fofr/image-prompts:ba4130c1 – Run with an API on Replicate

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fofr /image-prompts:ba4130c1

Playground API

Input

prompt

*string

Shift + Return to add a new line

Prompt to send to FLAN-T5.

max_length

integer

(minimum: 1)

Maximum number of tokens to generate. A word is generally 2-3 tokens

Default: 50

temperature

number

(minimum: 0.01, maximum: 5)

Adjusts randomness of outputs, greater than 1 is random and 0 is deterministic, 0.75 is a good starting value.

Default: 0.75

top_p

number

(minimum: 0.01, maximum: 1)

When decoding text, samples from the top p percentage of most likely tokens; lower to ignore less likely tokens

Default: 1

repetition_penalty

number

(minimum: 0.01, maximum: 5)

Penalty for repeated words in generated text; 1 is no penalty, values greater than 1 discourage repetition, less than 1 encourage it.

Default: 1

debug

boolean

provide debugging output in logs

Default: false

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

npx create-replicate --model=fofr/image-prompts

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

const output = await replicate.run(
  "fofr/image-prompts:ba4130c13f3f1cd9771bc671bb13eab6ad5d839b2e55723b40742c03ef7f99ff",
  {
    input: {
      debug: false,
      top_p: 1,
      prompt: "Image: a painting of a flan",
      max_length: 100,
      temperature: 1,
      repetition_penalty: 1.5
    }
  }
);

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

output = replicate.run(
    "fofr/image-prompts:ba4130c13f3f1cd9771bc671bb13eab6ad5d839b2e55723b40742c03ef7f99ff",
    input={
        "debug": False,
        "top_p": 1,
        "prompt": "Image: a painting of a flan",
        "max_length": 100,
        "temperature": 1,
        "repetition_penalty": 1.5
    }
)

# The fofr/image-prompts 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/image-prompts/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 fofr/image-prompts 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/image-prompts:ba4130c13f3f1cd9771bc671bb13eab6ad5d839b2e55723b40742c03ef7f99ff",
    "input": {
      "debug": false,
      "top_p": 1,
      "prompt": "Image: a painting of a flan",
      "max_length": 100,
      "temperature": 1,
      "repetition_penalty": 1.5
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

Prompt: a painting of a flan, from above, dripping with syrup, dessert, traditional, summer, 3d render, illustration --ar 2:1

Generated in

1.4 seconds

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