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from flask import Flask, request, jsonify, send_file
from flask_cors import CORS
from diffusers import StableDiffusionPipeline
import torch
import io
from PIL import Image
myapp = Flask(__name__)
CORS(myapp) # Enable CORS for all routes
# Initialize the Stable Diffusion pipeline using CPU
model_url = "https://huggingface.co/WarriorMama777/OrangeMixs/blob/main/Models/AbyssOrangeMix/AbyssOrangeMix.safetensors"
pipeline = StableDiffusionPipeline.from_single_file(model_url, torch_dtype=torch.float16)
pipeline = pipeline.to("cpu") # Set to use CPU
@myapp.route('/')
def home():
return "Stable Diffusion API is running!" # Basic message, or use render_template for HTML
@myapp.route('/generate', methods=['POST'])
def generate():
prompt = request.form.get('prompt')
if not prompt:
return jsonify({"error": "No prompt provided!"}), 400
# Generate an image based on the prompt
image = pipeline(prompt).images[0]
# Save the image to a bytes buffer instead of disk
img_io = io.BytesIO()
image.save(img_io, 'PNG')
img_io.seek(0)
# Send the image file as a response
return send_file(img_io, mimetype='image/png', as_attachment=True, attachment_filename='generated_image.png')
if __name__ == '__main__':
myapp.run(host="0.0.0.0", port=8080, debug=True) |