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andreasjansson /monkey-island-sd:792eb5da
Input
Run this model in Node.js with one line of code:
npx create-replicate --model=andreasjansson/monkey-island-sd
or set up a project from scratch
Install Replicate’s Node.js client library:
npm install replicateSet 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";
import fs from "node:fs";
const replicate = new Replicate({
auth: process.env.REPLICATE_API_TOKEN,
});Run andreasjansson/monkey-island-sd using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run(
"andreasjansson/monkey-island-sd:792eb5dabf5501925c8d2f8394e06fa26cf17255d0499f4cc11212476b59aa76",
{
input: {
prompt: "sea turtles on the beach in maui",
num_outputs: 1,
guidance_scale: 7.5,
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 replicateSet 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 replicateRun andreasjansson/monkey-island-sd using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run(
"andreasjansson/monkey-island-sd:792eb5dabf5501925c8d2f8394e06fa26cf17255d0499f4cc11212476b59aa76",
input={
"prompt": "sea turtles on the beach in maui",
"num_outputs": 1,
"guidance_scale": 7.5,
"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 andreasjansson/monkey-island-sd 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": "andreasjansson/monkey-island-sd:792eb5dabf5501925c8d2f8394e06fa26cf17255d0499f4cc11212476b59aa76",
"input": {
"prompt": "sea turtles on the beach in maui",
"num_outputs": 1,
"guidance_scale": 7.5,
"num_inference_steps": 50
}
}' \
https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
You can run this model locally using Cog. First, install Cog:
brew install cogIf you don’t have Homebrew, there are other installation options available.
Run this to download the model and run it in your local environment:
cog predict r8.im/andreasjansson/monkey-island-sd@sha256:792eb5dabf5501925c8d2f8394e06fa26cf17255d0499f4cc11212476b59aa76 \
-i 'prompt="sea turtles on the beach in maui"' \
-i 'num_outputs=1' \
-i 'guidance_scale=7.5' \
-i 'num_inference_steps=50'To learn more, take a look at the Cog documentation.
Run this to download the model and run it in your local environment:
docker run -d -p 5000:5000 --gpus=all r8.im/andreasjansson/monkey-island-sd@sha256:792eb5dabf5501925c8d2f8394e06fa26cf17255d0499f4cc11212476b59aa76curl -s -X POST \ -H "Content-Type: application/json" \ -d $'{ "input": { "prompt": "sea turtles on the beach in maui", "num_outputs": 1, "guidance_scale": 7.5, "num_inference_steps": 50 } }' \ http://localhost:5000/predictions
To learn more, take a look at the Cog documentation.
Add a payment method to run this model.
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Output
{
"completed_at": "2022-11-01T21:55:38.534757Z",
"created_at": "2022-11-01T21:55:35.109283Z",
"data_removed": false,
"error": null,
"id": "d7kkwcjfkzhaznfnitjtslsemu",
"input": {
"prompt": "sea turtles on the beach in maui",
"num_outputs": 1,
"guidance_scale": 7.5,
"num_inference_steps": 50
},
"logs": "Using seed: 9984\n\n 0%| | 0/51 [00:00<?, ?it/s]\n 4%|▍ | 2/51 [00:00<00:03, 14.34it/s]\n 8%|▊ | 4/51 [00:00<00:03, 15.31it/s]\n 12%|█▏ | 6/51 [00:00<00:02, 15.64it/s]\n 16%|█▌ | 8/51 [00:00<00:02, 15.90it/s]\n 20%|█▉ | 10/51 [00:00<00:02, 15.94it/s]\n 24%|██▎ | 12/51 [00:00<00:02, 15.97it/s]\n 27%|██▋ | 14/51 [00:00<00:02, 15.98it/s]\n 31%|███▏ | 16/51 [00:01<00:02, 15.89it/s]\n 35%|███▌ | 18/51 [00:01<00:02, 15.93it/s]\n 39%|███▉ | 20/51 [00:01<00:01, 15.91it/s]\n 43%|████▎ | 22/51 [00:01<00:01, 15.96it/s]\n 47%|████▋ | 24/51 [00:01<00:01, 16.03it/s]\n 51%|█████ | 26/51 [00:01<00:01, 16.11it/s]\n 55%|█████▍ | 28/51 [00:01<00:01, 16.13it/s]\n 59%|█████▉ | 30/51 [00:01<00:01, 16.00it/s]\n 63%|██████▎ | 32/51 [00:02<00:01, 16.12it/s]\n 67%|██████▋ | 34/51 [00:02<00:01, 16.21it/s]\n 71%|███████ | 36/51 [00:02<00:00, 16.19it/s]\n 75%|███████▍ | 38/51 [00:02<00:00, 16.24it/s]\n 78%|███████▊ | 40/51 [00:02<00:00, 16.23it/s]\n 82%|████████▏ | 42/51 [00:02<00:00, 16.21it/s]\n 86%|████████▋ | 44/51 [00:02<00:00, 16.26it/s]\n 90%|█████████ | 46/51 [00:02<00:00, 16.26it/s]\n 94%|█████████▍| 48/51 [00:02<00:00, 16.38it/s]\n 98%|█████████▊| 50/51 [00:03<00:00, 16.45it/s]\n100%|██████████| 51/51 [00:03<00:00, 16.10it/s]",
"metrics": {
"predict_time": 3.384878,
"total_time": 3.425474
},
"output": [
"https://replicate.delivery/pbxt/aJPVT6bLWXbsOR4lNsnfeBGts5iAKR4zdTIuQT897wqafo3fA/out-0.png"
],
"started_at": "2022-11-01T21:55:35.149879Z",
"status": "succeeded",
"urls": {
"get": "https://api.replicate.com/v1/predictions/d7kkwcjfkzhaznfnitjtslsemu",
"cancel": "https://api.replicate.com/v1/predictions/d7kkwcjfkzhaznfnitjtslsemu/cancel"
},
"version": "792eb5dabf5501925c8d2f8394e06fa26cf17255d0499f4cc11212476b59aa76"
}Generated in
Using seed: 9984
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