Prediction

yorickvp/llava-13b:01359160a4cff57c6b7d4dc625d0019d390c7c46f553714069f114b392f4a726

Model

yorickvp/llava-13b:01359160

c4jewm3bmyqz4og3y2itvrvc5u

Status

Succeeded

Source

Web

Hardware

A40 (Large)

Total duration

25.6s

Created

about 1 year ago by @zeke

Input

image
top_p: 1
prompt: Here's a photo of my fridge today. Please give me some simple recipe ideas based on its contents.
max_tokens: 1024
temperature: 0.2

{
  "image": "https://replicate.delivery/pbxt/KZOUXoMy3OxnyOeIA0LNzhtWDjBZLm9T6IPm5lbKcFT8lybo/fridge.png",
  "top_p": 1,
  "prompt": "Here's a photo of my fridge today. Please give me some simple recipe ideas based on its contents.",
  "max_tokens": 1024,
  "temperature": 0.2
}

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 yorickvp/llava-13b using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "yorickvp/llava-13b:01359160a4cff57c6b7d4dc625d0019d390c7c46f553714069f114b392f4a726",
  {
    input: {
      image: "https://replicate.delivery/pbxt/KZOUXoMy3OxnyOeIA0LNzhtWDjBZLm9T6IPm5lbKcFT8lybo/fridge.png",
      top_p: 1,
      prompt: "Here's a photo of my fridge today. Please give me some simple recipe ideas based on its contents.",
      max_tokens: 1024,
      temperature: 0.2
    }
  }
);

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 yorickvp/llava-13b using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "yorickvp/llava-13b:01359160a4cff57c6b7d4dc625d0019d390c7c46f553714069f114b392f4a726",
    input={
        "image": "https://replicate.delivery/pbxt/KZOUXoMy3OxnyOeIA0LNzhtWDjBZLm9T6IPm5lbKcFT8lybo/fridge.png",
        "top_p": 1,
        "prompt": "Here's a photo of my fridge today. Please give me some simple recipe ideas based on its contents.",
        "max_tokens": 1024,
        "temperature": 0.2
    }
)

# The yorickvp/llava-13b model can stream output as it's running.
# The predict method returns an iterator, and you can iterate over that output.
for item in output:
    # https://replicate.com/yorickvp/llava-13b/api#output-schema
    print(item, end="")

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 yorickvp/llava-13b 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": "yorickvp/llava-13b:01359160a4cff57c6b7d4dc625d0019d390c7c46f553714069f114b392f4a726",
    "input": {
      "image": "https://replicate.delivery/pbxt/KZOUXoMy3OxnyOeIA0LNzhtWDjBZLm9T6IPm5lbKcFT8lybo/fridge.png",
      "top_p": 1,
      "prompt": "Here\'s a photo of my fridge today. Please give me some simple recipe ideas based on its contents.",
      "max_tokens": 1024,
      "temperature": 0.2
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

Based on the contents of your well-stocked refrigerator, here are some simple recipe ideas: 1. Fruit salad: Combine the apples, oranges, and bananas in a large bowl. Add a squeeze of lemon juice to prevent browning, and toss gently. You can also add a sprinkle of chopped mint or a drizzle of honey for extra flavor. 2. Veggie stir-fry: Chop the broccoli and carrots into bite-sized pieces. Heat a pan with some oil, and sauté the vegetables until they are tender. Add your choice of protein (e.g., tofu, chicken, or shrimp) and a sauce (e.g., soy sauce, oyster sauce, or teriyaki sauce). Serve over rice or noodles. 3. Smoothie: Blend the oranges, bananas, and apples with some ice and a splash of milk or yogurt. You can also add a handful of spinach or kale for extra nutrients and a boost of flavor. 4. Vegetable soup: Chop the carrots, celery, and onions into small pieces. Heat a pot with some oil, and sauté the vegetables until they are tender. Add vegetable or chicken broth, and let it simmer for about 20 minutes. Add your favorite herbs and spices, such as thyme, rosemary, or bay leaves, for extra flavor. 5. Baked apples: Core and slice the apples, and arrange them in a baking dish. Add a sprinkle of cinnamon, nutmeg, and a drizzle of honey. Bake in the oven at 350°F (175°C) for about 20-25 minutes, or until the apples are tender and caramelized. These recipes are just a starting point, and you can always get creative with your ingredients and flavors. Enjoy your meals!

{
  "completed_at": "2024-03-14T19:23:46.794011Z",
  "created_at": "2024-03-14T19:23:21.152730Z",
  "data_removed": false,
  "error": null,
  "id": "c4jewm3bmyqz4og3y2itvrvc5u",
  "input": {
    "image": "https://replicate.delivery/pbxt/KZOUXoMy3OxnyOeIA0LNzhtWDjBZLm9T6IPm5lbKcFT8lybo/fridge.png",
    "top_p": 1,
    "prompt": "Here's a photo of my fridge today. Please give me some simple recipe ideas based on its contents.",
    "max_tokens": 1024,
    "temperature": 0.2
  },
  "logs": null,
  "metrics": {
    "predict_time": 25.636095,
    "total_time": 25.641281
  },
  "output": [
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    "\n",
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  ],
  "started_at": "2024-03-14T19:23:21.157916Z",
  "status": "succeeded",
  "urls": {
    "stream": "https://streaming-api.svc.us.c.replicate.net/v1/streams/cn7ea4m22fktlyh75iaoccfuzhgyp2oczmkb2xtt5yc73brimtaa",
    "get": "https://api.replicate.com/v1/predictions/c4jewm3bmyqz4og3y2itvrvc5u",
    "cancel": "https://api.replicate.com/v1/predictions/c4jewm3bmyqz4og3y2itvrvc5u/cancel"
  },
  "version": "01359160a4cff57c6b7d4dc625d0019d390c7c46f553714069f114b392f4a726"
}

Generated in

25.6 seconds

Tweak it Report