Update app.py

app.py

@@ -13,8 +13,10 @@ if torch.cuda.is_available():
 else:
     torch_dtype = torch.float32
 
-pipe = DiffusionPipeline.from_pretrained(model_repo_id, torch_dtype=torch_dtype)
-pipe = pipe.to(device)
+from diffusers import DiffusionPipeline
+
+pipeline = DiffusionPipeline.from_pretrained("John6666/mala-anime-mix-nsfw-pony-xl-v5-sdxl-spo")
+pipeline.load_lora_weights(model_repo_id)
 
 MAX_SEED = np.iinfo(np.int32).max
 MAX_IMAGE_SIZE = 1024
@@ -27,7 +29,7 @@ def infer(prompt, negative_prompt, seed, randomize_seed, width, height, guidance
         
     generator = torch.Generator().manual_seed(seed)
     
-    image = pipe(
+    image = pipeline(
         prompt = prompt, 
         negative_prompt = negative_prompt,
         guidance_scale = guidance_scale,