toanbarcelona1998/dream_shaper8 | Run with an API on Replicate

Input

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

npx create-replicate --model=toanbarcelona1998/dream_shaper8

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 toanbarcelona1998/dream_shaper8 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "toanbarcelona1998/dream_shaper8:0405ae78d011e0511602983f1be6cc7d7eb33a7295eaa062eefcbcbc6b5a74ec",
  {
    input: {
      prompt: "<lora:RTMCHBKH0123_Style_Long:0.9>, Impasto, RTMCHBKH0123 style, a log cabin on a snowy cliff, smoke plume, hard evening lighting, snow, snowing",
      negativePrompt: "blurry, illustration, toy, clay, low quality, flag, nasa, mission patch"
    }
  }
);

// To access the file URL:
console.log(output.url()); //=> "http://example.com"

// To write the file to disk:
fs.writeFile("my-image.png", 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 toanbarcelona1998/dream_shaper8 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "toanbarcelona1998/dream_shaper8:0405ae78d011e0511602983f1be6cc7d7eb33a7295eaa062eefcbcbc6b5a74ec",
    input={
        "prompt": "<lora:RTMCHBKH0123_Style_Long:0.9>, Impasto, RTMCHBKH0123 style, a log cabin on a snowy cliff, smoke plume, hard evening lighting, snow, snowing",
        "negativePrompt": "blurry, illustration, toy, clay, low quality, flag, nasa, mission patch"
    }
)

# To access the file URL:
print(output.url())
#=> "http://example.com"

# To write the file to disk:
with open("my-image.png", "wb") as file:
    file.write(output.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 toanbarcelona1998/dream_shaper8 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": "toanbarcelona1998/dream_shaper8:0405ae78d011e0511602983f1be6cc7d7eb33a7295eaa062eefcbcbc6b5a74ec",
    "input": {
      "prompt": "<lora:RTMCHBKH0123_Style_Long:0.9>, Impasto, RTMCHBKH0123 style, a log cabin on a snowy cliff, smoke plume, hard evening lighting, snow, snowing",
      "negativePrompt": "blurry, illustration, toy, clay, low quality, flag, nasa, mission patch"
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

Generated in

1.3 seconds

Tweak it Iterate in playground Share Report View full prediction

Examples

View more examples

Run time and cost

This model runs on Nvidia A100 (80GB) GPU hardware. We don't yet have enough runs of this model to provide performance information.

Readme

This model doesn't have a readme.