Prediction

Model

fofr/llama2-prompter:4f815ea4

bvbyjmjbjdjxj2z2d76zq7j32q

Status

Succeeded

Source

Web

Hardware

A100 (40GB)

Total duration

3.8s

Created

over 2 years ago

Webhook

–

Input

prompt: [PROMPT] a spooky ghost, in the style of
max_new_tokens: 128
min_new_tokens: 10
temperature: 0.75
top_p: 0.9
top_k: 50
stop_sequences: [/PROMPT]
debug: false

{
  "debug": false,
  "max_new_tokens": 128,
  "min_new_tokens": 10,
  "prompt": "[PROMPT] a spooky ghost, in the style of",
  "stop_sequences": "[/PROMPT]",
  "temperature": 0.75,
  "top_k": 50,
  "top_p": 0.9
}

Install Replicate’s Node.js client library:

npm install replicate

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=r8_cQc**********************************

This is your API token. Keep it to yourself.

Import and set up the client:

import Replicate from "replicate";

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

Run fofr/llama2-prompter using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "fofr/llama2-prompter:4f815ea4e4d6d070cd00469d1960c303f15b9b5634a8faa0a0f0136a93a8acd5",
  {
    input: {
      debug: false,
      max_new_tokens: 128,
      min_new_tokens: 10,
      prompt: "[PROMPT] a spooky ghost, in the style of",
      stop_sequences: "[/PROMPT]",
      temperature: 0.75,
      top_k: 50,
      top_p: 0.9
    }
  }
);

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=r8_cQc**********************************

This is your API token. Keep it to yourself.

Import the client:

import replicate

Run fofr/llama2-prompter using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "fofr/llama2-prompter:4f815ea4e4d6d070cd00469d1960c303f15b9b5634a8faa0a0f0136a93a8acd5",
    input={
        "debug": False,
        "max_new_tokens": 128,
        "min_new_tokens": 10,
        "prompt": "[PROMPT] a spooky ghost, in the style of",
        "stop_sequences": "[/PROMPT]",
        "temperature": 0.75,
        "top_k": 50,
        "top_p": 0.9
    }
)

# The fofr/llama2-prompter 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/fofr/llama2-prompter/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=r8_cQc**********************************

This is your API token. Keep it to yourself.

Run fofr/llama2-prompter 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": "fofr/llama2-prompter:4f815ea4e4d6d070cd00469d1960c303f15b9b5634a8faa0a0f0136a93a8acd5",
    "input": {
      "debug": false,
      "max_new_tokens": 128,
      "min_new_tokens": 10,
      "prompt": "[PROMPT] a spooky ghost, in the style of",
      "stop_sequences": "[/PROMPT]",
      "temperature": 0.75,
      "top_k": 50,
      "top_p": 0.9
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output


[PROMPT] a spooky ghost, in the style of realistic illustrations, fantasy art, cg, shiny, cobwebs, 32k uhd, dark gray and amber

Generated in

3.8 seconds

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