fofr/3d-juggernaut-lcm – Run with an API on Replicate

fofr / 3d-juggernaut-lcm

Cold

Public
14.7K runs
A100 (80GB)

Iterate in playground

Run with an API

Playground API Examples README Versions

Input

prompt

string

Shift + Return to add a new line

3D Render Style, 3DRenderAF, unreal engine, video game, pixelated, low poly3D Render Style, 3DRenderAF, unreal engine, video game, pixelated, low poly

Default: "3D Render Style, 3DRenderAF, unreal engine, video game, pixelated, low poly"

negative_prompt

string

Shift + Return to add a new line

Things you do not want to see in your image

Default: "photo, photography, realistic"

image

*file

An input image

max_width

integer

The maximum width of the image

Default: 512

max_height

integer

The maximum height of the image

Default: 512

checkpoint

string

Shift + Return to add a new line

The checkpoint to use

Default: "juggernaut_reborn.safetensors"

output_format

string

Format of the output images

Default: "webp"

output_quality

integer

(minimum: 0, maximum: 100)

Quality of the output images, from 0 to 100. 100 is best quality, 0 is lowest quality.

Default: 80

seed

integer

Set a seed for reproducibility. Random by default.

steps

integer

The number of steps to take

Default: 4

cfg

number

The CFG

Default: 1

denoise

number

The denoise

Default: 0.65

lora

string

The lora to use

Default: "RW_PS1v1.safetensors"

lora_strength

number

The strength of the lora

Default: 2

lcm_lora_strength

number

The strength of the LCM lora

Default: 1.5

control_strength

number

The strength of the control net

Default: 0.5

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

npx create-replicate --model=fofr/3d-juggernaut-lcm

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 fofr/3d-juggernaut-lcm using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "fofr/3d-juggernaut-lcm:2253ffe1fbf19a1c92172e7c8b72b9aade22646ae6a5da9d13f7efa83de82c91",
  {
    input: {
      cfg: 1,
      lora: "RW_PS1v1.safetensors",
      steps: 4,
      prompt: "3D Render Style, 3DRenderAF, unreal engine, video game, pixelated, low poly",
      denoise: 0.65,
      max_width: 512,
      checkpoint: "juggernaut_reborn.safetensors",
      max_height: 512,
      lora_strength: 2,
      output_format: "webp",
      output_quality: 80,
      negative_prompt: "photo, photography, realistic",
      control_strength: 0.5,
      lcm_lora_strength: 1.5
    }
  }
);

// 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 fofr/3d-juggernaut-lcm using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "fofr/3d-juggernaut-lcm:2253ffe1fbf19a1c92172e7c8b72b9aade22646ae6a5da9d13f7efa83de82c91",
    input={
        "cfg": 1,
        "lora": "RW_PS1v1.safetensors",
        "steps": 4,
        "prompt": "3D Render Style, 3DRenderAF, unreal engine, video game, pixelated, low poly",
        "denoise": 0.65,
        "max_width": 512,
        "checkpoint": "juggernaut_reborn.safetensors",
        "max_height": 512,
        "lora_strength": 2,
        "output_format": "webp",
        "output_quality": 80,
        "negative_prompt": "photo, photography, realistic",
        "control_strength": 0.5,
        "lcm_lora_strength": 1.5
    }
)
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 fofr/3d-juggernaut-lcm 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": "fofr/3d-juggernaut-lcm:2253ffe1fbf19a1c92172e7c8b72b9aade22646ae6a5da9d13f7efa83de82c91",
    "input": {
      "cfg": 1,
      "lora": "RW_PS1v1.safetensors",
      "steps": 4,
      "prompt": "3D Render Style, 3DRenderAF, unreal engine, video game, pixelated, low poly",
      "denoise": 0.65,
      "max_width": 512,
      "checkpoint": "juggernaut_reborn.safetensors",
      "max_height": 512,
      "lora_strength": 2,
      "output_format": "webp",
      "output_quality": 80,
      "negative_prompt": "photo, photography, realistic",
      "control_strength": 0.5,
      "lcm_lora_strength": 1.5
    }
  }' \
  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.

Run time and cost

This model costs approximately $0.060 to run on Replicate, or 16 runs per $1, but this varies depending on your inputs. It is also open source and you can run it on your own computer with Docker.

This model runs on Nvidia A100 (80GB) GPU hardware. Predictions typically complete within 43 seconds. The predict time for this model varies significantly based on the inputs.

Readme

This model doesn't have a readme.