Prediction

kwaivgi/kling-v1.6-standard

Official model

kwaivgi/kling-v1.6-standard

ID

khbd1gvpx5rg80cmk0qay68a40

Status

Succeeded

Source

Web

Total duration

5m 38s

Created

about 2 months ago

Input

prompt: Teenager skateboarding through city rain, motion blur, cinematic shot, hyperrealistic photo, 8K, Canon EOS R5
duration: 5
cfg_scale: 0.5
aspect_ratio: 1:1
negative_prompt

{
  "prompt": "Teenager skateboarding through city rain, motion blur, cinematic shot, hyperrealistic photo, 8K, Canon EOS R5",
  "duration": 5,
  "cfg_scale": 0.5,
  "aspect_ratio": "1:1",
  "negative_prompt": ""
}

Install Replicate’s Node.js client library

npm install replicate

Set the REPLICATE_API_TOKEN environment variable

export REPLICATE_API_TOKEN=<paste-your-token-here>

Find your API token in your account settings.

Import and set up the client

import Replicate from "replicate";

const replicate = new Replicate({
  auth: process.env.REPLICATE_API_TOKEN,
});

Run kwaivgi/kling-v1.6-standard using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const input = {
  prompt: "Teenager skateboarding through city rain, motion blur, cinematic shot, hyperrealistic photo, 8K, Canon EOS R5",
  duration: 5,
  cfg_scale: 0.5,
  aspect_ratio: "1:1",
  negative_prompt: ""
};

const output = await replicate.run("kwaivgi/kling-v1.6-standard", { input });
console.log(output);

To learn more, take a look at the guide on getting started with Node.js.

Install Replicate’s Python client library

pip install replicate

Set the REPLICATE_API_TOKEN environment variable

export REPLICATE_API_TOKEN=<paste-your-token-here>

Find your API token in your account settings.

Import the client

import replicate

Run kwaivgi/kling-v1.6-standard using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "kwaivgi/kling-v1.6-standard",
    input={
        "prompt": "Teenager skateboarding through city rain, motion blur, cinematic shot, hyperrealistic photo, 8K, Canon EOS R5",
        "duration": 5,
        "cfg_scale": 0.5,
        "aspect_ratio": "1:1",
        "negative_prompt": ""
    }
)
print(output)

To learn more, take a look at the guide on getting started with Python.

Set the REPLICATE_API_TOKEN environment variable

export REPLICATE_API_TOKEN=<paste-your-token-here>

Find your API token in your account settings.

Run kwaivgi/kling-v1.6-standard using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

curl -s -X POST \
  -H "Authorization: Bearer $REPLICATE_API_TOKEN" \
  -H "Content-Type: application/json" \
  -H "Prefer: wait" \
  -d $'{
    "input": {
      "prompt": "Teenager skateboarding through city rain, motion blur, cinematic shot, hyperrealistic photo, 8K, Canon EOS R5",
      "duration": 5,
      "cfg_scale": 0.5,
      "aspect_ratio": "1:1",
      "negative_prompt": ""
    }
  }' \
  https://api.replicate.com/v1/models/kwaivgi/kling-v1.6-standard/predictions

To learn more, take a look at Replicate’s HTTP API reference docs.

Output

Generated in

5 minutes 38 seconds

Tweak it Share

Prediction

kwaivgi/kling-v1.6-standard

Official model

kwaivgi/kling-v1.6-standard

ID

ytv3219phhrgc0cmk0ev1kq9f0

Status

Succeeded

Source

Web

Total duration

6m 22s

Created

about 2 months ago

Input

prompt: Teenager skateboarding through city rain, motion blur, cinematic shot, hyperrealistic photo, 8K, Canon EOS R5
duration: 5
cfg_scale: 0.5
aspect_ratio: 1:1
negative_prompt

{
  "prompt": "Teenager skateboarding through city rain, motion blur, cinematic shot, hyperrealistic photo, 8K, Canon EOS R5",
  "duration": 5,
  "cfg_scale": 0.5,
  "aspect_ratio": "1:1",
  "negative_prompt": ""
}

Install Replicate’s Node.js client library

npm install replicate

Set the REPLICATE_API_TOKEN environment variable

export REPLICATE_API_TOKEN=<paste-your-token-here>

Find your API token in your account settings.

Import and set up the client

import Replicate from "replicate";

const replicate = new Replicate({
  auth: process.env.REPLICATE_API_TOKEN,
});

Run kwaivgi/kling-v1.6-standard using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const input = {
  prompt: "Teenager skateboarding through city rain, motion blur, cinematic shot, hyperrealistic photo, 8K, Canon EOS R5",
  duration: 5,
  cfg_scale: 0.5,
  aspect_ratio: "1:1",
  negative_prompt: ""
};

const output = await replicate.run("kwaivgi/kling-v1.6-standard", { input });
console.log(output);

To learn more, take a look at the guide on getting started with Node.js.

Install Replicate’s Python client library

pip install replicate

Set the REPLICATE_API_TOKEN environment variable

export REPLICATE_API_TOKEN=<paste-your-token-here>

Find your API token in your account settings.

Import the client

import replicate

Run kwaivgi/kling-v1.6-standard using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "kwaivgi/kling-v1.6-standard",
    input={
        "prompt": "Teenager skateboarding through city rain, motion blur, cinematic shot, hyperrealistic photo, 8K, Canon EOS R5",
        "duration": 5,
        "cfg_scale": 0.5,
        "aspect_ratio": "1:1",
        "negative_prompt": ""
    }
)
print(output)

To learn more, take a look at the guide on getting started with Python.

Set the REPLICATE_API_TOKEN environment variable

export REPLICATE_API_TOKEN=<paste-your-token-here>

Find your API token in your account settings.

Run kwaivgi/kling-v1.6-standard using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

curl -s -X POST \
  -H "Authorization: Bearer $REPLICATE_API_TOKEN" \
  -H "Content-Type: application/json" \
  -H "Prefer: wait" \
  -d $'{
    "input": {
      "prompt": "Teenager skateboarding through city rain, motion blur, cinematic shot, hyperrealistic photo, 8K, Canon EOS R5",
      "duration": 5,
      "cfg_scale": 0.5,
      "aspect_ratio": "1:1",
      "negative_prompt": ""
    }
  }' \
  https://api.replicate.com/v1/models/kwaivgi/kling-v1.6-standard/predictions

To learn more, take a look at Replicate’s HTTP API reference docs.

Output

Generated in

6 minutes 22 seconds

Tweak it Share

Prediction

kwaivgi/kling-v1.6-standard

Official model

kwaivgi/kling-v1.6-standard

ID

pmgav974nhrg80cmn0g96jc900

Status

Succeeded

Source

Web

Total duration

3m 40s

Created

about 2 months ago

Input

prompt: a portrait photo of a woman underwater with flowing hair
duration: 5
cfg_scale: 0.5
start_image
aspect_ratio: 16:9
negative_prompt

{
  "prompt": "a portrait photo of a woman underwater with flowing hair",
  "duration": 5,
  "cfg_scale": 0.5,
  "start_image": "https://replicate.delivery/pbxt/MNRKHnYUu5HjNqEerj2kxWRmUD3xWGaZ0gJmhqVbkra2jCbD/underwater.jpeg",
  "aspect_ratio": "16:9",
  "negative_prompt": ""
}

Install Replicate’s Node.js client library

npm install replicate

Set the REPLICATE_API_TOKEN environment variable

export REPLICATE_API_TOKEN=<paste-your-token-here>

Find your API token in your account settings.

Import and set up the client

import Replicate from "replicate";

const replicate = new Replicate({
  auth: process.env.REPLICATE_API_TOKEN,
});

Run kwaivgi/kling-v1.6-standard using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const input = {
  prompt: "a portrait photo of a woman underwater with flowing hair",
  duration: 5,
  cfg_scale: 0.5,
  start_image: "https://replicate.delivery/pbxt/MNRKHnYUu5HjNqEerj2kxWRmUD3xWGaZ0gJmhqVbkra2jCbD/underwater.jpeg",
  aspect_ratio: "16:9",
  negative_prompt: ""
};

const output = await replicate.run("kwaivgi/kling-v1.6-standard", { input });
console.log(output);

To learn more, take a look at the guide on getting started with Node.js.

Install Replicate’s Python client library

pip install replicate

Set the REPLICATE_API_TOKEN environment variable

export REPLICATE_API_TOKEN=<paste-your-token-here>

Find your API token in your account settings.

Import the client

import replicate

Run kwaivgi/kling-v1.6-standard using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "kwaivgi/kling-v1.6-standard",
    input={
        "prompt": "a portrait photo of a woman underwater with flowing hair",
        "duration": 5,
        "cfg_scale": 0.5,
        "start_image": "https://replicate.delivery/pbxt/MNRKHnYUu5HjNqEerj2kxWRmUD3xWGaZ0gJmhqVbkra2jCbD/underwater.jpeg",
        "aspect_ratio": "16:9",
        "negative_prompt": ""
    }
)
print(output)

To learn more, take a look at the guide on getting started with Python.

Set the REPLICATE_API_TOKEN environment variable

export REPLICATE_API_TOKEN=<paste-your-token-here>

Find your API token in your account settings.

Run kwaivgi/kling-v1.6-standard using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

curl -s -X POST \
  -H "Authorization: Bearer $REPLICATE_API_TOKEN" \
  -H "Content-Type: application/json" \
  -H "Prefer: wait" \
  -d $'{
    "input": {
      "prompt": "a portrait photo of a woman underwater with flowing hair",
      "duration": 5,
      "cfg_scale": 0.5,
      "start_image": "https://replicate.delivery/pbxt/MNRKHnYUu5HjNqEerj2kxWRmUD3xWGaZ0gJmhqVbkra2jCbD/underwater.jpeg",
      "aspect_ratio": "16:9",
      "negative_prompt": ""
    }
  }' \
  https://api.replicate.com/v1/models/kwaivgi/kling-v1.6-standard/predictions

To learn more, take a look at Replicate’s HTTP API reference docs.

Output

Generated in

3 minutes 6 seconds

Tweak it Share

kwaivgi / kling-v1.6-standard

Prediction

Input

Output

Prediction

Input

Output

Prediction

Input

Output

Logs (khbd1gvpx5rg80cmk0qay68a40)

Logs (ytv3219phhrgc0cmk0ev1kq9f0)

Logs (pmgav974nhrg80cmn0g96jc900)