appnation/text2image – Run with an API on Replicate

appnation / text2image

Cold

Public
1.8K runs
L40S

Iterate in playground

Run with an API

Playground API Examples README Versions

Input

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

npx create-replicate --model=appnation/text2image

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 appnation/text2image using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "appnation/text2image:ca551a3291d90dee092934c8ba2fe390ec6c52c4c3473ca66d58e3ebdfe9657d",
  {
    input: {
      width: 1024,
      height: 1024,
      prompt: "dark shot, front shot, closeup photo of a 25 y.o latino man, perfect eyes, natural skin, skin moles, looks at viewer, cinematic shot",
      num_outputs: 1,
      negative_prompt: "full body, teeth, hands, long head, (nsfw, porn, nudity, naked), (cartoon, drawing), old, low quality, disfigured, bad anatomy, mutated, twisted fingers, multiple people, text, writing"
    }
  }
);

// 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 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 appnation/text2image using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "appnation/text2image:ca551a3291d90dee092934c8ba2fe390ec6c52c4c3473ca66d58e3ebdfe9657d",
    input={
        "width": 1024,
        "height": 1024,
        "prompt": "dark shot, front shot, closeup photo of a 25 y.o latino man, perfect eyes, natural skin, skin moles, looks at viewer, cinematic shot",
        "num_outputs": 1,
        "negative_prompt": "full body, teeth, hands, long head, (nsfw, porn, nudity, naked), (cartoon, drawing), old, low quality, disfigured, bad anatomy, mutated, twisted fingers, multiple people, text, writing"
    }
)
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 appnation/text2image 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": "appnation/text2image:ca551a3291d90dee092934c8ba2fe390ec6c52c4c3473ca66d58e3ebdfe9657d",
    "input": {
      "width": 1024,
      "height": 1024,
      "prompt": "dark shot, front shot, closeup photo of a 25 y.o latino man, perfect eyes, natural skin, skin moles, looks at viewer, cinematic shot",
      "num_outputs": 1,
      "negative_prompt": "full body, teeth, hands, long head, (nsfw, porn, nudity, naked), (cartoon, drawing), old, low quality, disfigured, bad anatomy, mutated, twisted fingers, multiple people, text, writing"
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

No output yet! Press "Submit" to start a prediction.

Run time and cost

This model costs approximately $0.0072 to run on Replicate, or 138 runs per $1, but this varies depending on your inputs. It is also open source and you can run it on your own computer with Docker.

This model runs on Nvidia L40S GPU hardware. Predictions typically complete within 8 seconds. The predict time for this model varies significantly based on the inputs.

Readme

This model doesn't have a readme.