b0ndt / my-flux-lora

prompt: Stephan Elliott, man, (art by Janet Delaney:1.3) , photograph, wearing long baggy pants:1. 5, tiny crop top:1. 5, at burning man festival, Snowing, split diopter, Ultra Real, Dark, Crowcore, hard light, film grain, Kodak portra 800, Depth of field 100mm, overlapping compositions, blended visuals, trending on artstation, award winning, light from front

{
  "prompt": "Stephan Elliott, man, (art by Janet Delaney:1.3) , photograph, wearing long baggy pants:1. 5, tiny crop top:1. 5, at burning man festival, Snowing, split diopter, Ultra Real, Dark, Crowcore, hard light, film grain, Kodak portra 800, Depth of field 100mm, overlapping compositions, blended visuals, trending on artstation, award winning, light from front"
}

Install Replicate’s Node.js client library:

npm install replicate

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 b0ndt/my-flux-lora using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "b0ndt/my-flux-lora:3861f78c9c18e92822ae1c660c59091644efc372b87a4d4cbf529e5c14ba1f4d",
  {
    input: {
      prompt: "Stephan Elliott, man, (art by Janet Delaney:1.3) , photograph, wearing long baggy pants:1. 5, tiny crop top:1. 5, at burning man festival, Snowing, split diopter, Ultra Real, Dark, Crowcore, hard light, film grain, Kodak portra 800, Depth of field 100mm, overlapping compositions, blended visuals, trending on artstation, award winning, light from front"
    }
  }
);

// 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

Import the client:

import replicate

Run b0ndt/my-flux-lora using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "b0ndt/my-flux-lora:3861f78c9c18e92822ae1c660c59091644efc372b87a4d4cbf529e5c14ba1f4d",
    input={
        "prompt": "Stephan Elliott, man, (art by Janet Delaney:1.3) , photograph, wearing long baggy pants:1. 5, tiny crop top:1. 5, at burning man festival, Snowing, split diopter, Ultra Real, Dark, Crowcore, hard light, film grain, Kodak portra 800, Depth of field 100mm, overlapping compositions, blended visuals, trending on artstation, award winning, light from front"
    }
)
print(output)

To learn more, take a look at the guide on getting started with Python.

Run b0ndt/my-flux-lora 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": "b0ndt/my-flux-lora:3861f78c9c18e92822ae1c660c59091644efc372b87a4d4cbf529e5c14ba1f4d",
    "input": {
      "prompt": "Stephan Elliott, man, (art by Janet Delaney:1.3) , photograph, wearing long baggy pants:1. 5, tiny crop top:1. 5, at burning man festival, Snowing, split diopter, Ultra Real, Dark, Crowcore, hard light, film grain, Kodak portra 800, Depth of field 100mm, overlapping compositions, blended visuals, trending on artstation, award winning, light from front"
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

empty.zip

Generated in

0.2 seconds

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