prompthero/poolsuite-diffusion:e1450d9d – Run with an API on Replicate

Version

You're looking at a specific version of this model. Jump to the model overview.

prompthero /poolsuite-diffusion:e1450d9d

Playground API

Input

Run this model in Node.js with one line of code:

npx create-replicate --model=prompthero/poolsuite-diffusion

or set up a project from scratch

Install Replicate’s Node.js client library:

npm install replicate

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=<paste-your-token-here>

Find your API token in your account settings.

Import and set up the client:

import Replicate from "replicate";

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

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

const output = await replicate.run(
  "prompthero/poolsuite-diffusion:e1450d9d6feddf74dd03f61ad1be0a002c1a4bef4075d447452f774d7cd79814",
  {
    input: {
      width: 512,
      height: 512,
      prompt: "photography of a manor, poolsuite style",
      num_outputs: 1,
      guidance_scale: 7,
      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

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=<paste-your-token-here>

Find your API token in your account settings.

Import the client:

import replicate

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

output = replicate.run(
    "prompthero/poolsuite-diffusion:e1450d9d6feddf74dd03f61ad1be0a002c1a4bef4075d447452f774d7cd79814",
    input={
        "width": 512,
        "height": 512,
        "prompt": "photography of a manor, poolsuite style",
        "num_outputs": 1,
        "guidance_scale": 7,
        "num_inference_steps": 50
    }
)
print(output)

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=<paste-your-token-here>

Find your API token in your account settings.

Run prompthero/poolsuite-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": "prompthero/poolsuite-diffusion:e1450d9d6feddf74dd03f61ad1be0a002c1a4bef4075d447452f774d7cd79814",
    "input": {
      "width": 512,
      "height": 512,
      "prompt": "photography of a manor, poolsuite style",
      "num_outputs": 1,
      "guidance_scale": 7,
      "num_inference_steps": 50
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

{
  "completed_at": "2022-11-15T22:26:35.549130Z",
  "created_at": "2022-11-15T22:26:31.536167Z",
  "data_removed": false,
  "error": null,
  "id": "zcs6cpl4xzgahnxrxflaayqgr4",
  "input": {
    "width": 512,
    "height": 512,
    "prompt": "photography of a manor, poolsuite style",
    "num_outputs": "1",
    "guidance_scale": "7",
    "num_inference_steps": "50"
  },
  "logs": "Using seed: 59959\nGlobal seed set to 59959\n  0%|          | 0/50 [00:00<?, ?it/s]\n  4%|▍         | 2/50 [00:00<00:03, 12.78it/s]\n  8%|▊         | 4/50 [00:00<00:03, 13.58it/s]\n 12%|█▏        | 6/50 [00:00<00:03, 13.94it/s]\n 16%|█▌        | 8/50 [00:00<00:02, 14.13it/s]\n 20%|██        | 10/50 [00:00<00:02, 14.22it/s]\n 24%|██▍       | 12/50 [00:00<00:02, 14.26it/s]\n 28%|██▊       | 14/50 [00:00<00:02, 14.30it/s]\n 32%|███▏      | 16/50 [00:01<00:02, 14.27it/s]\n 36%|███▌      | 18/50 [00:01<00:02, 14.25it/s]\n 40%|████      | 20/50 [00:01<00:02, 14.28it/s]\n 44%|████▍     | 22/50 [00:01<00:01, 14.29it/s]\n 48%|████▊     | 24/50 [00:01<00:01, 14.07it/s]\n 52%|█████▏    | 26/50 [00:01<00:01, 14.14it/s]\n 56%|█████▌    | 28/50 [00:01<00:01, 14.16it/s]\n 60%|██████    | 30/50 [00:02<00:01, 14.20it/s]\n 64%|██████▍   | 32/50 [00:02<00:01, 14.21it/s]\n 68%|██████▊   | 34/50 [00:02<00:01, 14.25it/s]\n 72%|███████▏  | 36/50 [00:02<00:00, 14.27it/s]\n 76%|███████▌  | 38/50 [00:02<00:00, 14.30it/s]\n 80%|████████  | 40/50 [00:02<00:00, 14.33it/s]\n 84%|████████▍ | 42/50 [00:02<00:00, 14.33it/s]\n 88%|████████▊ | 44/50 [00:03<00:00, 14.24it/s]\n 92%|█████████▏| 46/50 [00:03<00:00, 14.22it/s]\n 96%|█████████▌| 48/50 [00:03<00:00, 14.23it/s]\n100%|██████████| 50/50 [00:03<00:00, 14.22it/s]\n100%|██████████| 50/50 [00:03<00:00, 14.19it/s]",
  "metrics": {
    "predict_time": 3.979455,
    "total_time": 4.012963
  },
  "output": [
    "https://replicate.delivery/pbxt/E6hztf2wfEq1DUaIzTnLHl0bS5SJpdFoTlY64wnX6TlbQcAQA/out-0.png"
  ],
  "started_at": "2022-11-15T22:26:31.569675Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/zcs6cpl4xzgahnxrxflaayqgr4",
    "cancel": "https://api.replicate.com/v1/predictions/zcs6cpl4xzgahnxrxflaayqgr4/cancel"
  },
  "version": "e1450d9d6feddf74dd03f61ad1be0a002c1a4bef4075d447452f774d7cd79814"
}

Generated in

4.0 seconds

Tweak itReport