Prediction

Official model

qwen/qwen-image

wzzhb6fdsdrmc0csdj39nem8hg

Status

Succeeded

Source

Web

Total duration

3.1s

Created

9 months ago by zsxkib

Webhook

–

Input

prompt: cute dog with a funny hat
enhance_prompt: false
lora_scale: 1
strength: 0.9
negative_prompt
aspect_ratio: 16:9
image_size: optimize_for_quality
go_fast: true
num_inference_steps: 50
guidance: 4
output_format: webp
output_quality: 80

{
  "aspect_ratio": "16:9",
  "enhance_prompt": false,
  "go_fast": true,
  "guidance": 4,
  "image_size": "optimize_for_quality",
  "lora_scale": 1,
  "negative_prompt": " ",
  "num_inference_steps": 50,
  "output_format": "webp",
  "output_quality": 80,
  "prompt": "cute dog with a funny hat",
  "strength": 0.9
}

Install Replicate’s Node.js client library:

npm install replicate

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=r8_Bni**********************************

This is your API token. Keep it to yourself.

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

const input = {
  aspect_ratio: "16:9",
  enhance_prompt: false,
  go_fast: true,
  guidance: 4,
  image_size: "optimize_for_quality",
  lora_scale: 1,
  negative_prompt: " ",
  num_inference_steps: 50,
  output_format: "webp",
  output_quality: 80,
  prompt: "cute dog with a funny hat",
  strength: 0.9
};

const output = await replicate.run("qwen/qwen-image", { input });

// 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=r8_Bni**********************************

This is your API token. Keep it to yourself.

Import the client:

import replicate

Run qwen/qwen-image using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "qwen/qwen-image",
    input={
        "aspect_ratio": "16:9",
        "enhance_prompt": False,
        "go_fast": True,
        "guidance": 4,
        "image_size": "optimize_for_quality",
        "lora_scale": 1,
        "negative_prompt": " ",
        "num_inference_steps": 50,
        "output_format": "webp",
        "output_quality": 80,
        "prompt": "cute dog with a funny hat",
        "strength": 0.9
    }
)

# 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=r8_Bni**********************************

This is your API token. Keep it to yourself.

Run qwen/qwen-image 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 $'{
    "input": {
      "aspect_ratio": "16:9",
      "enhance_prompt": false,
      "go_fast": true,
      "guidance": 4,
      "image_size": "optimize_for_quality",
      "lora_scale": 1,
      "negative_prompt": " ",
      "num_inference_steps": 50,
      "output_format": "webp",
      "output_quality": 80,
      "prompt": "cute dog with a funny hat",
      "strength": 0.9
    }
  }' \
  https://api.replicate.com/v1/models/qwen/qwen-image/predictions

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

Output

Generated in

3.1 seconds

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