Update app.py

app.py

@@ -16,12 +16,12 @@ device = "cuda" if torch.cuda.is_available() else "cpu"
 #model_repo_id = "stabilityai/stable-diffusion-xl-base-0.9"
 
 
-"""
+
 if torch.cuda.is_available():
     torch_dtype = torch.float16
 else:
     torch_dtype = torch.float32
-
+"""
     pipe = DiffusionPipeline.from_pretrained(model_repo_id, torch_dtype=torch_dtype)
 pipe = pipe.to(device)
 """
@@ -34,9 +34,9 @@ MAX_IMAGE_SIZE = 1024
 from diffusers import AutoencoderTiny, StableDiffusionPipeline
 
 pipe = StableDiffusionPipeline.from_pretrained(
-    "nota-ai/bk-sdm-small", torch_dtype=torch.float16, use_safetensors=True)
+    "nota-ai/bk-sdm-small", torch_dtype=torch_dtype, use_safetensors=True)
 pipe.vae = AutoencoderTiny.from_pretrained(
-    "sayakpaul/taesd-diffusers", torch_dtype=torch.float16, use_safetensors=True)
+    "sayakpaul/taesd-diffusers", torch_dtype=torch_dtype, use_safetensors=True)
 pipe = pipe.to(device)
 
 # @spaces.GPU #[uncomment to use ZeroGPU]