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from fastapi import FastAPI, HTTPException, Body |
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from fastapi.middleware.cors import CORSMiddleware |
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import uvicorn |
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from pyngrok import ngrok |
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import os |
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from image_generator import generate_image |
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import base64 |
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from io import BytesIO |
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import threading |
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import queue |
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app = FastAPI() |
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app.add_middleware( |
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CORSMiddleware, |
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allow_origins=["*"], |
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allow_credentials=True, |
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allow_methods=["*"], |
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allow_headers=["*"], |
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) |
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request_queue = queue.Queue() |
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result_queue = {} |
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def process_request(): |
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while True: |
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request_id, data = request_queue.get() |
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try: |
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image = generate_image( |
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data['prompt'], |
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data['num_inference_steps'], |
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data['seed'], |
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data['guidance_scale'], |
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negative_prompt=data.get('negative_prompt') |
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) |
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buffered = BytesIO() |
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image.save(buffered, format="JPEG") |
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img_str = base64.b64encode(buffered.getvalue()).decode() |
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result_queue[request_id] = img_str |
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except Exception as e: |
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result_queue[request_id] = str(e) |
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finally: |
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request_queue.task_done() |
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@app.post('/generate') |
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def generate( |
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prompt: str = Body(...), |
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num_inference_steps: int = Body(default=30), |
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seed: int = Body(default=42), |
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guidance_scale: float = Body(default=1.0), |
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negative_prompt: str = Body(default=None), |
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scheduler_type: str = Body(default="LCM") |
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): |
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if not prompt: |
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raise HTTPException(status_code=400, detail="No prompt provided") |
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request_id = os.urandom(8).hex() |
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request_queue.put((request_id, { |
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'prompt': prompt, |
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'num_inference_steps': num_inference_steps, |
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'seed': seed, |
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'guidance_scale': guidance_scale, |
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'negative_prompt': negative_prompt, |
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'scheduler_type': scheduler_type |
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})) |
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return {'request_id': request_id} |
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@app.get('/result/{request_id}') |
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def get_result(request_id: str): |
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if request_id in result_queue: |
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result = result_queue.pop(request_id) |
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return {'image': result} |
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return {'status': 'processing'}, 202 |
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@app.get('/get') |
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def get_status(): |
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return {'status': 'Server is running'} |
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def start_ngrok(): |
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ngrok_tunnel = ngrok.connect(8000) |
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print(' * Ngrok Tunnel URL:', ngrok_tunnel.public_url) |
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if __name__ == '__main__': |
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threading.Thread(target=process_request, daemon=True).start() |
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threading.Thread(target=start_ngrok, daemon=True).start() |
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uvicorn.run(app, host="0.0.0.0", port=8000) |
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