> ## 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. # Seedance 2.5 - Reference to Video > Reference-guided video, audio-driven, up to 30s Run this model interactively, tune parameters, and compare outputs. **Model ID:** `bytedance-seedance-2-5-reference-to-video` ByteDance Seedance 2.5 generates video from a text prompt guided by reference images, videos, and/or audio, with synchronized audio on by default. Accepts up to 30 reference images, 10 reference videos, and 10 reference audio clips, including audio-only input. Supports generating new videos, editing videos, extending videos, and coherent outputs up to 30 seconds long at 480p or 720p. ## Example request Use the [Workbench](https://www.oxen.ai/ai/workbench?model=bytedance-seedance-2-5-reference-to-video) 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. 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](/inference-api/reference/video_generation) for more details. ```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": "bytedance-seedance-2-5-reference-to-video", "prompt": "" }' ``` ```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": "bytedance-seedance-2-5-reference-to-video", "prompt": "" }, ) response.raise_for_status() print(response.json()) ``` ```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": "bytedance-seedance-2-5-reference-to-video", "prompt": "", "input_face_images": [ "https://hub.oxen.ai/api/repos/elau/assets/file/main/bloxy/bloxy_cropped_512x512.png" ], "input_images": [ "https://hub.oxen.ai/api/repos/elau/assets/file/main/bloxy/bloxy_cropped_512x512.png" ], "input_face_videos": [ "https://hub.oxen.ai/api/repos/ox/Oxen-AI-Assets/file/main/images/winter_summer_ox.mp4" ], "input_videos": [ "https://hub.oxen.ai/api/repos/ox/Oxen-AI-Assets/file/main/images/winter_summer_ox.mp4" ], "input_audios": [ "https://example.com/audio.mp3" ] }' ``` ```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": "bytedance-seedance-2-5-reference-to-video", "prompt": "", "input_face_images": [ "https://hub.oxen.ai/api/repos/elau/assets/file/main/bloxy/bloxy_cropped_512x512.png" ], "input_images": [ "https://hub.oxen.ai/api/repos/elau/assets/file/main/bloxy/bloxy_cropped_512x512.png" ], "input_face_videos": [ "https://hub.oxen.ai/api/repos/ox/Oxen-AI-Assets/file/main/images/winter_summer_ox.mp4" ], "input_videos": [ "https://hub.oxen.ai/api/repos/ox/Oxen-AI-Assets/file/main/images/winter_summer_ox.mp4" ], "input_audios": [ "https://example.com/audio.mp3" ] }, ) response.raise_for_status() print(response.json()) ``` ```bash cURL theme={null} curl -X POST https://hub.oxen.ai/api/ai/videos/generate \ -H "Content-Type: application/json" \ -H "Authorization: Bearer $OXEN_API_KEY" \ -d '{ "model": "bytedance-seedance-2-5-reference-to-video", "prompt": "", "input_face_images": [ "https://hub.oxen.ai/api/repos/elau/assets/file/main/bloxy/bloxy_cropped_512x512.png" ], "input_images": [ "https://hub.oxen.ai/api/repos/elau/assets/file/main/bloxy/bloxy_cropped_512x512.png" ], "input_face_videos": [ "https://hub.oxen.ai/api/repos/ox/Oxen-AI-Assets/file/main/images/winter_summer_ox.mp4" ], "input_videos": [ "https://hub.oxen.ai/api/repos/ox/Oxen-AI-Assets/file/main/images/winter_summer_ox.mp4" ], "input_audios": [ "https://example.com/audio.mp3" ], "resolution": "720p", "duration": "auto", "aspect_ratio": "adaptive", "generate_audio": true, "output_format": "mp4", "watermark": false }' ``` ```python Python theme={null} import os import requests response = requests.post( "https://hub.oxen.ai/api/ai/videos/generate", headers={ "Content-Type": "application/json", "Authorization": f"Bearer {os.environ['OXEN_API_KEY']}", }, json={ "model": "bytedance-seedance-2-5-reference-to-video", "prompt": "", "input_face_images": [ "https://hub.oxen.ai/api/repos/elau/assets/file/main/bloxy/bloxy_cropped_512x512.png" ], "input_images": [ "https://hub.oxen.ai/api/repos/elau/assets/file/main/bloxy/bloxy_cropped_512x512.png" ], "input_face_videos": [ "https://hub.oxen.ai/api/repos/ox/Oxen-AI-Assets/file/main/images/winter_summer_ox.mp4" ], "input_videos": [ "https://hub.oxen.ai/api/repos/ox/Oxen-AI-Assets/file/main/images/winter_summer_ox.mp4" ], "input_audios": [ "https://example.com/audio.mp3" ], "resolution": "720p", "duration": "auto", "aspect_ratio": "adaptive", "generate_audio": true, "output_format": "mp4", "watermark": false }, ) response.raise_for_status() print(response.json()) ``` See the [async queue reference](/inference-api/reference/async_queue) for more details. ```bash cURL theme={null} # Enqueue, capture the generation id. GEN_ID=$(curl -s -X POST https://hub.oxen.ai/api/ai/queue \ -H "Content-Type: application/json" \ -H "Authorization: Bearer $OXEN_API_KEY" \ -d '{ "model": "bytedance-seedance-2-5-reference-to-video", "prompt": "" }' | jq -r '.generations[0].generation_id') # Poll until the generation reaches a terminal status. while true; do STATUS=$(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 . ``` ```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": "bytedance-seedance-2-5-reference-to-video", "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')}") ``` ```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 $OXEN_API_KEY" \ -d '{ "model": "bytedance-seedance-2-5-reference-to-video", "prompt": "", "input_face_images": [ "https://hub.oxen.ai/api/repos/elau/assets/file/main/bloxy/bloxy_cropped_512x512.png" ], "input_images": [ "https://hub.oxen.ai/api/repos/elau/assets/file/main/bloxy/bloxy_cropped_512x512.png" ], "input_face_videos": [ "https://hub.oxen.ai/api/repos/ox/Oxen-AI-Assets/file/main/images/winter_summer_ox.mp4" ], "input_videos": [ "https://hub.oxen.ai/api/repos/ox/Oxen-AI-Assets/file/main/images/winter_summer_ox.mp4" ], "input_audios": [ "https://example.com/audio.mp3" ] }' | jq -r '.generations[0].generation_id') # Poll until the generation reaches a terminal status. while true; do STATUS=$(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": "bytedance-seedance-2-5-reference-to-video", "prompt": "", "input_face_images": [ "https://hub.oxen.ai/api/repos/elau/assets/file/main/bloxy/bloxy_cropped_512x512.png" ], "input_images": [ "https://hub.oxen.ai/api/repos/elau/assets/file/main/bloxy/bloxy_cropped_512x512.png" ], "input_face_videos": [ "https://hub.oxen.ai/api/repos/ox/Oxen-AI-Assets/file/main/images/winter_summer_ox.mp4" ], "input_videos": [ "https://hub.oxen.ai/api/repos/ox/Oxen-AI-Assets/file/main/images/winter_summer_ox.mp4" ], "input_audios": [ "https://example.com/audio.mp3" ] }, ) 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')}") ``` ```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 $OXEN_API_KEY" \ -d '{ "model": "bytedance-seedance-2-5-reference-to-video", "prompt": "", "input_face_images": [ "https://hub.oxen.ai/api/repos/elau/assets/file/main/bloxy/bloxy_cropped_512x512.png" ], "input_images": [ "https://hub.oxen.ai/api/repos/elau/assets/file/main/bloxy/bloxy_cropped_512x512.png" ], "input_face_videos": [ "https://hub.oxen.ai/api/repos/ox/Oxen-AI-Assets/file/main/images/winter_summer_ox.mp4" ], "input_videos": [ "https://hub.oxen.ai/api/repos/ox/Oxen-AI-Assets/file/main/images/winter_summer_ox.mp4" ], "input_audios": [ "https://example.com/audio.mp3" ], "resolution": "720p", "duration": "auto", "aspect_ratio": "adaptive", "generate_audio": true, "output_format": "mp4", "watermark": false }' | jq -r '.generations[0].generation_id') # Poll until the generation reaches a terminal status. while true; do STATUS=$(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 . ``` ```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": "bytedance-seedance-2-5-reference-to-video", "prompt": "", "input_face_images": [ "https://hub.oxen.ai/api/repos/elau/assets/file/main/bloxy/bloxy_cropped_512x512.png" ], "input_images": [ "https://hub.oxen.ai/api/repos/elau/assets/file/main/bloxy/bloxy_cropped_512x512.png" ], "input_face_videos": [ "https://hub.oxen.ai/api/repos/ox/Oxen-AI-Assets/file/main/images/winter_summer_ox.mp4" ], "input_videos": [ "https://hub.oxen.ai/api/repos/ox/Oxen-AI-Assets/file/main/images/winter_summer_ox.mp4" ], "input_audios": [ "https://example.com/audio.mp3" ], "resolution": "720p", "duration": "auto", "aspect_ratio": "adaptive", "generate_audio": true, "output_format": "mp4", "watermark": false }, ) 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](/inference-api/reference/async_queue) for more details. ```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": "bytedance-seedance-2-5-reference-to-video", "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($0, 7) if (index(payload, "\"generation_id\":\"" id "\"")) { print payload; exit } expect = 0 } ' | jq . ``` ```python Python theme={null} import json import os import requests API_KEY = os.environ["OXEN_API_KEY"] AUTH = {"Authorization": f"Bearer {API_KEY}"} enqueue = requests.post( "https://hub.oxen.ai/api/ai/queue", headers={**AUTH, "Content-Type": "application/json"}, json={ "model": "bytedance-seedance-2-5-reference-to-video", "prompt": "" }, ) enqueue.raise_for_status() generation_id = enqueue.json()["generations"][0]["generation_id"] with requests.get( "https://hub.oxen.ai/api/events", headers=AUTH, stream=True, ) as stream: event_name = None for line in stream.iter_lines(decode_unicode=True): if line.startswith("event: "): event_name = line.removeprefix("event: ") elif line.startswith("data: ") and event_name == "media_generation_completed": payload = json.loads(line.removeprefix("data: ")) if payload.get("generation_id") == generation_id: print(payload) break ``` ```bash cURL theme={null} # Enqueue, capture the generation id. GEN_ID=$(curl -s -X POST https://hub.oxen.ai/api/ai/queue \ -H "Content-Type: application/json" \ -H "Authorization: Bearer $OXEN_API_KEY" \ -d '{ "model": "bytedance-seedance-2-5-reference-to-video", "prompt": "", "input_face_images": [ "https://hub.oxen.ai/api/repos/elau/assets/file/main/bloxy/bloxy_cropped_512x512.png" ], "input_images": [ "https://hub.oxen.ai/api/repos/elau/assets/file/main/bloxy/bloxy_cropped_512x512.png" ], "input_face_videos": [ "https://hub.oxen.ai/api/repos/ox/Oxen-AI-Assets/file/main/images/winter_summer_ox.mp4" ], "input_videos": [ "https://hub.oxen.ai/api/repos/ox/Oxen-AI-Assets/file/main/images/winter_summer_ox.mp4" ], "input_audios": [ "https://example.com/audio.mp3" ] }' | 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($0, 7) if (index(payload, "\"generation_id\":\"" id "\"")) { print payload; exit } expect = 0 } ' | jq . ``` ```python Python theme={null} import json import os import requests API_KEY = os.environ["OXEN_API_KEY"] AUTH = {"Authorization": f"Bearer {API_KEY}"} enqueue = requests.post( "https://hub.oxen.ai/api/ai/queue", headers={**AUTH, "Content-Type": "application/json"}, json={ "model": "bytedance-seedance-2-5-reference-to-video", "prompt": "", "input_face_images": [ "https://hub.oxen.ai/api/repos/elau/assets/file/main/bloxy/bloxy_cropped_512x512.png" ], "input_images": [ "https://hub.oxen.ai/api/repos/elau/assets/file/main/bloxy/bloxy_cropped_512x512.png" ], "input_face_videos": [ "https://hub.oxen.ai/api/repos/ox/Oxen-AI-Assets/file/main/images/winter_summer_ox.mp4" ], "input_videos": [ "https://hub.oxen.ai/api/repos/ox/Oxen-AI-Assets/file/main/images/winter_summer_ox.mp4" ], "input_audios": [ "https://example.com/audio.mp3" ] }, ) enqueue.raise_for_status() generation_id = enqueue.json()["generations"][0]["generation_id"] with requests.get( "https://hub.oxen.ai/api/events", headers=AUTH, stream=True, ) as stream: event_name = None for line in stream.iter_lines(decode_unicode=True): if line.startswith("event: "): event_name = line.removeprefix("event: ") elif line.startswith("data: ") and event_name == "media_generation_completed": payload = json.loads(line.removeprefix("data: ")) if payload.get("generation_id") == generation_id: print(payload) break ``` ```bash cURL theme={null} # Enqueue, capture the generation id. GEN_ID=$(curl -s -X POST https://hub.oxen.ai/api/ai/queue \ -H "Content-Type: application/json" \ -H "Authorization: Bearer $OXEN_API_KEY" \ -d '{ "model": "bytedance-seedance-2-5-reference-to-video", "prompt": "", "input_face_images": [ "https://hub.oxen.ai/api/repos/elau/assets/file/main/bloxy/bloxy_cropped_512x512.png" ], "input_images": [ "https://hub.oxen.ai/api/repos/elau/assets/file/main/bloxy/bloxy_cropped_512x512.png" ], "input_face_videos": [ "https://hub.oxen.ai/api/repos/ox/Oxen-AI-Assets/file/main/images/winter_summer_ox.mp4" ], "input_videos": [ "https://hub.oxen.ai/api/repos/ox/Oxen-AI-Assets/file/main/images/winter_summer_ox.mp4" ], "input_audios": [ "https://example.com/audio.mp3" ], "resolution": "720p", "duration": "auto", "aspect_ratio": "adaptive", "generate_audio": true, "output_format": "mp4", "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 . ``` ```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": "bytedance-seedance-2-5-reference-to-video", "prompt": "", "input_face_images": [ "https://hub.oxen.ai/api/repos/elau/assets/file/main/bloxy/bloxy_cropped_512x512.png" ], "input_images": [ "https://hub.oxen.ai/api/repos/elau/assets/file/main/bloxy/bloxy_cropped_512x512.png" ], "input_face_videos": [ "https://hub.oxen.ai/api/repos/ox/Oxen-AI-Assets/file/main/images/winter_summer_ox.mp4" ], "input_videos": [ "https://hub.oxen.ai/api/repos/ox/Oxen-AI-Assets/file/main/images/winter_summer_ox.mp4" ], "input_audios": [ "https://example.com/audio.mp3" ], "resolution": "720p", "duration": "auto", "aspect_ratio": "adaptive", "generate_audio": true, "output_format": "mp4", "watermark": false }, ) 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](/inference-api/reference/models/overview) 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/bytedance-seedance-2-5-reference-to-video ``` ## Request parameters ### Required parameters | Field | Type | Default | Description | | -------- | -------- | ------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | | `prompt` | `string` | — | The text prompt used to generate the video. Use @Image1, @Image2, @Video1, @Audio1, etc. to reference inputs. Face-containing media is indexed before non-face media within its type. | ### Optional parameters | Field | Type | Default | Description | | ------------------- | ----------------------- | ------------ | --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | | `input_face_images` | `array` | — | Place reference images here when they show a real human face. Content filters may block the request otherwise. | | `input_images` | `array` | — | Reference images that guide the generated video. Up to 30 total reference images may be used. | | `input_face_videos` | `array` | — | Place reference videos here when they show a real human face. Content filters may block the request otherwise. | | `input_videos` | `array` | — | Reference videos that guide the generated video. Up to 10 total reference videos may be used, each 2-30 seconds long with a combined duration of at most 30 seconds. | | `input_audios` | `array` | — | Reference audios that guide the generated video. Audio-only input is supported. Up to 10 reference audio clips may be used, each 2-30 seconds long with a combined duration of at most 30 seconds. | | `resolution` | `string` | `"720p"` | Video resolution. 480p for faster generation, 720p for higher quality. One of: 480p, 720p. | | `duration` | `['integer', 'string']` | `"auto"` | Duration of the video in seconds. Supports 4 to 30 seconds, or "auto" to let the model decide based on the inputs. Video editing tasks only support auto. One of: auto, 4, 5, 6, 8, 10, 12, 15, 20, 25, 30. | | `aspect_ratio` | `string` | `"adaptive"` | The aspect ratio of the generated video. Use auto to let the model decide from the inputs, 16:9 for landscape, 9:16 for portrait/vertical, 1:1 for square, or 21:9 for ultrawide cinematic. Video editing and extension tasks only support auto. One of: adaptive, 21:9, 16:9, 4:3, 1:1, 3:4, 9:16. | | `generate_audio` | `boolean` | `true` | Whether to generate synchronized audio. | | `output_format` | `string` | `"mp4"` | Output video format. mp4 for broad compatibility, mov for high color precision in professional post-production workflows. For video editing and extension, mov input and output is recommended. One of: mp4, mov. | | `watermark` | `boolean` | `false` | Whether to add an 'AI generated' watermark to the output. |