zelenioncode/5c84d51e-7de4-4e33-bc0f-64bac36636c2

Input

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

npx create-replicate --model=zelenioncode/5c84d51e-7de4-4e33-bc0f-64bac36636c2

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 zelenioncode/5c84d51e-7de4-4e33-bc0f-64bac36636c2 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "zelenioncode/5c84d51e-7de4-4e33-bc0f-64bac36636c2:e303d6e7d63ed7eb63cb934ad6692f96522254bcda3928d55f5f88e2cf0bad40",
  {
    input: {
      input: "docker",
      gender: "man",
      product_id: "None",
      safetensors: "https://huggingface.co/SG161222/RealVisXL_V4.0/resolve/main/RealVisXL_V4.0.safetensors?download=true",
      use_webhook: true,
      index_picture: 0
    }
  }
);

// 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 zelenioncode/5c84d51e-7de4-4e33-bc0f-64bac36636c2 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "zelenioncode/5c84d51e-7de4-4e33-bc0f-64bac36636c2:e303d6e7d63ed7eb63cb934ad6692f96522254bcda3928d55f5f88e2cf0bad40",
    input={
        "input": "docker",
        "gender": "man",
        "product_id": "None",
        "safetensors": "https://huggingface.co/SG161222/RealVisXL_V4.0/resolve/main/RealVisXL_V4.0.safetensors?download=true",
        "use_webhook": True,
        "index_picture": 0
    }
)

# 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 zelenioncode/5c84d51e-7de4-4e33-bc0f-64bac36636c2 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": "zelenioncode/5c84d51e-7de4-4e33-bc0f-64bac36636c2:e303d6e7d63ed7eb63cb934ad6692f96522254bcda3928d55f5f88e2cf0bad40",
    "input": {
      "input": "docker",
      "gender": "man",
      "product_id": "None",
      "safetensors": "https://huggingface.co/SG161222/RealVisXL_V4.0/resolve/main/RealVisXL_V4.0.safetensors?download=true",
      "use_webhook": true,
      "index_picture": 0
    }
  }' \
  https://api.replicate.com/v1/predictions

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

You can run this model locally using Cog. First, install Cog:

brew install cog

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

Run this to download the model and run it in your local environment:

cog predict r8.im/zelenioncode/5c84d51e-7de4-4e33-bc0f-64bac36636c2@sha256:e303d6e7d63ed7eb63cb934ad6692f96522254bcda3928d55f5f88e2cf0bad40 \
  -i 'input="docker"' \
  -i 'gender="man"' \
  -i 'product_id="None"' \
  -i 'safetensors="https://huggingface.co/SG161222/RealVisXL_V4.0/resolve/main/RealVisXL_V4.0.safetensors?download=true"' \
  -i 'use_webhook=true' \
  -i 'index_picture=0'

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

Run this to download the model and run it in your local environment:

docker run -d -p 5000:5000 --gpus=all r8.im/zelenioncode/5c84d51e-7de4-4e33-bc0f-64bac36636c2@sha256:e303d6e7d63ed7eb63cb934ad6692f96522254bcda3928d55f5f88e2cf0bad40
curl -s -X POST \
  -H "Content-Type: application/json" \
  -d $'{
    "input": {
      "input": "docker",
      "gender": "man",
      "product_id": "None",
      "safetensors": "https://huggingface.co/SG161222/RealVisXL_V4.0/resolve/main/RealVisXL_V4.0.safetensors?download=true",
      "use_webhook": true,
      "index_picture": 0
    }
  }' \
  http://localhost:5000/predictions

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

Output

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

Run time and cost

This model runs on Nvidia L40S GPU hardware. We don't yet have enough runs of this model to provide performance information.

Readme

This model doesn't have a readme.