fofr/3d-juggernaut-lcm:2253ffe1 | Run with an API on Replicate

Version

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fofr /3d-juggernaut-lcm:2253ffe1

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";
import fs from "node:fs";

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.