Update app.py

app.py

@@ -5,24 +5,37 @@ import spaces
 import torch
 from diffusers import DiffusionPipeline, AutoencoderTiny
 
-dtype = torch.bfloat16
+def feifeimodload():
 
-device = "cuda" if torch.cuda.is_available() else "cpu"
-#taef1 = AutoencoderTiny.from_pretrained("aifeifei798/taef1", torch_dtype=dtype).to(
-#        device
-#)
+    dtype = torch.bfloat16
+    device = "cuda" if torch.cuda.is_available() else "cpu"
     
-#pipe = DiffusionPipeline.from_pretrained(
-#        "aifeifei798/DarkIdol-flux-v1", torch_dtype=dtype, vae=taef1
-#).to(device)
-
-pipe = DiffusionPipeline.from_pretrained(
+    pipe = DiffusionPipeline.from_pretrained(
         "aifeifei798/DarkIdol-flux-v1.1", torch_dtype=dtype
-).to(device)
+    ).to(device)
+    
+    pipe.load_lora_weights(
+        hf_hub_download("aifeifei798/flux-nsfw-lora", "Ultra-Realistic Nipple Generator_v2.safetensors"),
+        adapter_name="Ultra-Realistic",
+    )
+
+    pipe.set_adapters(
+        ["Ultra-Realistic"],
+        adapter_weights=[0.75],
+    )
+    
+    pipe.fuse_lora(
+        adapter_name=["Ultra-Realistic"],
+        lora_scale=1.0,
+    )
 
-# Enable VAE big pic
-pipe.vae.enable_slicing()
-pipe.vae.enable_tiling()
+    pipe.vae.enable_slicing()
+    pipe.vae.enable_tiling()
+    pipe.unload_lora_weights()
+    torch.cuda.empty_cache()
+    return pipe
+    
+pipe = feifeimodload()
 
 
 MAX_SEED = np.iinfo(np.int32).max