Prediction

Model

stability-ai/stable-diffusion:ac732df8

elqle2bbcval7o53g7w5wpub4u

Status

Succeeded

Source

Web

Hardware

A100 (40GB)

Total duration

3.3s

Created

over 2 years ago by replicate

Webhook

–

Input

prompt: another command line interface
height: 768
width: 768
num_outputs: 1
num_inference_steps: 50
guidance_scale: 7.5
scheduler: K_EULER

{
  "guidance_scale": 7.5,
  "height": 768,
  "num_inference_steps": 50,
  "num_outputs": 1,
  "prompt": "another command line interface",
  "scheduler": "K_EULER",
  "width": 768
}

Install Replicate’s Node.js client library:

npm install replicate

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=r8_Kld**********************************

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 stability-ai/stable-diffusion using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "stability-ai/stable-diffusion:ac732df83cea7fff18b8472768c88ad041fa750ff7682a21affe81863cbe77e4",
  {
    input: {
      guidance_scale: 7.5,
      height: 768,
      num_inference_steps: 50,
      num_outputs: 1,
      prompt: "another command line interface",
      scheduler: "K_EULER",
      width: 768
    }
  }
);

// 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_Kld**********************************

This is your API token. Keep it to yourself.

Import the client:

import replicate

Run stability-ai/stable-diffusion using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "stability-ai/stable-diffusion:ac732df83cea7fff18b8472768c88ad041fa750ff7682a21affe81863cbe77e4",
    input={
        "guidance_scale": 7.5,
        "height": 768,
        "num_inference_steps": 50,
        "num_outputs": 1,
        "prompt": "another command line interface",
        "scheduler": "K_EULER",
        "width": 768
    }
)

# 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_Kld**********************************

This is your API token. Keep it to yourself.

Run stability-ai/stable-diffusion 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": "stability-ai/stable-diffusion:ac732df83cea7fff18b8472768c88ad041fa750ff7682a21affe81863cbe77e4",
    "input": {
      "guidance_scale": 7.5,
      "height": 768,
      "num_inference_steps": 50,
      "num_outputs": 1,
      "prompt": "another command line interface",
      "scheduler": "K_EULER",
      "width": 768
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

{
  "id": "elqle2bbcval7o53g7w5wpub4u",
  "model": "stability-ai/stable-diffusion",
  "version": "ac732df83cea7fff18b8472768c88ad041fa750ff7682a21affe81863cbe77e4",
  "input": {
    "guidance_scale": 7.5,
    "height": 768,
    "num_inference_steps": 50,
    "num_outputs": 1,
    "prompt": "another command line interface",
    "scheduler": "K_EULER",
    "width": 768
  },
  "logs": "Using seed: 10252\n  0%|          | 0/50 [00:00<?, ?it/s]\n  4%|▍         | 2/50 [00:00<00:02, 18.61it/s]\n 10%|█         | 5/50 [00:00<00:02, 20.76it/s]\n 16%|█▌        | 8/50 [00:00<00:01, 21.67it/s]\n 22%|██▏       | 11/50 [00:00<00:01, 22.23it/s]\n 28%|██▊       | 14/50 [00:00<00:01, 21.96it/s]\n 34%|███▍      | 17/50 [00:00<00:01, 22.35it/s]\n 40%|████      | 20/50 [00:00<00:01, 22.61it/s]\n 46%|████▌     | 23/50 [00:01<00:01, 22.77it/s]\n 52%|█████▏    | 26/50 [00:01<00:01, 22.86it/s]\n 58%|█████▊    | 29/50 [00:01<00:00, 22.87it/s]\n 64%|██████▍   | 32/50 [00:01<00:00, 22.94it/s]\n 70%|███████   | 35/50 [00:01<00:00, 22.99it/s]\n 76%|███████▌  | 38/50 [00:01<00:00, 23.01it/s]\n 82%|████████▏ | 41/50 [00:01<00:00, 23.05it/s]\n 88%|████████▊ | 44/50 [00:01<00:00, 23.07it/s]\n 94%|█████████▍| 47/50 [00:02<00:00, 23.05it/s]\n100%|██████████| 50/50 [00:02<00:00, 23.05it/s]\n100%|██████████| 50/50 [00:02<00:00, 22.66it/s]",
  "output": [
    "https://replicate.delivery/pbxt/flg4VpWCFRXTWCqbW0XeAChWj2zMB0Of7QYkQHdYX3pSxglkA/out-0.png"
  ],
  "data_removed": false,
  "error": null,
  "source": "web",
  "status": "succeeded",
  "created_at": "2024-02-02T20:44:22.939614Z",
  "started_at": "2024-02-02T20:44:22.951807Z",
  "completed_at": "2024-02-02T20:44:26.205548Z",
  "urls": {
    "cancel": "https://api.replicate.com/v1/predictions/elqle2bbcval7o53g7w5wpub4u/cancel",
    "get": "https://api.replicate.com/v1/predictions/elqle2bbcval7o53g7w5wpub4u"
  },
  "metrics": {
    "predict_time": 3.253741,
    "total_time": 3.265934
  }
}

Generated in

3.3 seconds

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