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from flask import Flask, request, jsonify, send_file, render_template_string | |
import requests | |
import io | |
import os | |
import random | |
from PIL import Image | |
from deep_translator import GoogleTranslator | |
from flask_cors import CORS # 追加 | |
app = Flask(__name__) | |
CORS(app) # 追加: CORS を有効にする | |
API_URL = "https://api-inference.huggingface.co/models/black-forest-labs/FLUX.1-dev" | |
API_TOKEN = os.getenv("HF_READ_TOKEN") | |
headers = {"Authorization": f"Bearer {API_TOKEN}"} | |
timeout = 300 # タイムアウトを300秒に設定 | |
# Function to query the API and return the generated image | |
def query(prompt, negative_prompt="", steps=35, cfg_scale=7, sampler="DPM++ 2M Karras", seed=-1, strength=0.7, width=1024, height=1024): | |
if not prompt: | |
return None, "Prompt is required" | |
key = random.randint(0, 999) | |
# Translate the prompt from Russian to English if necessary | |
prompt = GoogleTranslator(source='ru', target='en').translate(prompt) | |
print(f'Generation {key} translation: {prompt}') | |
# Add some extra flair to the prompt | |
prompt = f"{prompt} | ultra detail, ultra elaboration, ultra quality, perfect." | |
print(f'Generation {key}: {prompt}') | |
payload = { | |
"inputs": prompt, | |
"is_negative": False, | |
"steps": steps, | |
"cfg_scale": cfg_scale, | |
"seed": seed if seed != -1 else random.randint(1, 1000000000), | |
"strength": strength, | |
"parameters": { | |
"width": width, | |
"height": height | |
} | |
} | |
for attempt in range(3): # 最大3回の再試行 | |
try: | |
response = requests.post(API_URL, headers=headers, json=payload, timeout=timeout) | |
if response.status_code != 200: | |
return None, f"Error: Failed to get image. Status code: {response.status_code}, Details: {response.text}" | |
image_bytes = response.content | |
image = Image.open(io.BytesIO(image_bytes)) | |
return image, None | |
except requests.exceptions.Timeout: | |
if attempt < 2: # 最後の試行でない場合は再試行 | |
print("Timeout occurred, retrying...") | |
continue | |
return None, "Error: The request timed out. Please try again." | |
except requests.exceptions.RequestException as e: | |
return None, f"Request Exception: {str(e)}" | |
except Exception as e: | |
return None, f"Error when trying to open the image: {e}" | |
# HTML template for the index page (unchanged) | |
index_html = """ | |
<!DOCTYPE html> | |
<html lang="ja"> | |
<head> | |
<meta charset="UTF-8"> | |
<meta name="viewport" content="width=device-width, initial-scale=1.0"> | |
<title>FLUX.1-Dev Image Generator</title> | |
<script> | |
async function generateImage() { | |
const prompt = document.getElementById("prompt").value; | |
const negative_prompt = document.getElementById("negative_prompt").value; | |
const width = document.getElementById("width").value; | |
const height = document.getElementById("height").value; | |
const steps = document.getElementById("steps").value; | |
const cfgs = document.getElementById("cfgs").value; | |
const sampler = document.getElementById("sampler").value; | |
const strength = document.getElementById("strength").value; | |
const seed = document.getElementById("seed").value; | |
const button = document.getElementById("generate-button"); | |
const errorMessage = document.getElementById("error-message"); | |
button.disabled = true; // ボタンを無効化 | |
errorMessage.textContent = ''; // エラーメッセージをクリア | |
const params = new URLSearchParams({ | |
prompt, | |
negative_prompt, | |
width, | |
height, | |
steps, | |
cfgs, | |
sampler, | |
strength, | |
seed | |
}); | |
try { | |
const response = await fetch(`https://soiz-flux-1-dev-serverless.hf.space/generate?${params.toString()}`); | |
if (!response.ok) { | |
throw new Error('画像生成に失敗しました'); | |
} | |
const imageBlob = await response.blob(); | |
const reader = new FileReader(); | |
reader.onloadend = function () { | |
const img = document.getElementById("generated-image"); | |
img.src = reader.result; // dataURLを設定 | |
img.style.display = 'block'; // 画像を表示 | |
}; | |
reader.readAsDataURL(imageBlob); | |
} catch (error) { | |
errorMessage.textContent = error.message; // エラーメッセージを表示 | |
console.error(error); // エラーをコンソールに出力 | |
} finally { | |
button.disabled = false; // ボタンを再有効化 | |
} | |
} | |
function syncWidth(value) { | |
document.getElementById("width-slider").value = value; | |
} | |
function syncHeight(value) { | |
document.getElementById("height-slider").value = value; | |
} | |
function updateWidthInput() { | |
const widthSlider = document.getElementById("width-slider"); | |
const widthInput = document.getElementById("width"); | |
widthInput.value = widthSlider.value; | |
} | |
function updateHeightInput() { | |
const heightSlider = document.getElementById("height-slider"); | |
const heightInput = document.getElementById("height"); | |
heightInput.value = heightSlider.value; | |
} | |
</script> | |
</head> | |
<body> | |
<h1>FLUX.1-Dev Image Generator</h1> | |
<form onsubmit="event.preventDefault(); generateImage();"> | |
<label for="prompt">Prompt:</label><br> | |
<textarea id="prompt" name="prompt" rows="4" cols="50" placeholder="Enter your prompt" required></textarea><br><br> | |
<label for="negative_prompt">Negative Prompt:</label><br> | |
<textarea id="negative_prompt" name="negative_prompt" rows="4" cols="50" placeholder="Enter negative prompt (optional)"></textarea><br><br> | |
<label for="width">Width:</label> | |
<input type="number" id="width" name="width" value="1024" min="64" max="2048" step="8" style="width:250px" oninput="syncWidth(this.value)"> | |
<input type="range" id="width-slider" name="width-slider" min="64" max="2048" value="1024" step="8" style="width:250px; display: inline-block;" oninput="updateWidthInput()"><br><br> | |
<label for="height">Height:</label> | |
<input type="number" id="height" name="height" value="1024" min="64" max="2048" step="8" oninput="syncHeight(this.value)"> | |
<input type="range" id="height-slider" name="height-slider" min="64" max="2048" value="1024" step="8" style="width:250px; display: inline-block;" oninput="updateHeightInput()"><br><br> | |
<label for="steps">Sampling Steps:</label> | |
<input type="number" id="steps" name="steps" value="35"><br><br> | |
<label for="cfgs">CFG Scale:</label> | |
<input type="number" id="cfgs" name="cfgs" value="7"><br><br> | |
<label for="sampler">Sampling Method:</label> | |
<select id="sampler" name="sampler"> | |
<option value="DPM++ 2M Karras">DPM++ 2M Karras</option> | |
<option value="DPM++ SDE Karras">DPM++ SDE Karras</option> | |
<option value="Euler">Euler</option> | |
<option value="Euler a">Euler a</option> | |
<option value="Heun">Heun</option> | |
<option value="DDIM">DDIM</option> | |
</select><br><br> | |
<label for="strength">Strength:</label> | |
<input type="number" id="strength" name="strength" value="0.7" step="0.01" min="0" max="1"><br><br> | |
<label for="seed">Seed:</label> | |
<input type="number" id="seed" name="seed" value="-1" step="1"><br><br> | |
<button type="submit" id="generate-button">Generate Image</button> | |
</form> | |
<div id="error-message" style="color: red;"></div> | |
<h2>Generated Image:</h2> | |
<img id="generated-image" src="" alt="Generated Image" style="max-width: 100%; height: auto; display: none;"> | |
</body> | |
</html> | |
""" | |
def index(): | |
return render_template_string(index_html) | |
def generate_image(): | |
# Retrieve query parameters | |
prompt = request.args.get("prompt", "") | |
negative_prompt = request.args.get("negative_prompt", "") | |
steps = int(request.args.get("steps", 35)) | |
cfg_scale = float(request.args.get("cfgs", 7)) | |
sampler = request.args.get("sampler", "DPM++ 2M Karras") | |
strength = float(request.args.get("strength", 0.7)) | |
seed = int(request.args.get("seed", -1)) | |
width = int(request.args.get("width", 1024)) | |
height = int(request.args.get("height", 1024)) | |
# Call the query function to generate the image | |
image, error = query(prompt, negative_prompt, steps, cfg_scale, sampler, seed, strength, width, height) | |
if error: | |
return jsonify({"error": error}), 400 | |
# Save the image to a BytesIO object and return it | |
img_bytes = io.BytesIO() | |
image.save(img_bytes, format='PNG') | |
img_bytes.seek(0) | |
return send_file(img_bytes, mimetype='image/png') | |
if __name__ == "__main__": | |
app.run(host='0.0.0.0', port=7860) | |