lucataco/dreamshaper-xl-turbo:0a1710e0 – Run with an API on Replicate

Version

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lucataco /dreamshaper-xl-turbo:0a1710e0

Input

prompt

string

Shift + Return to add a new line

Photography, full body of real life pikachu portrait, symmetrical, highly detailed, smooth, sharp focus, cinematic lighting, kkw-ph1Photography, full body of real life pikachu portrait, symmetrical, highly detailed, smooth, sharp focus, cinematic lighting, kkw-ph1

Input prompt

Default: "An astronaut riding a rainbow unicorn"

negative_prompt

string

Shift + Return to add a new line

text, watermark, low quality, medium quality, blurry, censored, wrinkles, deformed, mutated, cgi, 3d rendertext, watermark, low quality, medium quality, blurry, censored, wrinkles, deformed, mutated, cgi, 3d render

Input Negative Prompt

Default: ""

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"

num_inference_steps

integer

(minimum: 1, maximum: 50)

Number of denoising steps

Default: 6

guidance_scale

number

(minimum: 1, maximum: 20)

Scale for classifier-free guidance

Default: 2

seed

integer

Random seed. Leave blank to randomize the seed

apply_watermark

boolean

Applies a watermark to enable determining if an image is generated in downstream applications. If you have other provisions for generating or deploying images safely, you can use this to disable watermarking.

Default: true

disable_safety_checker

boolean

Disable safety checker for generated images. This feature is only available through the API. See [https://replicate.com/docs/how-does-replicate-work#safety](https://replicate.com/docs/how-does-replicate-work#safety)

Default: false

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

npx create-replicate --model=lucataco/dreamshaper-xl-turbo

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 lucataco/dreamshaper-xl-turbo using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "lucataco/dreamshaper-xl-turbo:0a1710e0187b01a255302738ca0158ff02a22f4638679533e111082f9dd1b615",
  {
    input: {
      width: 1024,
      height: 1024,
      prompt: "Photography, full body of real life pikachu portrait, symmetrical, highly detailed, smooth, sharp focus, cinematic lighting, kkw-ph1",
      scheduler: "K_EULER",
      num_outputs: 1,
      guidance_scale: 2,
      apply_watermark: true,
      negative_prompt: "text, watermark, low quality, medium quality, blurry, censored, wrinkles, deformed, mutated, cgi, 3d render",
      num_inference_steps: 7
    }
  }
);
console.log(output);

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 lucataco/dreamshaper-xl-turbo using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "lucataco/dreamshaper-xl-turbo:0a1710e0187b01a255302738ca0158ff02a22f4638679533e111082f9dd1b615",
    input={
        "width": 1024,
        "height": 1024,
        "prompt": "Photography, full body of real life pikachu portrait, symmetrical, highly detailed, smooth, sharp focus, cinematic lighting, kkw-ph1",
        "scheduler": "K_EULER",
        "num_outputs": 1,
        "guidance_scale": 2,
        "apply_watermark": True,
        "negative_prompt": "text, watermark, low quality, medium quality, blurry, censored, wrinkles, deformed, mutated, cgi, 3d render",
        "num_inference_steps": 7
    }
)
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 lucataco/dreamshaper-xl-turbo 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": "0a1710e0187b01a255302738ca0158ff02a22f4638679533e111082f9dd1b615",
    "input": {
      "width": 1024,
      "height": 1024,
      "prompt": "Photography, full body of real life pikachu portrait, symmetrical, highly detailed, smooth, sharp focus, cinematic lighting, kkw-ph1",
      "scheduler": "K_EULER",
      "num_outputs": 1,
      "guidance_scale": 2,
      "apply_watermark": true,
      "negative_prompt": "text, watermark, low quality, medium quality, blurry, censored, wrinkles, deformed, mutated, cgi, 3d render",
      "num_inference_steps": 7
    }
  }' \
  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/lucataco/dreamshaper-xl-turbo@sha256:0a1710e0187b01a255302738ca0158ff02a22f4638679533e111082f9dd1b615 \
  -i 'width=1024' \
  -i 'height=1024' \
  -i 'prompt="Photography, full body of real life pikachu portrait, symmetrical, highly detailed, smooth, sharp focus, cinematic lighting, kkw-ph1"' \
  -i 'scheduler="K_EULER"' \
  -i 'num_outputs=1' \
  -i 'guidance_scale=2' \
  -i 'apply_watermark=true' \
  -i 'negative_prompt="text, watermark, low quality, medium quality, blurry, censored, wrinkles, deformed, mutated, cgi, 3d render"' \
  -i 'num_inference_steps=7'

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/lucataco/dreamshaper-xl-turbo@sha256:0a1710e0187b01a255302738ca0158ff02a22f4638679533e111082f9dd1b615
curl -s -X POST \
  -H "Content-Type: application/json" \
  -d $'{
    "input": {
      "width": 1024,
      "height": 1024,
      "prompt": "Photography, full body of real life pikachu portrait, symmetrical, highly detailed, smooth, sharp focus, cinematic lighting, kkw-ph1",
      "scheduler": "K_EULER",
      "num_outputs": 1,
      "guidance_scale": 2,
      "apply_watermark": true,
      "negative_prompt": "text, watermark, low quality, medium quality, blurry, censored, wrinkles, deformed, mutated, cgi, 3d render",
      "num_inference_steps": 7
    }
  }' \
  http://localhost:5000/predictions

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

Output

Generated in

3.5 seconds

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