Update hf_demo.py

hf_demo.py

@@ -10,7 +10,7 @@ from PIL import Image
 device = "cuda" if torch.cuda.is_available() else "cpu"
 dtype=torch.bfloat16 if torch.cuda.is_available() else torch.float16
 print(f"Using {device} device, dtype={dtype}")
-pipe = DiffusionPipeline.from_pretrained("rhfeiyang/art-free-diffusion-v1",
+pipe = DiffusionPipeline.from_pretrained("rhfeiyang/Blank-Canvas-Diffusion-v1",
                                          torch_dtype=dtype).to(device)
 
 from inference import get_lora_network, inference, get_validation_dataloader
@@ -118,7 +118,7 @@ block = gr.Blocks()
 # Direct infer
 with block:
     with gr.Group():
-        gr.Markdown(" # Art-Free Diffusion Demo")
+        gr.Markdown(" # Blank Canvas Diffusion Demo")
         with gr.Row():
             text = gr.Textbox(
                 label="Prompt:",