diff --git a/sdxl-turbo/entrypoint.py b/sdxl-turbo/entrypoint.py
index a2400a5..e2c43d0 100644
--- a/sdxl-turbo/entrypoint.py
+++ b/sdxl-turbo/entrypoint.py
@@ -4,7 +4,7 @@
 import os
 import sys
 import traceback
- 
+
 import uvicorn
 
 from fastapi import FastAPI, HTTPException, Response, status
@@ -16,7 +16,7 @@
 
 if MODEL_NAME is None or CACHED_MODEL_PATH is None:
     logging.error("Environment variables MODEL_NAME and CACHED_MODEL_PATH must be set. See Dockerfile for values.")
-    sys.exit(1) 
+    sys.exit(1)
 
 app = FastAPI()
 
@@ -40,6 +40,7 @@ async def generate_t2i(request: SdxlTurboRequest):
     try:
         image = pipe_t2i(
             prompt=request.prompt,
+            negative_prompt=request.negative_prompt,
             strength=request.strength,
             guidance_scale=request.guidance_scale,
             num_images_per_prompt=request.num_images_per_prompt,
@@ -57,6 +58,7 @@ async def generate_t2i(request: SdxlTurboRequest):
         logging.error(traceback.format_exc())
         raise HTTPException(status_code=500, detail=f"Error generating image: {str(e)}")
 
+
 # sdxl turbo image to image endpoint
 @app.post("/sdxl-turbo-i2i")
 async def generate_i2i(request: SdxlTurboRequest):
@@ -64,10 +66,11 @@ async def generate_i2i(request: SdxlTurboRequest):
         init_image = request.image
         base64_decoded = base64.b64decode(init_image)
         input_image = Image.frombytes("RGB", (512, 512), base64_decoded, "raw")
-    
+
         image = pipe_i2i(
             image=input_image,
             prompt=request.prompt,
+            negative_prompt=request.negative_prompt,
             strength=request.strength,
             guidance_scale=request.guidance_scale,
             num_images_per_prompt=request.num_images_per_prompt,
@@ -87,4 +90,4 @@ async def generate_i2i(request: SdxlTurboRequest):
 
 if __name__ == "__main__":
     port = int(sys.argv[1]) if len(sys.argv) > 1 else 8080
-    uvicorn.run("entrypoint:app", host="0.0.0.0", port=port)
\ No newline at end of file
+    uvicorn.run("entrypoint:app", host="0.0.0.0", port=port)
diff --git a/sdxl-turbo/sdxl_turbo.py b/sdxl-turbo/sdxl_turbo.py
index 65c5f16..858be0c 100644
--- a/sdxl-turbo/sdxl_turbo.py
+++ b/sdxl-turbo/sdxl_turbo.py
@@ -2,16 +2,18 @@
 from pydantic import BaseModel, Field
 import torch
 from typing import Optional
- 
+
 
 class SdxlTurboRequest(BaseModel):
     prompt: str
+    negative_prompt: Optional[str] = None
     num_inference_steps: int = Field(default=4)
     guidance_scale: float = Field(default=0.0)
     strength: float = Field(default=1.0)
     num_images_per_prompt: int = Field(default=1)
     image: Optional[str] = None
 
+
 def setup_pipeline(model_name: str, cached_model_path):
     pipe_t2i = AutoPipelineForText2Image.from_pretrained(
         model_name,