Update app.py

app.py

@@ -13,10 +13,18 @@ device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
 
 vae = AutoencoderKL.from_pretrained("madebyollin/sdxl-vae-fp16-fix", torch_dtype=torch.float16)
 
+#pipe = StableDiffusionXLPipeline.from_pretrained(
+#    "yodayo-ai/holodayo-xl-2.1",
+#    vae=vae,
+#    torch_dtype=torch.float16,
+#)
 pipe = StableDiffusionXLPipeline.from_pretrained(
-    "yodayo-ai/holodayo-xl-2.1",
-    vae=vae,
-    torch_dtype=torch.float16,
+    "yodayo-ai/clandestine-xl-1.0", 
+    torch_dtype=torch.float16, 
+    use_safetensors=True,
+    custom_pipeline="lpw_stable_diffusion_xl",
+    add_watermarker=False,
+    variant="fp16"
 )
 
 pipe.scheduler = EulerAncestralDiscreteScheduler.from_config(pipe.scheduler.config)
@@ -59,9 +67,10 @@ with gr.Blocks(css=css) as demo:
     with gr.Column(elem_id="col-container"):
         gr.Markdown("""
         # Text-to-Image Demo
-        using [Holodayo XL 2.1](https://huggingface.co/yodayo-ai/holodayo-xl-2.1)
+        using [clandestine XL 1.0](https://huggingface.co/yodayo-ai/clandestine-xl-1.0)
         """)
-
+        #yodayo-ai/clandestine-xl-1.0　
+        #yodayo-ai/holodayo-xl-2.1
         with gr.Row():
             prompt = gr.Text(
                 label="Prompt",