peter65374/sam-vit:4e46fd7b – Run with an API on Replicate

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peter65374 /sam-vit:4e46fd7b

Playground API

Input

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

npx create-replicate --model=peter65374/sam-vit

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 peter65374/sam-vit using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "peter65374/sam-vit:4e46fd7bd39a1679b028d9539a5426ee01d8b854c9c5e794b9d03705c40d6f9b",
  {
    input: {
      source_image: "https://replicate.delivery/pbxt/JiJLYup30p9BZ87oEA4frk2zdceRq7ExURSV9OtVqFf8MBlp/ComfyUI_00007_test.png"
    }
  }
);
console.log(output);

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 peter65374/sam-vit using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "peter65374/sam-vit:4e46fd7bd39a1679b028d9539a5426ee01d8b854c9c5e794b9d03705c40d6f9b",
    input={
        "source_image": "https://replicate.delivery/pbxt/JiJLYup30p9BZ87oEA4frk2zdceRq7ExURSV9OtVqFf8MBlp/ComfyUI_00007_test.png"
    }
)
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 peter65374/sam-vit 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": "4e46fd7bd39a1679b028d9539a5426ee01d8b854c9c5e794b9d03705c40d6f9b",
    "input": {
      "source_image": "https://replicate.delivery/pbxt/JiJLYup30p9BZ87oEA4frk2zdceRq7ExURSV9OtVqFf8MBlp/ComfyUI_00007_test.png"
    }
  }' \
  https://api.replicate.com/v1/predictions

To 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 cog

If 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/peter65374/sam-vit@sha256:4e46fd7bd39a1679b028d9539a5426ee01d8b854c9c5e794b9d03705c40d6f9b \
  -i 'source_image="https://replicate.delivery/pbxt/JiJLYup30p9BZ87oEA4frk2zdceRq7ExURSV9OtVqFf8MBlp/ComfyUI_00007_test.png"'

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/peter65374/sam-vit@sha256:4e46fd7bd39a1679b028d9539a5426ee01d8b854c9c5e794b9d03705c40d6f9b
curl -s -X POST \
  -H "Content-Type: application/json" \
  -d $'{
    "input": {
      "source_image": "https://replicate.delivery/pbxt/JiJLYup30p9BZ87oEA4frk2zdceRq7ExURSV9OtVqFf8MBlp/ComfyUI_00007_test.png"
    }
  }' \
  http://localhost:5000/predictions

To learn more, take a look at the Cog documentation.

Output

https://replicate.delivery/pbxt/twXbheQ2lZw1IKbrMpwcHCfnlyc36Sm7SYEI1b7bqoMIh9uRA/tmpxy0btoy2.npy

Generated in

2.6 seconds

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