start. One of: 0, 2, 3, 4, 5, 6, 7, 8, 9, 10.
`reference_image_url`	`string`	—	Reference image URL for reference-based editing. Format: uri.
`audio_setting`	`string`	`"auto"`	Audio handling. ‘auto’: model decides whether to regenerate audio. ‘origin’: preserve original audio from input video. One of: auto, origin.
`seed`	`integer`	—	Random seed for reproducibility (0-2147483647).

Inference API

Documentation Index

Try WAN 2.7 - Edit 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