Pollinations.ai 免费 API 接口怎么用？多模态生成 + 实时内容流，开发者集成全攻略

import requests

prompt = "a futuristic cityscape with flying cars"
url = f"https://image.pollinations.ai/prompt/{requests.utils.quote(prompt)}"
response = requests.get(url)

with open("generated_image.jpg", "wb") as f:
    f.write(response.content)

url = f"https://image.pollinations.ai/prompt/{requests.utils.quote(prompt)}?width=1280&height=720"

# 生成图像
image_prompt = "宁静的乡村夜晚，萤火虫在草丛中飞舞"
image_url = f"https://image.pollinations.ai/prompt/{requests.utils.quote(image_prompt)}"
image_response = requests.get(image_url)

# 生成音频
audio_prompt = "舒缓的乡村夜晚背景音乐"
audio_url = f"https://text.pollinations.ai/{requests.utils.quote(audio_prompt)}?model=openai-audio&voice=nova"
audio_response = requests.get(audio_url)

# 保存文件
with open("generated_image.jpg", "wb") as f:
    f.write(image_response.content)
with open("generated_audio.mp3", "wb") as f:
    f.write(audio_response.content)

import base64

# 读取图像文件并转换为Base64编码
with open("landscape.jpg", "rb") as f:
    image_data = base64.b64encode(f.read()).decode("utf-8")

# 构造请求
url = "https://text.pollinations.ai/openai"
headers = {"Content-Type": "application/json"}
data = {
    "messages": [
        {
            "role": "user",
            "content": [
                {"type": "text", "text": "描述这张图片的内容"},
                {"type": "image_url", "image_url": {"url": f"data:image/jpeg;base64,{image_data}"}}
            ]
        }
    ],
    "model": "openai"
}

response = requests.post(url, headers=headers, json=data)
print(response.json()["choices"][]["message"]["content"])

url = "https://image.pollinations.ai/feed"
response = requests.get(url, stream=True)

for chunk in response.iter_content(chunk_size=):
    if chunk:
        # 处理实时流数据
        print(chunk)

import { createEventSource } from 'fetch-event-source';

const eventSource = createEventSource('https://text.pollinations.ai/feed');

eventSource.addEventListener('message', (event) => {
    const text = event.data;
    // 更新界面显示
    document.getElementById('output').innerHTML += text;
});

const Pollinations = require('pollinations-sdk');

const generator = new Pollinations.ImageGenerator();
const params = {
    prompt: 'a beautiful sunset on the beach',
    model: 'flux',
    width: ,
    height: 
};

generator.generateImage(params)
    .then((imageBuffer) => {
        // 保存图像
        require('fs').writeFileSync('generated_image.jpg', imageBuffer);
    })
    .catch((error) => {
        console.error('Error:', error.message);
    });

try:
    response = requests.get(url)
    response.raise_for_status()
except requests.exceptions.HTTPError as e:
    if response.status_code == :
        print("NSFW content detected.")
    else:
        print(f"Request failed: {e}")
except requests.exceptions.RequestException as e:
    print(f"Request error: {e}")