Prediction

thijssdaniels/eichholtz-bjorn-sofa:88aa7e073cb29317af0601b9dbd7449892bf93ba57e4aac20d6020d9f595aaf6

Model

thijssdaniels/eichholtz-bjorn-sofa:88aa7e07

2c3mjv3b4daac6mhipw4batkly

Status

Succeeded

Source

Web

Hardware

A40 (Large)

Total duration

59.6s

Created

over 1 year ago

Input

width: 1024
height: 1024
prompt: A white boucle sofa in a living room with a chandelier
refine: no_refiner
scheduler: K_EULER
lora_scale: 0.6
num_outputs: 4
guidance_scale: 7.5
apply_watermark
high_noise_frac: 0.8
negative_prompt
prompt_strength: 0.8
num_inference_steps: 50

{
  "width": 1024,
  "height": 1024,
  "prompt": "A white boucle sofa in a living room with a chandelier",
  "refine": "no_refiner",
  "scheduler": "K_EULER",
  "lora_scale": 0.6,
  "num_outputs": 4,
  "guidance_scale": 7.5,
  "apply_watermark": true,
  "high_noise_frac": 0.8,
  "negative_prompt": "",
  "prompt_strength": 0.8,
  "num_inference_steps": 50
}

Install Replicate’s Node.js client library:

npm install replicate

Import and set up the client:

import Replicate from "replicate";

const replicate = new Replicate({
  auth: process.env.REPLICATE_API_TOKEN,
});

Run thijssdaniels/eichholtz-bjorn-sofa using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "thijssdaniels/eichholtz-bjorn-sofa:88aa7e073cb29317af0601b9dbd7449892bf93ba57e4aac20d6020d9f595aaf6",
  {
    input: {
      width: 1024,
      height: 1024,
      prompt: "A white boucle sofa in a living room with a chandelier",
      refine: "no_refiner",
      scheduler: "K_EULER",
      lora_scale: 0.6,
      num_outputs: 4,
      guidance_scale: 7.5,
      apply_watermark: true,
      high_noise_frac: 0.8,
      negative_prompt: "",
      prompt_strength: 0.8,
      num_inference_steps: 50
    }
  }
);

// 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

Import the client:

import replicate

Run thijssdaniels/eichholtz-bjorn-sofa using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "thijssdaniels/eichholtz-bjorn-sofa:88aa7e073cb29317af0601b9dbd7449892bf93ba57e4aac20d6020d9f595aaf6",
    input={
        "width": 1024,
        "height": 1024,
        "prompt": "A white boucle sofa in a living room with a chandelier",
        "refine": "no_refiner",
        "scheduler": "K_EULER",
        "lora_scale": 0.6,
        "num_outputs": 4,
        "guidance_scale": 7.5,
        "apply_watermark": True,
        "high_noise_frac": 0.8,
        "negative_prompt": "",
        "prompt_strength": 0.8,
        "num_inference_steps": 50
    }
)
print(output)

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

Run thijssdaniels/eichholtz-bjorn-sofa 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": "88aa7e073cb29317af0601b9dbd7449892bf93ba57e4aac20d6020d9f595aaf6",
    "input": {
      "width": 1024,
      "height": 1024,
      "prompt": "A white boucle sofa in a living room with a chandelier",
      "refine": "no_refiner",
      "scheduler": "K_EULER",
      "lora_scale": 0.6,
      "num_outputs": 4,
      "guidance_scale": 7.5,
      "apply_watermark": true,
      "high_noise_frac": 0.8,
      "negative_prompt": "",
      "prompt_strength": 0.8,
      "num_inference_steps": 50
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

Generated in

58.4 seconds

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