diff --git a/setup_files/requirements.txt b/setup_files/requirements.txt
index 6ba20b7..5a93c75 100644
--- a/setup_files/requirements.txt
+++ b/setup_files/requirements.txt
@@ -1,16 +1,17 @@
+invisible_watermark
 accelerate
-diffusers[torch]==0.17.1
+diffusers[torch]==0.20.1
 onnxruntime==1.15.1
-safetensors==0.3.1
+safetensors==0.3.3
 torch==2.0.1+cu117
-transformers==4.30.2
-xformers==0.0.20
+transformers==4.32.0
+xformers==0.0.21
 
 realesrgan==0.3.0
 basicsr>=1.4.2
 facexlib>=0.3.0
 gfpgan>=1.3.8
-numpy
+scipy==1.11.1
 opencv-python
 Pillow
 torchvision
diff --git a/setup_files/txt2img.py b/setup_files/txt2img.py
index 748d4c8..eefecdf 100644
--- a/setup_files/txt2img.py
+++ b/setup_files/txt2img.py
@@ -70,7 +70,7 @@ class StableDiffusion(StableDiffusionInterface):
         else:
             print(f"The directory '{self.cache_path}' does not exist.")
 
-        torch.cuda.memory._set_allocator_settings("max_split_size_mb:256")
+        # torch.cuda.memory._set_allocator_settings("max_split_size_mb:256")
 
         self.pipe = diffusers.StableDiffusionPipeline.from_pretrained(
             self.cache_path,
@@ -180,7 +180,7 @@ class StableDiffusion(StableDiffusionInterface):
         generator = torch.Generator("cuda").manual_seed(seed)
         with torch.inference_mode():
             with torch.autocast("cuda"):
-                generated_images = self.pipe.text2img(
+                generated_images = self.pipe(
                     prompt * batch_size,
                     negative_prompt=n_prompt * batch_size,
                     height=height,