app.py

from flask import Flask, request, jsonify

app = Flask(__name__)

@app.route('/')
def home():
    return jsonify({
        "status": "Higgsfield API Ready",
        "endpoints": ["/generate", "/status"],
        "model": "diffusers (free)"
    })

@app.route('/generate', methods=['POST'])
def generate():
    prompt = request.json.get('prompt', 'cinematic video')
    try:
        # Use Stable Diffusion + AnimateDiff (free, no API key)
        from diffusers import StableDiffusionPipeline
        import torch
        
        pipe = StableDiffusionPipeline.from_pretrained(
            "runwayml/stable-diffusion-v1-5",
            torch_dtype=torch.float32
        )
        
        image = pipe(prompt).images[0]
        image.save("/app/output.png")
        
        return jsonify({
            "success": True,
            "message": "Image generated (video needs GPU)",
            "prompt": prompt
        })
    except Exception as e:
        return jsonify({
            "success": False,
            "error": str(e),
            "message": "Free CPU can generate images. Video needs GPU."
        })

@app.route('/status')
def status():
    return jsonify({"status": "online", "type": "image-generation"})

if __name__ == '__main__':
    app.run(host='0.0.0.0', port=7860)