Kling 2.6 Pro - Image to Video

Try Kling 2.6 Pro - Image to Video in the Workbench

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

Model ID: kling-video-v2-6-pro-image-to-video Kling 2.6 Pro - Image to Video is a Diffusion model designed for generating short video clips from a static input image. It excels in producing motion with visual consistency from the reference image, along with optional synchronized native audio including sound effects and dialogue. Some other noteworthy features of Kling 2.6 Pro - Image to Video include support for 1080p resolution in 16:9, 9:16, or 1:1 aspect ratios, and clip durations of 5 or 10 seconds.

Metric	Value
Parameter Count	Unknown
Mixture of Experts	Unknown
Context Length	Unknown
Multilingual	No
Quantized*	Unknown

*Quantization is specific to the inference provider and the model may be offered with different quantization levels by other providers.

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": "kling-video-v2-6-pro-image-to-video",
  "prompt": "A man making it to the summit on top of a mountain. The man raises his arms in victory and exhales a sigh of relief."
}'

curl -X POST https://hub.oxen.ai/api/ai/videos/generate \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $OXEN_API_KEY" \
  -d '{
  "model": "kling-video-v2-6-pro-image-to-video",
  "prompt": "A man making it to the summit on top of a mountain. The man raises his arms in victory and exhales a sigh of relief.",
  "input_image": "https://hub.oxen.ai/api/repos/ox/Oxen-AI-Assets/file/main/images/man-hiking.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": "kling-video-v2-6-pro-image-to-video",
  "prompt": "A man making it to the summit on top of a mountain. The man raises his arms in victory and exhales a sigh of relief.",
  "input_image": "https://hub.oxen.ai/api/repos/ox/Oxen-AI-Assets/file/main/images/man-hiking.png",
  "negative_prompt": "blur, distort, and low quality",
  "duration": 5,
  "generate_audio": 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": "kling-video-v2-6-pro-image-to-video",
  "prompt": "A man making it to the summit on top of a mountain. The man raises his arms in victory and exhales a sigh of relief."
}' | jq -r '.generations[0].generation_id')

# Poll the single generation until it 404s (terminal state).
while curl -s -o /dev/null -w "%{http_code}" \
    -H "Authorization: Bearer $OXEN_API_KEY" \
    "https://hub.oxen.ai/api/ai/queue/$GEN_ID" | grep -q "^200$"; do
  sleep 5
done
echo "Done. See the 'Async with SSE' tab to receive the result URL."

# 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": "kling-video-v2-6-pro-image-to-video",
  "prompt": "A man making it to the summit on top of a mountain. The man raises his arms in victory and exhales a sigh of relief.",
  "input_image": "https://hub.oxen.ai/api/repos/ox/Oxen-AI-Assets/file/main/images/man-hiking.png"
}' | jq -r '.generations[0].generation_id')

# Poll the single generation until it 404s (terminal state).
while curl -s -o /dev/null -w "%{http_code}" \
    -H "Authorization: Bearer $OXEN_API_KEY" \
    "https://hub.oxen.ai/api/ai/queue/$GEN_ID" | grep -q "^200$"; do
  sleep 5
done
echo "Done. See the 'Async with SSE' tab to receive the result URL."

# 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": "kling-video-v2-6-pro-image-to-video",
  "prompt": "A man making it to the summit on top of a mountain. The man raises his arms in victory and exhales a sigh of relief.",
  "input_image": "https://hub.oxen.ai/api/repos/ox/Oxen-AI-Assets/file/main/images/man-hiking.png",
  "negative_prompt": "blur, distort, and low quality",
  "duration": 5,
  "generate_audio": false
}' | jq -r '.generations[0].generation_id')

# Poll the single generation until it 404s (terminal state).
while curl -s -o /dev/null -w "%{http_code}" \
    -H "Authorization: Bearer $OXEN_API_KEY" \
    "https://hub.oxen.ai/api/ai/queue/$GEN_ID" | grep -q "^200$"; do
  sleep 5
done
echo "Done. See the 'Async with SSE' tab to receive the result URL."

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": "kling-video-v2-6-pro-image-to-video",
  "prompt": "A man making it to the summit on top of a mountain. The man raises his arms in victory and exhales a sigh of relief."
}' | 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": "kling-video-v2-6-pro-image-to-video",
  "prompt": "A man making it to the summit on top of a mountain. The man raises his arms in victory and exhales a sigh of relief.",
  "input_image": "https://hub.oxen.ai/api/repos/ox/Oxen-AI-Assets/file/main/images/man-hiking.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": "kling-video-v2-6-pro-image-to-video",
  "prompt": "A man making it to the summit on top of a mountain. The man raises his arms in victory and exhales a sigh of relief.",
  "input_image": "https://hub.oxen.ai/api/repos/ox/Oxen-AI-Assets/file/main/images/man-hiking.png",
  "negative_prompt": "blur, distort, and low quality",
  "duration": 5,
  "generate_audio": 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/kling-video-v2-6-pro-image-to-video

Request parameters

Required parameters

Field	Type	Default	Description
`prompt`	`string`	`"A man making it to the summit on top of a mountain. The man raises his arms in victory and exhales a sigh of relief."`	Text description of what you want to generate, or the instruction on how to edit the given image.

Optional parameters

Field	Type	Default	Description
`input_image`	`string`	`"https://hub.oxen.ai/api/repos/ox/Oxen-AI-Assets/file/main/images/man-hiking.png"`	Image to use as reference. Must be jpeg, png, gif, or webp. Format: uri.
`negative_prompt`	`string`	`"blur, distort, and low quality"`	Text description of what you do not want the model to do.
`duration`	`integer`	`5`	Video duration in seconds One of: 5, 10.
`generate_audio`	`boolean`	`false`	Generate audio with the video.

Inference API

Try Kling 2.6 Pro - 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