> ## Documentation Index
> Fetch the complete documentation index at: https://docs.oxen.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# LTX 2.5 Upscale

> Video upscaling to 2K, 4K and 8K

> [card] [Try LTX 2.5 Upscale in the Workbench](https://www.oxen.ai/ai/workbench?model=ltx-2-5-upscale)
>
> Run this model interactively, tune parameters, and compare outputs.

**Model ID:** `ltx-2-5-upscale`

LTX 2.5 Upscale raises video to 2K, 4K or 8K with Lightricks' Refine-Details IC-LoRA for LTX-2.5, adding fine detail while following the input frame by frame.

It returns an MP4 whose shorter side is the chosen size, 1440 for 2K, 2160 for 4K or 4320 for 8K, keeping the input's orientation, aspect ratio and frame rate. Clips run up to 257 frames at 2K and 4K and up to 81 frames at 8K, and no prompt is needed.

| Metric | Value |
| - | - |
| Parameter Count | 22 billion |
| Mixture of Experts | No |

## Example request

> [!TIP]
>
> Use the [Workbench](https://www.oxen.ai/ai/workbench?model=ltx-2-5-upscale) 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.

> [tab] Sync
>
> 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](https://docs.oxen.ai/inference-api/reference/video_generation.md) for more details.
>
> > [tab] Minimal
> >
> > ```bash cURL theme={null}
> > 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-2-5-upscale",
> >   "input_video": "https://hub.oxen.ai/api/repos/ox/Oxen-AI-Assets/file/main/images/winter_summer_ox.mp4"
> > }'
> > ```
> >
> > ```python Python theme={null}
> > 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-2-5-upscale",
> >         "input_video": "https://hub.oxen.ai/api/repos/ox/Oxen-AI-Assets/file/main/images/winter_summer_ox.mp4"
> >     },
> > )
> > response.raise_for_status()
> > print(response.json())
> > ```
>
> > [tab] Basic parameters
> >
> > ```bash cURL theme={null}
> > 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-2-5-upscale",
> >   "input_video": "https://hub.oxen.ai/api/repos/ox/Oxen-AI-Assets/file/main/images/winter_summer_ox.mp4",
> >   "height": 2160
> > }'
> > ```
> >
> > ```python Python theme={null}
> > 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-2-5-upscale",
> >         "input_video": "https://hub.oxen.ai/api/repos/ox/Oxen-AI-Assets/file/main/images/winter_summer_ox.mp4",
> >         "height": 2160
> >     },
> > )
> > response.raise_for_status()
> > print(response.json())
> > ```

> [tab] Async
>
> See the [async queue reference](https://docs.oxen.ai/inference-api/reference/async_queue.md) for more details.
>
> > [tab] Minimal
> >
> > ```bash cURL theme={null}
> > # 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 $OXEN_API_KEY" \
> >   -d '{
> >   "model": "ltx-2-5-upscale",
> >   "input_video": "https://hub.oxen.ai/api/repos/ox/Oxen-AI-Assets/file/main/images/winter_summer_ox.mp4"
> > }' | jq -r '.generations[0].generation_id')
> >
> > # Poll until the generation reaches a terminal status.
> > while true; do
> >   STATUS=$(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 .
> > ```
> >
> > ```python Python theme={null}
> > 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-2-5-upscale",
> >         "input_video": "https://hub.oxen.ai/api/repos/ox/Oxen-AI-Assets/file/main/images/winter_summer_ox.mp4"
> >     },
> > )
> > 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')}")
> > ```
>
> > [tab] Basic parameters
> >
> > ```bash cURL theme={null}
> > # 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 $OXEN_API_KEY" \
> >   -d '{
> >   "model": "ltx-2-5-upscale",
> >   "input_video": "https://hub.oxen.ai/api/repos/ox/Oxen-AI-Assets/file/main/images/winter_summer_ox.mp4",
> >   "height": 2160
> > }' | jq -r '.generations[0].generation_id')
> >
> > # Poll until the generation reaches a terminal status.
> > while true; do
> >   STATUS=$(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 .
> > ```
> >
> > ```python Python theme={null}
> > 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-2-5-upscale",
> >         "input_video": "https://hub.oxen.ai/api/repos/ox/Oxen-AI-Assets/file/main/images/winter_summer_ox.mp4",
> >         "height": 2160
> >     },
> > )
> > 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')}")
> > ```

> [tab] Async with SSE
>
> See the [async queue reference](https://docs.oxen.ai/inference-api/reference/async_queue.md) for more details.
>
> > [tab] Minimal
> >
> > ```bash cURL theme={null}
> > # 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-2-5-upscale",
> >   "input_video": "https://hub.oxen.ai/api/repos/ox/Oxen-AI-Assets/file/main/images/winter_summer_ox.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($0, 7)
> >       if (index(payload, "\"generation_id\":\"" id "\"")) { print payload; exit }
> >       expect = 0
> >     }
> >   ' | jq .
> > ```
> >
> > ```python Python theme={null}
> > import json
> > import os
> > import requests
> >
> > API_KEY = os.environ["OXEN_API_KEY"]
> > AUTH = {"Authorization": f"Bearer {API_KEY}"}
> >
> > enqueue = requests.post(
> >     "https://hub.oxen.ai/api/ai/queue",
> >     headers={**AUTH, "Content-Type": "application/json"},
> >     json={
> >         "model": "ltx-2-5-upscale",
> >         "input_video": "https://hub.oxen.ai/api/repos/ox/Oxen-AI-Assets/file/main/images/winter_summer_ox.mp4"
> >     },
> > )
> > enqueue.raise_for_status()
> > generation_id = enqueue.json()["generations"][0]["generation_id"]
> >
> > with requests.get(
> >     "https://hub.oxen.ai/api/events",
> >     headers=AUTH,
> >     stream=True,
> > ) as stream:
> >     event_name = None
> >     for line in stream.iter_lines(decode_unicode=True):
> >         if line.startswith("event: "):
> >             event_name = line.removeprefix("event: ")
> >         elif line.startswith("data: ") and event_name == "media_generation_completed":
> >             payload = json.loads(line.removeprefix("data: "))
> >             if payload.get("generation_id") == generation_id:
> >                 print(payload)
> >                 break
> > ```
>
> > [tab] Basic parameters
> >
> > ```bash cURL theme={null}
> > # Enqueue, capture the generation id.
> > GEN_ID=$(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-2-5-upscale",
> >   "input_video": "https://hub.oxen.ai/api/repos/ox/Oxen-AI-Assets/file/main/images/winter_summer_ox.mp4",
> >   "height": 2160
> > }' | 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 .
> > ```
> >
> > ```python Python theme={null}
> > 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-2-5-upscale",
> >         "input_video": "https://hub.oxen.ai/api/repos/ox/Oxen-AI-Assets/file/main/images/winter_summer_ox.mp4",
> >         "height": 2160
> >     },
> > )
> > 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](https://docs.oxen.ai/inference-api/reference/models/overview.md) returns the full model object, including its `json_request_schema`.

```bash theme={null}
curl -H "Authorization: Bearer $OXEN_API_KEY" https://hub.oxen.ai/api/ai/models/ltx-2-5-upscale
```

## Request parameters

### Required parameters

| Field | Type | Default | Description |
| - | - | - | - |
| `input_video` | `string` | — | Video to upscale. Format: uri. |

### Optional parameters

| Field | Type | Default | Description |
| - | - | - | - |
| `height` | `integer` | `2160` | The output's shorter side in pixels: 1440 for 2K, 2160 for 4K, 4320 for 8K. A portrait clip at 4K comes out 2160 wide. One of: 1440, 2160, 4320. |


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