camenduru/visual-style-prompting-controlnet:bfd1dedb

Version

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camenduru /visual-style-prompting-controlnet:bfd1dedb

Playground API

Input

Run this model in Node.js with one line of code:

npx create-replicate --model=camenduru/visual-style-prompting-controlnet

or set up a project from scratch

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 camenduru/visual-style-prompting-controlnet using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "camenduru/visual-style-prompting-controlnet:bfd1dedbb46545a191b3a42b5f3778d6c97fa6b6c0283de7d099403c05560b65",
  {
    input: {
      prompt: "",
      style_name: "fire",
      diffusion_steps: 50,
      controlnet_scale: 0.5
    }
  }
);
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 camenduru/visual-style-prompting-controlnet using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "camenduru/visual-style-prompting-controlnet:bfd1dedbb46545a191b3a42b5f3778d6c97fa6b6c0283de7d099403c05560b65",
    input={
        "prompt": "",
        "style_name": "fire",
        "diffusion_steps": 50,
        "controlnet_scale": 0.5
    }
)
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 camenduru/visual-style-prompting-controlnet 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 $'{
    "version": "bfd1dedbb46545a191b3a42b5f3778d6c97fa6b6c0283de7d099403c05560b65",
    "input": {
      "prompt": "",
      "style_name": "fire",
      "diffusion_steps": 50,
      "controlnet_scale": 0.5
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Install Cog

brew install cog

If you don’t have Homebrew, there are other installation options available.

Pull and run camenduru/visual-style-prompting-controlnet using Cog (this will download the full model and run it in your local environment):

cog predict r8.im/camenduru/visual-style-prompting-controlnet@sha256:bfd1dedbb46545a191b3a42b5f3778d6c97fa6b6c0283de7d099403c05560b65 \
  -i 'prompt=""' \
  -i 'style_name="fire"' \
  -i 'diffusion_steps=50' \
  -i 'controlnet_scale=0.5'

To learn more, take a look at the Cog documentation.

Pull and run camenduru/visual-style-prompting-controlnet using Docker (this will download the full model and run it in your local environment):

docker run -d -p 5000:5000 r8.im/camenduru/visual-style-prompting-controlnet@sha256:bfd1dedbb46545a191b3a42b5f3778d6c97fa6b6c0283de7d099403c05560b65
curl -s -X POST \
  -H "Content-Type: application/json" \
  -d $'{
    "input": {
      "prompt": "",
      "style_name": "fire",
      "diffusion_steps": 50,
      "controlnet_scale": 0.5
    }
  }' \
  http://localhost:5000/predictions

Output

No output yet! Press "Submit" to start a prediction.