garg-aayush/jasper-flux-dev-controlnet:2d0cb6d4

Version

You're looking at a specific version of this model. Jump to the model overview.

garg-aayush /jasper-flux-dev-controlnet:2d0cb6d4

Playground API

Input

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

npx create-replicate --model=garg-aayush/jasper-flux-dev-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";
import fs from "node:fs";

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

Run garg-aayush/jasper-flux-dev-controlnet using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "garg-aayush/jasper-flux-dev-controlnet:2d0cb6d47c398aba88778a7563c005606937067109976762bd511d5204bbb1b6",
  {
    input: {
      scale_factor: 4,
      guidance_scale: 3.5,
      num_inference_steps: 28,
      controlnet_conditioning_scale: 0.6
    }
  }
);

// To access the file URL:
console.log(output[0].url()); //=> "http://example.com"

// To write the file to disk:
fs.writeFile("my-image.png", output[0]);

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 garg-aayush/jasper-flux-dev-controlnet using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "garg-aayush/jasper-flux-dev-controlnet:2d0cb6d47c398aba88778a7563c005606937067109976762bd511d5204bbb1b6",
    input={
        "scale_factor": 4,
        "guidance_scale": 3.5,
        "num_inference_steps": 28,
        "controlnet_conditioning_scale": 0.6
    }
)

# To access the file URL:
print(output[0].url())
#=> "http://example.com"

# To write the file to disk:
with open("my-image.png", "wb") as file:
    file.write(output[0].read())

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 garg-aayush/jasper-flux-dev-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": "garg-aayush/jasper-flux-dev-controlnet:2d0cb6d47c398aba88778a7563c005606937067109976762bd511d5204bbb1b6",
    "input": {
      "scale_factor": 4,
      "guidance_scale": 3.5,
      "num_inference_steps": 28,
      "controlnet_conditioning_scale": 0.6
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

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