Edición de imágenes

import base64
import os
import requests

with open("input.jpg", "rb") as f:
    image_base64 = base64.b64encode(f.read()).decode("utf-8")

response = requests.post(
    "https://api.venice.ai/api/v1/image/edit",
    headers={
        "Authorization": f"Bearer {os.environ['VENICE_API_KEY']}",
        "Content-Type": "application/json",
    },
    json={
        "model": "firered-image-edit",
        "prompt": "Remove the tourist crowd from the square and keep the architecture intact",
        "image": image_base64,
    },
)

with open("edited.png", "wb") as f:
    f.write(response.content)

import fs from "fs";

const imageBase64 = fs.readFileSync("input.jpg").toString("base64");

const response = await fetch("https://api.venice.ai/api/v1/image/edit", {
  method: "POST",
  headers: {
    Authorization: `Bearer ${process.env.VENICE_API_KEY}`,
    "Content-Type": "application/json",
  },
  body: JSON.stringify({
    model: "firered-image-edit",
    prompt: "Remove the tourist crowd from the square and keep the architecture intact",
    image: imageBase64,
  }),
});

const editedImage = Buffer.from(await response.arrayBuffer());
fs.writeFileSync("edited.png", editedImage);

curl https://api.venice.ai/api/v1/image/edit \
  -H "Authorization: Bearer $VENICE_API_KEY" \
  -H "Content-Type: application/json" \
  -o edited.png \
  -d '{
    "model": "firered-image-edit",
    "prompt": "Colorize this black and white portrait naturally",
    "image": "https://example.com/portrait-bw.jpg"
  }'