Create myapp.py

myapp.py

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+from flask import Flask, jsonify, request, send_file
+from flask_cors import CORS
+import torch
+from diffusers import StableDiffusion3Pipeline
+import numpy as np
+import random
+import io
+from PIL import Image
+
+# Initialize the Flask app
+myapp = Flask(__name__)
+CORS(myapp)  # Enable CORS if needed
+
+# Load the model
+device = "cpu"
+dtype = torch.float16
+
+repo = "stabilityai/stable-diffusion-3-medium-diffusers"
+pipe = StableDiffusion3Pipeline.from_pretrained(repo, torch_dtype=dtype).to(device)
+
+MAX_SEED = np.iinfo(np.int32).max
+MAX_IMAGE_SIZE = 1344
+
+@app.route('/')
+def home():
+    return "Welcome to the Stable Diffusion 3 Image Generation API!"  # Basic home response
+
+@app.route('/generate_image', methods=['POST'])
+def generate_image():
+    data = request.json
+    
+    # Get inputs from request JSON
+    prompt = data.get('prompt', '')
+    negative_prompt = data.get('negative_prompt', None)
+    seed = data.get('seed', 0)
+    randomize_seed = data.get('randomize_seed', True)
+    width = data.get('width', 1024)
+    height = data.get('height', 1024)
+    guidance_scale = data.get('guidance_scale', 5.0)
+    num_inference_steps = data.get('num_inference_steps', 28)
+    
+    # Randomize seed if requested
+    if randomize_seed:
+        seed = random.randint(0, MAX_SEED)
+    
+    # Generate the image
+    generator = torch.Generator().manual_seed(seed)
+    image = pipe(
+        prompt=prompt,
+        negative_prompt=negative_prompt,
+        guidance_scale=guidance_scale,
+        num_inference_steps=num_inference_steps,
+        width=width,
+        height=height,
+        generator=generator
+    ).images[0]
+    
+    # Save the image to a byte array
+    img_byte_arr = io.BytesIO()
+    image.save(img_byte_arr, format='PNG')
+    img_byte_arr.seek(0)  # Move the pointer to the start of the byte array
+    
+    # Return the image as a response
+    return send_file(img_byte_arr, mimetype='image/png')
+
+# Add this block to make sure your app runs when called
+if __name__ == "__main__":
+    myapp.run(host='0.0.0.0', port=7860)  # Run the Flask app on port 7860