anime-kawai-diffusion2

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soiz commited on Oct 25

Commit

ef72775

•

1 Parent(s): e27808c

Update app.py

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Files changed (1) hide show

app.py +83 -80

app.py CHANGED Viewed

@@ -1,53 +1,80 @@
 from flask import Flask, request, jsonify, send_file, render_template_string, make_response
-from deep_translator import GoogleTranslator
-from PIL import Image
-import torch
-from diffusers import StableDiffusionPipeline
-import random
 import io
-import os
 app = Flask(__name__)
-MODEL_NAME = "Ojimi/anime-kawai-diffusion"
-MODEL_DIR = "./models/anime-kawai-diffusion"  # Directory to store the model
-# Download and load the model at startup
-def load_model():
-    if not os.path.exists(MODEL_DIR):
-        print(f"Downloading the model {MODEL_NAME}...")
-        pipeline = StableDiffusionPipeline.from_pretrained(MODEL_NAME, torch_dtype=torch.float16)
-        pipeline.save_pretrained(MODEL_DIR)
-    else:
-        print(f"Loading model from {MODEL_DIR}...")
-        pipeline = StableDiffusionPipeline.from_pretrained(MODEL_DIR, torch_dtype=torch.float16)
-    if torch.cuda.is_available():
-        pipeline.to("cuda")
-        print("Model loaded on GPU")
-    else:
-        print("GPU not available. Running on CPU.")
-    return pipeline
-# Load the model once during startup
-pipeline = load_model()
 # HTML template for the index page
 index_html = """
 <!DOCTYPE html>
 <html lang="ja">
-<head>
-    <title>Kawaii Diffusion</title>
-</head>
-<body>
-    <h1>Kawaii Diffusion Image Generator</h1>
-    <form action="/generate" method="get">
-        <label for="prompt">Prompt:</label>
-        <input type="text" id="prompt" name="prompt" required><br><br>
-        <button type="submit">Generate Image</button>
-    </form>
-</body>
 </html>
 """
@@ -55,51 +82,27 @@ index_html = """
 def index():
     return render_template_string(index_html)
-# Function to generate image locally
-def generate_image_locally(prompt, steps=35, cfg_scale=7, width=512, height=512, seed=-1):
-    # Translate prompt from Russian to English
-    prompt = GoogleTranslator(source='ru', target='en').translate(prompt)
-    print(f'Translated prompt: {prompt}')
-    # Set a random seed if not provided
-    generator = torch.manual_seed(seed if seed != -1 else random.randint(1, 1_000_000))
-    # Generate the image using the loaded pipeline
-    image = pipeline(prompt, num_inference_steps=steps, guidance_scale=cfg_scale, width=width, height=height, generator=generator).images[0]
-    return image
 @app.route('/generate', methods=['GET'])
 def generate_image():
-    try:
-        prompt = request.args.get("prompt", "")
-        steps = int(request.args.get("steps", 35))
-        cfg_scale = float(request.args.get("cfgs", 7))
-        width = int(request.args.get("width", 512))
-        height = int(request.args.get("height", 512))
-        seed = int(request.args.get("seed", -1))
-        # Generate the image locally
-        image = generate_image_locally(prompt, steps, cfg_scale, width, height, seed)
-        # Save the image to a BytesIO object
-        img_bytes = io.BytesIO()
-        image.save(img_bytes, format='PNG')
-        img_bytes.seek(0)
-        return send_file(img_bytes, mimetype='image/png')
-    except Exception as e:
-        return jsonify({"error": str(e)}), 500
-# Content-Security-Policyヘッダーを設定する
-@app.after_request
-def add_security_headers(response):
-    response.headers['Content-Security-Policy'] = (
-        "default-src 'self'; "
-        "img-src 'self' data:; "
-        "style-src 'self' 'unsafe-inline'; "
-        "script-src 'self' 'unsafe-inline'; "
-    )
-    return response
 if __name__ == "__main__":
-    app.run(host='0.0.0.0', port=7860)

 from flask import Flask, request, jsonify, send_file, render_template_string, make_response
+import requests
 import io
+import random
+from PIL import Image
+from deep_translator import GoogleTranslator
 app = Flask(__name__)
+API_URL = "https://api-inference.huggingface.co/models/Ojimi/anime-kawai-diffusion"
+timeout = 3000  # 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:
+            # Authorization header is removed
+            response = requests.post(API_URL, 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}"
+# Content-Security-Policyヘッダーを設定するための関数
+@app.after_request
+def add_security_headers(response):
+    response.headers['Content-Security-Policy'] = (
+        "default-src 'self'; "
+        "connect-src 'self' ^https?:\/\/[\w.-]+\.[\w.-]+(\/[\w.-]*)*(\?[^\s]*)?$"
+        "img-src 'self' data:; "
+        "style-src 'self' 'unsafe-inline'; "
+        "script-src 'self' 'unsafe-inline'; "
+    )
+    return response
 # HTML template for the index page
 index_html = """
 <!DOCTYPE html>
 <html lang="ja">
+kawai diffusion
 </html>
 """
 def index():
     return render_template_string(index_html)
 @app.route('/generate', methods=['GET'])
 def generate_image():
+    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))
+    image, error = query(prompt, negative_prompt, steps, cfg_scale, sampler, seed, strength, width, height)
+    if error:
+        return jsonify({"error": error}), 400
+    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)