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from flask import Flask, request, jsonify, send_file
from diffusers import StableDiffusionPipeline
import torch
from io import BytesIO
from PIL import Image
app = Flask(__name__)
# Load the model
model_id = "sairajg/Text_To_Image"
pipe = StableDiffusionPipeline.from_pretrained(model_id, torch_dtype=torch.float16)
pipe = pipe.to("cuda") # Ensure you're using a GPU for inference
@app.route("/generate", methods=["POST"])
def generate_image():
data = request.json
prompt = data.get("prompt")
if not prompt:
return jsonify({"error": "Prompt is required"}), 400
# Generate image
with torch.autocast("cuda"):
image = pipe(prompt).images[0]
# Save image to a BytesIO object
img_io = BytesIO()
image.save(img_io, format="PNG")
img_io.seek(0)
return send_file(img_io, mimetype="image/png")
if __name__ == "__main__":
app.run(host="0.0.0.0", port=5000)
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