Try LTX 2.3 in the Workbench
Run this model interactively, tune parameters, and compare outputs.
ltx-2-3
LTX 2.3 generates video from a text prompt, a first-frame image, or an audio track, served directly by Lightricks’ LTX API. One form covers all three: add an input image for image-to-video, add an audio file for a synchronized audio-to-video generation, or generate from the prompt alone, at up to 4K and 50 FPS.
Pick the Fast tier for speed and cost or the Pro tier for higher fidelity; both reach 4K, and audio-to-video always runs on Pro, the only tier LTX serves it on. Editing an existing clip lives on the companion LTX 2.3 Extend, Retake, and Reframe models.
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": "ltx-2-3",
"prompt": "<prompt>"
}'
import os
import requests
response = requests.post(
"https://hub.oxen.ai/api/ai/videos/generate",
headers={
"Content-Type": "application/json",
"Authorization": f"Bearer {os.environ['OXEN_API_KEY']}",
},
json={
"model": "ltx-2-3",
"prompt": "<prompt>"
},
)
response.raise_for_status()
print(response.json())
curl -X POST https://hub.oxen.ai/api/ai/videos/generate \
-H "Content-Type: application/json" \
-H "Authorization: Bearer $OXEN_API_KEY" \
-d '{
"model": "ltx-2-3",
"prompt": "<prompt>",
"input_image": "https://hub.oxen.ai/api/repos/elau/assets/file/main/bloxy/bloxy_cropped_512x512.png",
"input_audio": "https://example.com/audio.mp3",
"video_mode": "fast"
}'
import os
import requests
response = requests.post(
"https://hub.oxen.ai/api/ai/videos/generate",
headers={
"Content-Type": "application/json",
"Authorization": f"Bearer {os.environ['OXEN_API_KEY']}",
},
json={
"model": "ltx-2-3",
"prompt": "<prompt>",
"input_image": "https://hub.oxen.ai/api/repos/elau/assets/file/main/bloxy/bloxy_cropped_512x512.png",
"input_audio": "https://example.com/audio.mp3",
"video_mode": "fast"
},
)
response.raise_for_status()
print(response.json())
curl -X POST https://hub.oxen.ai/api/ai/videos/generate \
-H "Content-Type: application/json" \
-H "Authorization: Bearer $OXEN_API_KEY" \
-d '{
"model": "ltx-2-3",
"prompt": "<prompt>",
"input_image": "https://hub.oxen.ai/api/repos/elau/assets/file/main/bloxy/bloxy_cropped_512x512.png",
"input_audio": "https://example.com/audio.mp3",
"video_mode": "fast",
"resolution": "1080p",
"aspect_ratio": "16:9",
"duration": 6,
"fps": 24,
"generate_audio": true,
"camera_motion": "none"
}'
import os
import requests
response = requests.post(
"https://hub.oxen.ai/api/ai/videos/generate",
headers={
"Content-Type": "application/json",
"Authorization": f"Bearer {os.environ['OXEN_API_KEY']}",
},
json={
"model": "ltx-2-3",
"prompt": "<prompt>",
"input_image": "https://hub.oxen.ai/api/repos/elau/assets/file/main/bloxy/bloxy_cropped_512x512.png",
"input_audio": "https://example.com/audio.mp3",
"video_mode": "fast",
"resolution": "1080p",
"aspect_ratio": "16:9",
"duration": 6,
"fps": 24,
"generate_audio": true,
"camera_motion": "none"
},
)
response.raise_for_status()
print(response.json())
See the async queue reference for more details.
- Minimal
- Basic parameters
- All parameters
# Enqueue, capture the generation id.
GEN_ID=$(curl -s -X POST https://hub.oxen.ai/api/ai/queue \
-H "Content-Type: application/json" \
-H "Authorization: Bearer $OXEN_API_KEY" \
-d '{
"model": "ltx-2-3",
"prompt": "<prompt>"
}' | jq -r '.generations[0].generation_id')
# Poll until the generation reaches a terminal status.
while true; do
STATUS=$(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 .
import os
import time
import requests
HEADERS = {
"Content-Type": "application/json",
"Authorization": f"Bearer {os.environ['OXEN_API_KEY']}",
}
enqueue = requests.post(
"https://hub.oxen.ai/api/ai/queue",
headers=HEADERS,
json={
"model": "ltx-2-3",
"prompt": "<prompt>"
},
)
enqueue.raise_for_status()
generation_id = enqueue.json()["generations"][0]["generation_id"]
while True:
data = requests.get(
f"https://hub.oxen.ai/api/ai/queue/{generation_id}",
headers=HEADERS,
).json()
if data["status"] in {"succeeded", "failed", "cancelled"}:
break
time.sleep(5)
if data["status"] == "succeeded":
print(f"Result: {data['result_url']}")
else:
print(f"Generation {data['status']}: {data.get('error_message')}")
# 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 $OXEN_API_KEY" \
-d '{
"model": "ltx-2-3",
"prompt": "<prompt>",
"input_image": "https://hub.oxen.ai/api/repos/elau/assets/file/main/bloxy/bloxy_cropped_512x512.png",
"input_audio": "https://example.com/audio.mp3",
"video_mode": "fast"
}' | jq -r '.generations[0].generation_id')
# Poll until the generation reaches a terminal status.
while true; do
STATUS=$(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 .
import os
import time
import requests
HEADERS = {
"Content-Type": "application/json",
"Authorization": f"Bearer {os.environ['OXEN_API_KEY']}",
}
enqueue = requests.post(
"https://hub.oxen.ai/api/ai/queue",
headers=HEADERS,
json={
"model": "ltx-2-3",
"prompt": "<prompt>",
"input_image": "https://hub.oxen.ai/api/repos/elau/assets/file/main/bloxy/bloxy_cropped_512x512.png",
"input_audio": "https://example.com/audio.mp3",
"video_mode": "fast"
},
)
enqueue.raise_for_status()
generation_id = enqueue.json()["generations"][0]["generation_id"]
while True:
data = requests.get(
f"https://hub.oxen.ai/api/ai/queue/{generation_id}",
headers=HEADERS,
).json()
if data["status"] in {"succeeded", "failed", "cancelled"}:
break
time.sleep(5)
if data["status"] == "succeeded":
print(f"Result: {data['result_url']}")
else:
print(f"Generation {data['status']}: {data.get('error_message')}")
# 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 $OXEN_API_KEY" \
-d '{
"model": "ltx-2-3",
"prompt": "<prompt>",
"input_image": "https://hub.oxen.ai/api/repos/elau/assets/file/main/bloxy/bloxy_cropped_512x512.png",
"input_audio": "https://example.com/audio.mp3",
"video_mode": "fast",
"resolution": "1080p",
"aspect_ratio": "16:9",
"duration": 6,
"fps": 24,
"generate_audio": true,
"camera_motion": "none"
}' | jq -r '.generations[0].generation_id')
# Poll until the generation reaches a terminal status.
while true; do
STATUS=$(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 .
import os
import time
import requests
HEADERS = {
"Content-Type": "application/json",
"Authorization": f"Bearer {os.environ['OXEN_API_KEY']}",
}
enqueue = requests.post(
"https://hub.oxen.ai/api/ai/queue",
headers=HEADERS,
json={
"model": "ltx-2-3",
"prompt": "<prompt>",
"input_image": "https://hub.oxen.ai/api/repos/elau/assets/file/main/bloxy/bloxy_cropped_512x512.png",
"input_audio": "https://example.com/audio.mp3",
"video_mode": "fast",
"resolution": "1080p",
"aspect_ratio": "16:9",
"duration": 6,
"fps": 24,
"generate_audio": true,
"camera_motion": "none"
},
)
enqueue.raise_for_status()
generation_id = enqueue.json()["generations"][0]["generation_id"]
while True:
data = requests.get(
f"https://hub.oxen.ai/api/ai/queue/{generation_id}",
headers=HEADERS,
).json()
if data["status"] in {"succeeded", "failed", "cancelled"}:
break
time.sleep(5)
if data["status"] == "succeeded":
print(f"Result: {data['result_url']}")
else:
print(f"Generation {data['status']}: {data.get('error_message')}")
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": "ltx-2-3",
"prompt": "<prompt>"
}' | 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($0, 7)
if (index(payload, "\"generation_id\":\"" id "\"")) { print payload; exit }
expect = 0
}
' | jq .
import json
import os
import requests
API_KEY = os.environ["OXEN_API_KEY"]
AUTH = {"Authorization": f"Bearer {API_KEY}"}
enqueue = requests.post(
"https://hub.oxen.ai/api/ai/queue",
headers={**AUTH, "Content-Type": "application/json"},
json={
"model": "ltx-2-3",
"prompt": "<prompt>"
},
)
enqueue.raise_for_status()
generation_id = enqueue.json()["generations"][0]["generation_id"]
with requests.get(
"https://hub.oxen.ai/api/events",
headers=AUTH,
stream=True,
) as stream:
event_name = None
for line in stream.iter_lines(decode_unicode=True):
if line.startswith("event: "):
event_name = line.removeprefix("event: ")
elif line.startswith("data: ") and event_name == "media_generation_completed":
payload = json.loads(line.removeprefix("data: "))
if payload.get("generation_id") == generation_id:
print(payload)
break
# Enqueue, capture the generation id.
GEN_ID=$(curl -s -X POST https://hub.oxen.ai/api/ai/queue \
-H "Content-Type: application/json" \
-H "Authorization: Bearer $OXEN_API_KEY" \
-d '{
"model": "ltx-2-3",
"prompt": "<prompt>",
"input_image": "https://hub.oxen.ai/api/repos/elau/assets/file/main/bloxy/bloxy_cropped_512x512.png",
"input_audio": "https://example.com/audio.mp3",
"video_mode": "fast"
}' | 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($0, 7)
if (index(payload, "\"generation_id\":\"" id "\"")) { print payload; exit }
expect = 0
}
' | jq .
import json
import os
import requests
API_KEY = os.environ["OXEN_API_KEY"]
AUTH = {"Authorization": f"Bearer {API_KEY}"}
enqueue = requests.post(
"https://hub.oxen.ai/api/ai/queue",
headers={**AUTH, "Content-Type": "application/json"},
json={
"model": "ltx-2-3",
"prompt": "<prompt>",
"input_image": "https://hub.oxen.ai/api/repos/elau/assets/file/main/bloxy/bloxy_cropped_512x512.png",
"input_audio": "https://example.com/audio.mp3",
"video_mode": "fast"
},
)
enqueue.raise_for_status()
generation_id = enqueue.json()["generations"][0]["generation_id"]
with requests.get(
"https://hub.oxen.ai/api/events",
headers=AUTH,
stream=True,
) as stream:
event_name = None
for line in stream.iter_lines(decode_unicode=True):
if line.startswith("event: "):
event_name = line.removeprefix("event: ")
elif line.startswith("data: ") and event_name == "media_generation_completed":
payload = json.loads(line.removeprefix("data: "))
if payload.get("generation_id") == generation_id:
print(payload)
break
# Enqueue, capture the generation id.
GEN_ID=$(curl -s -X POST https://hub.oxen.ai/api/ai/queue \
-H "Content-Type: application/json" \
-H "Authorization: Bearer $OXEN_API_KEY" \
-d '{
"model": "ltx-2-3",
"prompt": "<prompt>",
"input_image": "https://hub.oxen.ai/api/repos/elau/assets/file/main/bloxy/bloxy_cropped_512x512.png",
"input_audio": "https://example.com/audio.mp3",
"video_mode": "fast",
"resolution": "1080p",
"aspect_ratio": "16:9",
"duration": 6,
"fps": 24,
"generate_audio": true,
"camera_motion": "none"
}' | 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 .
import json
import os
import requests
API_KEY = os.environ["OXEN_API_KEY"]
AUTH = {"Authorization": f"Bearer {API_KEY}"}
enqueue = requests.post(
"https://hub.oxen.ai/api/ai/queue",
headers={**AUTH, "Content-Type": "application/json"},
json={
"model": "ltx-2-3",
"prompt": "<prompt>",
"input_image": "https://hub.oxen.ai/api/repos/elau/assets/file/main/bloxy/bloxy_cropped_512x512.png",
"input_audio": "https://example.com/audio.mp3",
"video_mode": "fast",
"resolution": "1080p",
"aspect_ratio": "16:9",
"duration": 6,
"fps": 24,
"generate_audio": true,
"camera_motion": "none"
},
)
enqueue.raise_for_status()
generation_id = enqueue.json()["generations"][0]["generation_id"]
with requests.get(
"https://hub.oxen.ai/api/events",
headers=AUTH,
stream=True,
) as stream:
event_name = None
for line in stream.iter_lines(decode_unicode=True):
if line.startswith("event: "):
event_name = line.removeprefix("event: ")
elif line.startswith("data: ") and event_name == "media_generation_completed":
payload = json.loads(line.removeprefix("data: "))
if payload.get("generation_id") == generation_id:
print(payload)
break
Fetch model details
The models endpoint returns the full model object, including itsjson_request_schema.
curl -H "Authorization: Bearer $OXEN_API_KEY" https://hub.oxen.ai/api/ai/models/ltx-2-3
Request parameters
Required parameters
| Field | Type | Default | Description |
|---|---|---|---|
prompt | string | — | Text description of the video to generate, or how to animate the input image. |
Optional parameters
| Field | Type | Default | Description |
|---|---|---|---|
input_image | string | — | Optional first-frame image to animate (image-to-video). Leave empty to generate from the prompt alone. Format: uri. |
input_audio | string | — | Optional audio track (2-20 seconds) to drive an audio-to-video generation. Output length and lip sync follow the audio; 1080p only. Always runs on Pro. Format: uri. |
video_mode | string | "fast" | Fast is quicker and cheaper; Pro is higher fidelity. Audio-to-video always runs on Pro. One of: fast, pro. |
tail_image_url | string | — | Optional last frame for image-to-video; the model interpolates between the input image and this frame. Format: uri. |
resolution | string | "1080p" | Output resolution tier. Audio-to-video is 1080p only. One of: 720p, 1080p, 1440p, 4k. |
aspect_ratio | string | "16:9" | Output aspect ratio. One of: 16:9, 9:16. |
duration | integer | 6 | Video duration in seconds. Up to 20 seconds on Fast at 720p/1080p and 24/25 FPS, otherwise up to 10. Range: 6 – 20. |
fps | integer | 24 | Frame rate. 48 and 50 FPS shorten the maximum duration. One of: 24, 25, 48, 50. |
generate_audio | boolean | true | Generate synchronized audio for the video. |
camera_motion | string | "none" | Camera motion effect to apply to the generated video. One of: none, dolly_in, dolly_out, dolly_left, dolly_right, jib_up, jib_down, static, focus_shift. |
guidance_scale | number | — | Audio-to-video only: how strictly the video follows the prompt. Defaults to 5 with a prompt, 9 with an input image. Range: 1 – 15. |