Seedance 2.0 - Image to Video

Try Seedance 2.0 - Image to Video in the Workbench

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

Model ID: bytedance-seedance-2-0-image-to-video ByteDance Seedance 2.0 (Pro) animates a starting frame from a text motion prompt, with optional end-frame control for transitions. Supports 480p, 720p, 1080p, or 4k output, durations from 4-15 seconds, and synchronized 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
Basic parameters
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": "bytedance-seedance-2-0-image-to-video",
  "prompt": "Slow cinematic dolly-in as warm golden-hour light sweeps across the scene, drifting dust and a gentle camera push, 35mm film grain, shallow depth of field.",
  "input_image": "https://hub.oxen.ai/api/repos/elau/assets/file/main/bloxy/bloxy_cropped_512x512.png"
}'

curl -X POST https://hub.oxen.ai/api/ai/videos/generate \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $OXEN_API_KEY" \
  -d '{
  "model": "bytedance-seedance-2-0-image-to-video",
  "prompt": "Slow cinematic dolly-in as warm golden-hour light sweeps across the scene, drifting dust and a gentle camera push, 35mm film grain, shallow depth of field.",
  "input_image": "https://hub.oxen.ai/api/repos/elau/assets/file/main/bloxy/bloxy_cropped_512x512.png",
  "input_image_has_face": false,
  "tail_image_url": "https://hub.oxen.ai/api/repos/elau/assets/file/main/bloxy/bloxy_cropped_512x512.png",
  "tail_image_url_has_face": false
}'

curl -X POST https://hub.oxen.ai/api/ai/videos/generate \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $OXEN_API_KEY" \
  -d '{
  "model": "bytedance-seedance-2-0-image-to-video",
  "prompt": "Slow cinematic dolly-in as warm golden-hour light sweeps across the scene, drifting dust and a gentle camera push, 35mm film grain, shallow depth of field.",
  "input_image": "https://hub.oxen.ai/api/repos/elau/assets/file/main/bloxy/bloxy_cropped_512x512.png",
  "input_image_has_face": false,
  "tail_image_url": "https://hub.oxen.ai/api/repos/elau/assets/file/main/bloxy/bloxy_cropped_512x512.png",
  "tail_image_url_has_face": false,
  "resolution": "720p",
  "duration": -1,
  "aspect_ratio": "16:9",
  "generate_audio": false,
  "watermark": false
}'

See the async queue reference for more details.

Minimal
Basic parameters
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": "bytedance-seedance-2-0-image-to-video",
  "prompt": "Slow cinematic dolly-in as warm golden-hour light sweeps across the scene, drifting dust and a gentle camera push, 35mm film grain, shallow depth of field.",
  "input_image": "https://hub.oxen.ai/api/repos/elau/assets/file/main/bloxy/bloxy_cropped_512x512.png"
}' | 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": "bytedance-seedance-2-0-image-to-video",
  "prompt": "Slow cinematic dolly-in as warm golden-hour light sweeps across the scene, drifting dust and a gentle camera push, 35mm film grain, shallow depth of field.",
  "input_image": "https://hub.oxen.ai/api/repos/elau/assets/file/main/bloxy/bloxy_cropped_512x512.png",
  "input_image_has_face": false,
  "tail_image_url": "https://hub.oxen.ai/api/repos/elau/assets/file/main/bloxy/bloxy_cropped_512x512.png",
  "tail_image_url_has_face": 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 .

# 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": "bytedance-seedance-2-0-image-to-video",
  "prompt": "Slow cinematic dolly-in as warm golden-hour light sweeps across the scene, drifting dust and a gentle camera push, 35mm film grain, shallow depth of field.",
  "input_image": "https://hub.oxen.ai/api/repos/elau/assets/file/main/bloxy/bloxy_cropped_512x512.png",
  "input_image_has_face": false,
  "tail_image_url": "https://hub.oxen.ai/api/repos/elau/assets/file/main/bloxy/bloxy_cropped_512x512.png",
  "tail_image_url_has_face": false,
  "resolution": "720p",
  "duration": -1,
  "aspect_ratio": "16:9",
  "generate_audio": false,
  "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
Basic parameters
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": "bytedance-seedance-2-0-image-to-video",
  "prompt": "Slow cinematic dolly-in as warm golden-hour light sweeps across the scene, drifting dust and a gentle camera push, 35mm film grain, shallow depth of field.",
  "input_image": "https://hub.oxen.ai/api/repos/elau/assets/file/main/bloxy/bloxy_cropped_512x512.png"
}' | 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": "bytedance-seedance-2-0-image-to-video",
  "prompt": "Slow cinematic dolly-in as warm golden-hour light sweeps across the scene, drifting dust and a gentle camera push, 35mm film grain, shallow depth of field.",
  "input_image": "https://hub.oxen.ai/api/repos/elau/assets/file/main/bloxy/bloxy_cropped_512x512.png",
  "input_image_has_face": false,
  "tail_image_url": "https://hub.oxen.ai/api/repos/elau/assets/file/main/bloxy/bloxy_cropped_512x512.png",
  "tail_image_url_has_face": 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 .

# 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": "bytedance-seedance-2-0-image-to-video",
  "prompt": "Slow cinematic dolly-in as warm golden-hour light sweeps across the scene, drifting dust and a gentle camera push, 35mm film grain, shallow depth of field.",
  "input_image": "https://hub.oxen.ai/api/repos/elau/assets/file/main/bloxy/bloxy_cropped_512x512.png",
  "input_image_has_face": false,
  "tail_image_url": "https://hub.oxen.ai/api/repos/elau/assets/file/main/bloxy/bloxy_cropped_512x512.png",
  "tail_image_url_has_face": false,
  "resolution": "720p",
  "duration": -1,
  "aspect_ratio": "16:9",
  "generate_audio": false,
  "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/bytedance-seedance-2-0-image-to-video

Request parameters

Required parameters

Field	Type	Default	Description
`prompt`	`string`	`"Slow cinematic dolly-in as warm golden-hour light sweeps across the scene, drifting dust and a gentle camera push, 35mm film grain, shallow depth of field."`	The text prompt describing the desired motion and action for the video.
`input_image`	`string`	—	The URL of the starting frame image. Formats: JPEG, PNG, WebP. Max 30 MB. Format: uri.

Optional parameters

Field	Type	Default	Description
`input_image_has_face`	`boolean`	`false`	Turn this on when the start frame contains a real human face. Content filters may block the request if this is not enabled.
`tail_image_url`	`string`	—	Optional URL of the end-frame image. When provided, the generated video transitions from the start frame to this end frame. Format: uri.
`tail_image_url_has_face`	`boolean`	`false`	Turn this on when the end frame contains a real human face. Content filters may block the request if this is not enabled.
`resolution`	`string`	`"720p"`	Video resolution. 480p for faster generation, 720p for balance, 1080p for high quality, 4k for maximum detail. One of: 480p, 720p, 1080p, 4k.
`duration`	`integer`	`-1`	Duration of the video in seconds. Supports 4 to 15 seconds, or auto to let the model decide based on the prompt. One of: -1, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15.
`aspect_ratio`	`string`	`"16:9"`	The aspect ratio of the generated video. Use 16:9 for landscape, 9:16 for portrait/vertical, 1:1 for square, 21:9 for ultrawide cinematic, or auto to let the model decide. One of: adaptive, 21:9, 16:9, 4:3, 1:1, 3:4, 9:16.
`generate_audio`	`boolean`	`false`	Whether to generate synchronized audio.
`watermark`	`boolean`	`false`	Whether to add an ‘AI generated’ watermark to the output.

Try Seedance 2.0 - Image 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