Happy Horse - Text to Video

Try Happy Horse - Text to Video in the Workbench

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

Model ID: happyhorse-1.0-t2v HappyHorse 1.0 text-to-video generates video from a text prompt at 720P or 1080P with durations from 3 to 15 seconds and configurable aspect ratio.

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": "happyhorse-1.0-t2v",
  "prompt": "A cinematic shot of a horse running through a meadow at sunset."
}'

curl -X POST https://hub.oxen.ai/api/ai/videos/generate \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $OXEN_API_KEY" \
  -d '{
  "model": "happyhorse-1.0-t2v",
  "prompt": "A cinematic shot of a horse running through a meadow at sunset.",
  "aspect_ratio": "16:9",
  "resolution": "1080P",
  "duration": 5
}'

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": "happyhorse-1.0-t2v",
  "prompt": "A cinematic shot of a horse running through a meadow at sunset."
}' | 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": "happyhorse-1.0-t2v",
  "prompt": "A cinematic shot of a horse running through a meadow at sunset.",
  "aspect_ratio": "16:9",
  "resolution": "1080P",
  "duration": 5
}' | 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": "happyhorse-1.0-t2v",
  "prompt": "A cinematic shot of a horse running through a meadow at sunset."
}' | 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": "happyhorse-1.0-t2v",
  "prompt": "A cinematic shot of a horse running through a meadow at sunset.",
  "aspect_ratio": "16:9",
  "resolution": "1080P",
  "duration": 5
}' | 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/happyhorse-1.0-t2v

Request parameters

Required parameters

Field	Type	Default	Description
`prompt`	`string`	`"A cinematic shot of a horse running through a meadow at sunset."`	Text prompt describing the desired video.

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 (3-15). Range: 3 – 15.
`seed`	`integer`	—	Random seed for reproducibility (0-2147483647). Range: 0 – 2147483647.

Try Happy Horse - 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