範例:文字轉圖片生成
使用 Atlas Cloud API 從文字生成圖片的完整範例
概覽
本教學將帶您完成使用 Atlas Cloud API 的完整文字轉圖片生成工作流程——從提交請求到取得最終圖片。
前置條件
- 擁有 API 金鑰的 Atlas Cloud 帳戶
- Python 3.7+ 搭配
requests函式庫,或 Node.js 18+
完整 Python 範例
import requests
import time
import os
API_KEY = os.environ.get("ATLASCLOUD_API_KEY", "your-api-key")
BASE_URL = "https://api.atlascloud.ai/api/v1"
def generate_image(prompt, model="seedream-3.0"):
"""提交圖片生成任務。"""
response = requests.post(
f"{BASE_URL}/model/generateImage",
headers={
"Authorization": f"Bearer {API_KEY}",
"Content-Type": "application/json"
},
json={
"model": model,
"prompt": prompt
}
)
response.raise_for_status()
return response.json()["data"]["id"]
def wait_for_result(prediction_id, interval=2, timeout=120):
"""輪詢生成結果。"""
elapsed = 0
while elapsed < timeout:
response = requests.get(
f"{BASE_URL}/model/prediction/{prediction_id}",
headers={"Authorization": f"Bearer {API_KEY}"}
)
result = response.json()
status = result["data"]["status"]
if status == "completed":
return result["data"]["outputs"][0]
elif status == "failed":
raise Exception(f"Failed: {result['data'].get('error')}")
print(f" Status: {status} ({elapsed}s)")
time.sleep(interval)
elapsed += interval
raise TimeoutError("Generation timed out")
# 生成圖片
prompt = "A majestic snow-capped mountain reflected in a crystal-clear lake at sunrise, photorealistic"
print(f"Generating image: {prompt}")
prediction_id = generate_image(prompt)
print(f"Task submitted: {prediction_id}")
image_url = wait_for_result(prediction_id)
print(f"Image ready: {image_url}")完整 Node.js 範例
const API_KEY = process.env.ATLASCLOUD_API_KEY || "your-api-key";
const BASE_URL = "https://api.atlascloud.ai/api/v1";
async function generateImage(prompt, model = "seedream-3.0") {
const response = await fetch(`${BASE_URL}/model/generateImage`, {
method: "POST",
headers: {
Authorization: `Bearer ${API_KEY}`,
"Content-Type": "application/json",
},
body: JSON.stringify({ model, prompt }),
});
if (!response.ok) throw new Error(`HTTP ${response.status}`);
const data = await response.json();
return data.data.id;
}
async function waitForResult(predictionId, interval = 2000, timeout = 120000) {
const start = Date.now();
while (Date.now() - start < timeout) {
const response = await fetch(
`${BASE_URL}/model/prediction/${predictionId}`,
{ headers: { Authorization: `Bearer ${API_KEY}` } }
);
const result = await response.json();
const status = result.data.status;
if (status === "completed") return result.data.outputs[0];
if (status === "failed") throw new Error(result.data.error);
console.log(` Status: ${status}`);
await new Promise((r) => setTimeout(r, interval));
}
throw new Error("Timeout");
}
// 執行
const prompt =
"A majestic snow-capped mountain reflected in a crystal-clear lake at sunrise, photorealistic";
console.log(`Generating: ${prompt}`);
const predictionId = await generateImage(prompt);
console.log(`Task: ${predictionId}`);
const imageUrl = await waitForResult(predictionId);
console.log(`Image: ${imageUrl}`);cURL 範例
# 第一步:提交生成任務
PREDICTION_ID=$(curl -s -X POST https://api.atlascloud.ai/api/v1/model/generateImage \
-H "Authorization: Bearer $ATLASCLOUD_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "seedream-3.0",
"prompt": "A majestic snow-capped mountain reflected in a crystal-clear lake"
}' | jq -r '.data.id')
echo "Prediction ID: $PREDICTION_ID"
# 第二步:輪詢取得結果
while true; do
RESULT=$(curl -s "https://api.atlascloud.ai/api/v1/model/prediction/$PREDICTION_ID" \
-H "Authorization: Bearer $ATLASCLOUD_API_KEY")
STATUS=$(echo $RESULT | jq -r '.data.status')
echo "Status: $STATUS"
if [ "$STATUS" = "completed" ]; then
echo $RESULT | jq -r '.data.outputs[0]'
break
elif [ "$STATUS" = "failed" ]; then
echo "Failed: $(echo $RESULT | jq -r '.data.error')"
break
fi
sleep 2
done技巧
- 模型選擇:嘗試不同模型以獲得不同風格。Seedream 擅長寫實圖片,FLUX 適合藝術風格
- 提示詞工程:具體描述風格、構圖、光線、色彩和氛圍
- 批次生成:平行提交多個請求以進行批次圖片生成
- 錯誤處理:務必檢查
failed狀態並優雅處理逾時