Prediction

Model

dhanushreddy291/amused-text-to-image:6f67e16d

v563bc3bwzbft5egvh6qvte52i

Status

Succeeded

Source

Web

Hardware

A40

Total duration

3.1s

Created

almost 2 years ago

Webhook

–

Input

prompt: a photo of a colorful lemon mocktail can with mint leaves with an abstract background
negative_prompt: 3d, cgi, render, bad quality, normal quality
num_outputs: 1
guidance_scale: 20
num_inference_steps: 50

{
  "guidance_scale": 20,
  "negative_prompt": "3d, cgi, render, bad quality, normal quality",
  "num_inference_steps": 50,
  "num_outputs": 1,
  "prompt": "a photo of a colorful lemon mocktail can with mint leaves with an abstract background"
}

Install Replicate’s Node.js client library:

npm install replicate

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=r8_GCC**********************************

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 dhanushreddy291/amused-text-to-image using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "dhanushreddy291/amused-text-to-image:6f67e16d8ad72712b34058e1206329d10e9e18b9fbf5686f9485cfa0bd2be8f6",
  {
    input: {
      guidance_scale: 20,
      negative_prompt: "3d, cgi, render, bad quality, normal quality",
      num_inference_steps: 50,
      num_outputs: 1,
      prompt: "a photo of a colorful lemon mocktail can with mint leaves with an abstract background"
    }
  }
);

// 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_GCC**********************************

This is your API token. Keep it to yourself.

Import the client:

import replicate

Run dhanushreddy291/amused-text-to-image using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "dhanushreddy291/amused-text-to-image:6f67e16d8ad72712b34058e1206329d10e9e18b9fbf5686f9485cfa0bd2be8f6",
    input={
        "guidance_scale": 20,
        "negative_prompt": "3d, cgi, render, bad quality, normal quality",
        "num_inference_steps": 50,
        "num_outputs": 1,
        "prompt": "a photo of a colorful lemon mocktail can with mint leaves with an abstract background"
    }
)

# 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_GCC**********************************

This is your API token. Keep it to yourself.

Run dhanushreddy291/amused-text-to-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 $'{
    "version": "dhanushreddy291/amused-text-to-image:6f67e16d8ad72712b34058e1206329d10e9e18b9fbf5686f9485cfa0bd2be8f6",
    "input": {
      "guidance_scale": 20,
      "negative_prompt": "3d, cgi, render, bad quality, normal quality",
      "num_inference_steps": 50,
      "num_outputs": 1,
      "prompt": "a photo of a colorful lemon mocktail can with mint leaves with an abstract background"
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

{
  "id": "v563bc3bwzbft5egvh6qvte52i",
  "model": "dhanushreddy291/amused-text-to-image",
  "version": "6f67e16d8ad72712b34058e1206329d10e9e18b9fbf5686f9485cfa0bd2be8f6",
  "input": {
    "guidance_scale": 20,
    "negative_prompt": "3d, cgi, render, bad quality, normal quality",
    "num_inference_steps": 50,
    "num_outputs": 1,
    "prompt": "a photo of a colorful lemon mocktail can with mint leaves with an abstract background"
  },
  "logs": "Using seed: 1386652\n  0%|          | 0/50 [00:00<?, ?it/s]\n  6%|▌         | 3/50 [00:00<00:01, 26.23it/s]\n 12%|█▏        | 6/50 [00:00<00:01, 27.20it/s]\n 18%|█▊        | 9/50 [00:00<00:01, 27.67it/s]\n 24%|██▍       | 12/50 [00:00<00:01, 27.99it/s]\n 30%|███       | 15/50 [00:00<00:01, 28.26it/s]\n 36%|███▌      | 18/50 [00:00<00:01, 28.43it/s]\n 42%|████▏     | 21/50 [00:00<00:01, 27.70it/s]\n 48%|████▊     | 24/50 [00:00<00:00, 27.39it/s]\n 54%|█████▍    | 27/50 [00:00<00:00, 26.45it/s]\n 60%|██████    | 30/50 [00:01<00:00, 25.59it/s]\n 66%|██████▌   | 33/50 [00:01<00:00, 25.87it/s]\n 72%|███████▏  | 36/50 [00:01<00:00, 26.26it/s]\n 78%|███████▊  | 39/50 [00:01<00:00, 26.88it/s]\n 84%|████████▍ | 42/50 [00:01<00:00, 27.38it/s]\n 90%|█████████ | 45/50 [00:01<00:00, 27.60it/s]\n 96%|█████████▌| 48/50 [00:01<00:00, 26.99it/s]\n100%|██████████| 50/50 [00:01<00:00, 27.03it/s]",
  "output": [
    "https://replicate.delivery/pbxt/qeggT9SUk1Vqb68IOOcqeqMu4asrfYRreZ7jCcUnv89AUeYRC/out-0.png"
  ],
  "data_removed": false,
  "error": null,
  "source": "web",
  "status": "succeeded",
  "created_at": "2024-01-10T16:35:10.383038Z",
  "started_at": "2024-01-10T16:35:10.417122Z",
  "completed_at": "2024-01-10T16:35:13.508688Z",
  "urls": {
    "cancel": "https://api.replicate.com/v1/predictions/v563bc3bwzbft5egvh6qvte52i/cancel",
    "get": "https://api.replicate.com/v1/predictions/v563bc3bwzbft5egvh6qvte52i"
  },
  "metrics": {
    "predict_time": 3.091566,
    "total_time": 3.12565
  }
}

Generated in

3.1 seconds

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