asiryan/juggernaut-xl-v7 | Run with an API on Replicate

asiryan

juggernaut-xl-v7

Warm

Juggernaut XL v7 Model (Text2Img, Img2Img and Inpainting)

Public

439.9K runs

Run with an API

Playground API Examples README Versions

Input

prompt

string

Shift + Return to add a new line

A cute monster, colorful, clutter, ultra detailed, mysterious, scary, perfect environment, cinematic lighting, product photography, unreal engine, 8KA cute monster, colorful, clutter, ultra detailed, mysterious, scary, perfect environment, cinematic lighting, product photography, unreal engine, 8K

Input prompt

Default: "abstract beauty, centered, looking at the camera, approaching perfection, dynamic, moonlight, highly detailed, digital painting, artstation, concept art, smooth, sharp focus, illustration, art by Carne Griffiths and Wadim Kashin"

negative_prompt

string

Shift + Return to add a new line

(worst quality, low quality, normal quality, lowres, low details, oversaturated, undersaturated, overexposed, underexposed, grayscale, bw, bad photo, bad photography, bad art:1.4), (watermark, signature, text font, username, error, logo, words, letters, digits, autograph, trademark, name:1.2), (blur, blurry, grainy), morbid, ugly, asymmetrical, mutated malformed, mutilated, poorly lit, bad shadow, draft, cropped, out of frame, cut off, censored, jpeg artifacts, out of focus, glitch, duplicate, (airbrushed, cartoon, anime, semi-realistic, cgi, render, blender, digital art, manga, amateur:1.3), (3D ,3D Game, 3D Game Scene, 3D Character:1.1), (bad hands, bad anatomy, bad body, bad face, bad teeth, bad arms, bad legs, deformities:1.3)(worst quality, low quality, normal quality, lowres, low details, oversaturated, undersaturated, overexposed, underexposed, grayscale, bw, bad photo, bad photography, bad art:1.4), (watermark, signature, text font, username, error, logo, words, letters, digits, autograph, trademark, name:1.2), (blur, blurry, grainy), morbid, ugly, asymmetrical, mutated malformed, mutilated, poorly lit, bad shadow, draft, cropped, out of frame, cut off, censored, jpeg artifacts, out of focus, glitch, duplicate, (airbrushed, cartoon, anime, semi-realistic, cgi, render, blender, digital art, manga, amateur:1.3), (3D ,3D Game, 3D Game Scene, 3D Character:1.1), (bad hands, bad anatomy, bad body, bad face, bad teeth, bad arms, bad legs, deformities:1.3)

Negative Input prompt

Default: "(worst quality, low quality, normal quality, lowres, low details, oversaturated, undersaturated, overexposed, underexposed, grayscale, bw, bad photo, bad photography, bad art:1.4), (watermark, signature, text font, username, error, logo, words, letters, digits, autograph, trademark, name:1.2), (blur, blurry, grainy), morbid, ugly, asymmetrical, mutated malformed, mutilated, poorly lit, bad shadow, draft, cropped, out of frame, cut off, censored, jpeg artifacts, out of focus, glitch, duplicate, (airbrushed, cartoon, anime, semi-realistic, cgi, render, blender, digital art, manga, amateur:1.3), (3D ,3D Game, 3D Game Scene, 3D Character:1.1), (bad hands, bad anatomy, bad body, bad face, bad teeth, bad arms, bad legs, deformities:1.3)"

image

file

Input image for img2img or inpaint mode

mask

file

Input mask for inpaint mode. Black areas will be preserved, white areas will be inpainted.

width

integer

Width of output image

Default: 1024

height

integer

Height of output image

Default: 1024

num_outputs

integer

(minimum: 1, maximum: 4)

Number of images to output.

Default: 1

scheduler

string

scheduler

Default: "K_EULER_ANCESTRAL"

num_inference_steps

integer

(minimum: 1, maximum: 500)

Number of denoising steps

Default: 40

guidance_scale

number

(minimum: 1, maximum: 50)

Scale for classifier-free guidance

Default: 7

strength

number

(minimum: 0, maximum: 1)

Prompt strength when using img2img / inpaint. 1.0 corresponds to full destruction of information in image

Default: 0.8

seed

integer

Random seed. Leave blank to randomize the seed

Including lora_scale and 1 more...

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

npx create-replicate --model=asiryan/juggernaut-xl-v7

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 asiryan/juggernaut-xl-v7 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "asiryan/juggernaut-xl-v7:6a52feace43ce1f6bbc2cdabfc68423cb2319d7444a1a1dae529c5e88b976382",
  {
    input: {
      seed: 29725,
      width: 1024,
      height: 1024,
      prompt: "A cute monster, colorful, clutter, ultra detailed, mysterious, scary, perfect environment, cinematic lighting, product photography, unreal engine, 8K",
      strength: 1,
      scheduler: "K_EULER_ANCESTRAL",
      lora_scale: 0.6,
      num_outputs: 1,
      guidance_scale: 7,
      negative_prompt: "(worst quality, low quality, normal quality, lowres, low details, oversaturated, undersaturated, overexposed, underexposed, grayscale, bw, bad photo, bad photography, bad art:1.4), (watermark, signature, text font, username, error, logo, words, letters, digits, autograph, trademark, name:1.2), (blur, blurry, grainy), morbid, ugly, asymmetrical, mutated malformed, mutilated, poorly lit, bad shadow, draft, cropped, out of frame, cut off, censored, jpeg artifacts, out of focus, glitch, duplicate, (airbrushed, cartoon, anime, semi-realistic, cgi, render, blender, digital art, manga, amateur:1.3), (3D ,3D Game, 3D Game Scene, 3D Character:1.1), (bad hands, bad anatomy, bad body, bad face, bad teeth, bad arms, bad legs, deformities:1.3)",
      num_inference_steps: 40
    }
  }
);

// 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 asiryan/juggernaut-xl-v7 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "asiryan/juggernaut-xl-v7:6a52feace43ce1f6bbc2cdabfc68423cb2319d7444a1a1dae529c5e88b976382",
    input={
        "seed": 29725,
        "width": 1024,
        "height": 1024,
        "prompt": "A cute monster, colorful, clutter, ultra detailed, mysterious, scary, perfect environment, cinematic lighting, product photography, unreal engine, 8K",
        "strength": 1,
        "scheduler": "K_EULER_ANCESTRAL",
        "lora_scale": 0.6,
        "num_outputs": 1,
        "guidance_scale": 7,
        "negative_prompt": "(worst quality, low quality, normal quality, lowres, low details, oversaturated, undersaturated, overexposed, underexposed, grayscale, bw, bad photo, bad photography, bad art:1.4), (watermark, signature, text font, username, error, logo, words, letters, digits, autograph, trademark, name:1.2), (blur, blurry, grainy), morbid, ugly, asymmetrical, mutated malformed, mutilated, poorly lit, bad shadow, draft, cropped, out of frame, cut off, censored, jpeg artifacts, out of focus, glitch, duplicate, (airbrushed, cartoon, anime, semi-realistic, cgi, render, blender, digital art, manga, amateur:1.3), (3D ,3D Game, 3D Game Scene, 3D Character:1.1), (bad hands, bad anatomy, bad body, bad face, bad teeth, bad arms, bad legs, deformities:1.3)",
        "num_inference_steps": 40
    }
)

# 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 asiryan/juggernaut-xl-v7 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": "asiryan/juggernaut-xl-v7:6a52feace43ce1f6bbc2cdabfc68423cb2319d7444a1a1dae529c5e88b976382",
    "input": {
      "seed": 29725,
      "width": 1024,
      "height": 1024,
      "prompt": "A cute monster, colorful, clutter, ultra detailed, mysterious, scary, perfect environment, cinematic lighting, product photography, unreal engine, 8K",
      "strength": 1,
      "scheduler": "K_EULER_ANCESTRAL",
      "lora_scale": 0.6,
      "num_outputs": 1,
      "guidance_scale": 7,
      "negative_prompt": "(worst quality, low quality, normal quality, lowres, low details, oversaturated, undersaturated, overexposed, underexposed, grayscale, bw, bad photo, bad photography, bad art:1.4), (watermark, signature, text font, username, error, logo, words, letters, digits, autograph, trademark, name:1.2), (blur, blurry, grainy), morbid, ugly, asymmetrical, mutated malformed, mutilated, poorly lit, bad shadow, draft, cropped, out of frame, cut off, censored, jpeg artifacts, out of focus, glitch, duplicate, (airbrushed, cartoon, anime, semi-realistic, cgi, render, blender, digital art, manga, amateur:1.3), (3D ,3D Game, 3D Game Scene, 3D Character:1.1), (bad hands, bad anatomy, bad body, bad face, bad teeth, bad arms, bad legs, deformities:1.3)",
      "num_inference_steps": 40
    }
  }' \
  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/asiryan/juggernaut-xl-v7@sha256:6a52feace43ce1f6bbc2cdabfc68423cb2319d7444a1a1dae529c5e88b976382 \
  -i 'seed=29725' \
  -i 'width=1024' \
  -i 'height=1024' \
  -i 'prompt="A cute monster, colorful, clutter, ultra detailed, mysterious, scary, perfect environment, cinematic lighting, product photography, unreal engine, 8K"' \
  -i 'strength=1' \
  -i 'scheduler="K_EULER_ANCESTRAL"' \
  -i 'lora_scale=0.6' \
  -i 'num_outputs=1' \
  -i 'guidance_scale=7' \
  -i 'negative_prompt="(worst quality, low quality, normal quality, lowres, low details, oversaturated, undersaturated, overexposed, underexposed, grayscale, bw, bad photo, bad photography, bad art:1.4), (watermark, signature, text font, username, error, logo, words, letters, digits, autograph, trademark, name:1.2), (blur, blurry, grainy), morbid, ugly, asymmetrical, mutated malformed, mutilated, poorly lit, bad shadow, draft, cropped, out of frame, cut off, censored, jpeg artifacts, out of focus, glitch, duplicate, (airbrushed, cartoon, anime, semi-realistic, cgi, render, blender, digital art, manga, amateur:1.3), (3D ,3D Game, 3D Game Scene, 3D Character:1.1), (bad hands, bad anatomy, bad body, bad face, bad teeth, bad arms, bad legs, deformities:1.3)"' \
  -i 'num_inference_steps=40'

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/asiryan/juggernaut-xl-v7@sha256:6a52feace43ce1f6bbc2cdabfc68423cb2319d7444a1a1dae529c5e88b976382
curl -s -X POST \
  -H "Content-Type: application/json" \
  -d $'{
    "input": {
      "seed": 29725,
      "width": 1024,
      "height": 1024,
      "prompt": "A cute monster, colorful, clutter, ultra detailed, mysterious, scary, perfect environment, cinematic lighting, product photography, unreal engine, 8K",
      "strength": 1,
      "scheduler": "K_EULER_ANCESTRAL",
      "lora_scale": 0.6,
      "num_outputs": 1,
      "guidance_scale": 7,
      "negative_prompt": "(worst quality, low quality, normal quality, lowres, low details, oversaturated, undersaturated, overexposed, underexposed, grayscale, bw, bad photo, bad photography, bad art:1.4), (watermark, signature, text font, username, error, logo, words, letters, digits, autograph, trademark, name:1.2), (blur, blurry, grainy), morbid, ugly, asymmetrical, mutated malformed, mutilated, poorly lit, bad shadow, draft, cropped, out of frame, cut off, censored, jpeg artifacts, out of focus, glitch, duplicate, (airbrushed, cartoon, anime, semi-realistic, cgi, render, blender, digital art, manga, amateur:1.3), (3D ,3D Game, 3D Game Scene, 3D Character:1.1), (bad hands, bad anatomy, bad body, bad face, bad teeth, bad arms, bad legs, deformities:1.3)",
      "num_inference_steps": 40
    }
  }' \
  http://localhost:5000/predictions

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

Output

{
  "completed_at": "2023-12-05T05:27:14.070701Z",
  "created_at": "2023-12-05T05:27:04.629817Z",
  "data_removed": false,
  "error": null,
  "id": "thwufatbrdnm4bc2x5cp7oobvm",
  "input": {
    "seed": 29725,
    "width": 1024,
    "height": 1024,
    "prompt": "A cute monster, colorful, clutter, ultra detailed, mysterious, scary, perfect environment, cinematic lighting, product photography, unreal engine, 8K",
    "strength": 1,
    "scheduler": "K_EULER_ANCESTRAL",
    "num_outputs": 1,
    "guidance_scale": 7,
    "negative_prompt": "(worst quality, low quality, normal quality, lowres, low details, oversaturated, undersaturated, overexposed, underexposed, grayscale, bw, bad photo, bad photography, bad art:1.4), (watermark, signature, text font, username, error, logo, words, letters, digits, autograph, trademark, name:1.2), (blur, blurry, grainy), morbid, ugly, asymmetrical, mutated malformed, mutilated, poorly lit, bad shadow, draft, cropped, out of frame, cut off, censored, jpeg artifacts, out of focus, glitch, duplicate, (airbrushed, cartoon, anime, semi-realistic, cgi, render, blender, digital art, manga, amateur:1.3), (3D ,3D Game, 3D Game Scene, 3D Character:1.1), (bad hands, bad anatomy, bad body, bad face, bad teeth, bad arms, bad legs, deformities:1.3)",
    "num_inference_steps": 40
  },
  "logs": "Using seed: 29725\nPrompt: A cute monster, colorful, clutter, ultra detailed, mysterious, scary, perfect environment, cinematic lighting, product photography, unreal engine, 8K\ntxt2img mode\n  0%|          | 0/40 [00:00<?, ?it/s]\n  2%|▎         | 1/40 [00:00<00:07,  5.00it/s]\n  5%|▌         | 2/40 [00:00<00:07,  4.96it/s]\n  8%|▊         | 3/40 [00:00<00:07,  4.95it/s]\n 10%|█         | 4/40 [00:00<00:07,  4.94it/s]\n 12%|█▎        | 5/40 [00:01<00:07,  4.92it/s]\n 15%|█▌        | 6/40 [00:01<00:06,  4.92it/s]\n 18%|█▊        | 7/40 [00:01<00:06,  4.92it/s]\n 20%|██        | 8/40 [00:01<00:06,  4.92it/s]\n 22%|██▎       | 9/40 [00:01<00:06,  4.92it/s]\n 25%|██▌       | 10/40 [00:02<00:06,  4.91it/s]\n 28%|██▊       | 11/40 [00:02<00:05,  4.91it/s]\n 30%|███       | 12/40 [00:02<00:05,  4.93it/s]\n 32%|███▎      | 13/40 [00:02<00:05,  4.94it/s]\n 35%|███▌      | 14/40 [00:02<00:05,  4.94it/s]\n 38%|███▊      | 15/40 [00:03<00:05,  4.94it/s]\n 40%|████      | 16/40 [00:03<00:04,  4.94it/s]\n 42%|████▎     | 17/40 [00:03<00:04,  4.94it/s]\n 45%|████▌     | 18/40 [00:03<00:04,  4.95it/s]\n 48%|████▊     | 19/40 [00:03<00:04,  4.95it/s]\n 50%|█████     | 20/40 [00:04<00:04,  4.95it/s]\n 52%|█████▎    | 21/40 [00:04<00:03,  4.95it/s]\n 55%|█████▌    | 22/40 [00:04<00:03,  4.95it/s]\n 57%|█████▊    | 23/40 [00:04<00:03,  4.95it/s]\n 60%|██████    | 24/40 [00:04<00:03,  4.95it/s]\n 62%|██████▎   | 25/40 [00:05<00:03,  4.94it/s]\n 65%|██████▌   | 26/40 [00:05<00:02,  4.94it/s]\n 68%|██████▊   | 27/40 [00:05<00:02,  4.94it/s]\n 70%|███████   | 28/40 [00:05<00:02,  4.94it/s]\n 72%|███████▎  | 29/40 [00:05<00:02,  4.95it/s]\n 75%|███████▌  | 30/40 [00:06<00:02,  4.94it/s]\n 78%|███████▊  | 31/40 [00:06<00:01,  4.95it/s]\n 80%|████████  | 32/40 [00:06<00:01,  4.94it/s]\n 82%|████████▎ | 33/40 [00:06<00:01,  4.94it/s]\n 85%|████████▌ | 34/40 [00:06<00:01,  4.94it/s]\n 88%|████████▊ | 35/40 [00:07<00:01,  4.93it/s]\n 90%|█████████ | 36/40 [00:07<00:00,  4.94it/s]\n 92%|█████████▎| 37/40 [00:07<00:00,  4.94it/s]\n 95%|█████████▌| 38/40 [00:07<00:00,  4.94it/s]\n 98%|█████████▊| 39/40 [00:07<00:00,  4.94it/s]\n100%|██████████| 40/40 [00:08<00:00,  4.93it/s]\n100%|██████████| 40/40 [00:08<00:00,  4.94it/s]",
  "metrics": {
    "predict_time": 9.437005,
    "total_time": 9.440884
  },
  "output": [
    "https://replicate.delivery/pbxt/lqJ4PXrcZfUjdaqRzlnAVvSX5wfiBNQFxnDQygnRutNxaGfjA/out-0.png"
  ],
  "started_at": "2023-12-05T05:27:04.633696Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/thwufatbrdnm4bc2x5cp7oobvm",
    "cancel": "https://api.replicate.com/v1/predictions/thwufatbrdnm4bc2x5cp7oobvm/cancel"
  },
  "version": "6a52feace43ce1f6bbc2cdabfc68423cb2319d7444a1a1dae529c5e88b976382"
}

Generated in

9.4 seconds

Tweak it Iterate in playgroundReport View full prediction

Using seed: 29725
Prompt: A cute monster, colorful, clutter, ultra detailed, mysterious, scary, perfect environment, cinematic lighting, product photography, unreal engine, 8K
txt2img mode
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Examples

View more examples

Run time and cost

This model costs approximately $0.0014 to run on Replicate, or 714 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 1 seconds.

Readme

Juggernaut XL v7 Model (Text2Img, Img2Img and Inpainting)