crdbello/cblabs:0f31d875 – Run with an API on Replicate

Version

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crdbello /cblabs:0f31d875

Playground API

Input

image

*file

Initial image to generate variations of.

prompt

string

Shift + Return to add a new line

Input prompt

Default: "a bedroom"

negative_prompt

string

Shift + Return to add a new line

Specify things to not see in the output

width

integer

Width of the output image

height

integer

Height of the output image

num_outputs

integer

(minimum: 1, maximum: 8)

Number of images to output.

Default: 1

num_inference_steps

integer

(minimum: 1, maximum: 500)

Number of sampling steps

Default: 50

guidance_scale

number

(minimum: 1, maximum: 20)

Scale for classifier-free guidance

Default: 5

denoising_strength

number

(minimum: 0, maximum: 1)

Control how much to preserve of the original image (0.0 to 1.0)

Default: 0.8

seed

integer

Random seed. Leave blank to randomize the seed

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

npx create-replicate --model=crdbello/cblabs

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 crdbello/cblabs using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "crdbello/cblabs:0f31d8757554fcb1d75689d704d8a5979048719398b3225ad0aefa2b539f17e3",
  {
    input: {
      prompt: "a bedroom",
      num_outputs: 1,
      guidance_scale: 5,
      denoising_strength: 0.8,
      num_inference_steps: 50
    }
  }
);

// 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 crdbello/cblabs using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "crdbello/cblabs:0f31d8757554fcb1d75689d704d8a5979048719398b3225ad0aefa2b539f17e3",
    input={
        "prompt": "a bedroom",
        "num_outputs": 1,
        "guidance_scale": 5,
        "denoising_strength": 0.8,
        "num_inference_steps": 50
    }
)
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 crdbello/cblabs 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": "0f31d8757554fcb1d75689d704d8a5979048719398b3225ad0aefa2b539f17e3",
    "input": {
      "prompt": "a bedroom",
      "num_outputs": 1,
      "guidance_scale": 5,
      "denoising_strength": 0.8,
      "num_inference_steps": 50
    }
  }' \
  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.