Update app.py

app.py

@@ -4,15 +4,19 @@ import gradio as gr
 import accelerate
 
 models=[
-gr.Interface.load("Marvel","models/ItsJayQz/Marvel_WhatIf_Diffusion", "whatif style"), 
-gr.Interface.load("Cyberpunk Anime Diffusion", "models/DGSpitzer/Cyberpunk-Anime-Diffusion", "dgs illustration style"),
-gr.Interface.load("Portrait plus", "models/wavymulder/portraitplus", "portrait+ style"),
-gr.Interface.load("classic Disney", "models/nitrosocke/classic-anim-diffusion", "classic disney style"),
-gr.Interface.load("vintedois", "models/22h/vintedois-diffusion-v0-1", "vintedois style"),
-gr.Interface.load("dreamlike", "models/dreamlike-art/dreamlike-diffusion-1.0","dreamlike style"),
-gr.Interface.load("SD21","models/stabilityai/stable-diffusion-2-1", "sd21 default style")
+"ItsJayQz/Marvel_WhatIf_Diffusion",
+"DGSpitzer/Cyberpunk-Anime-Diffusion",
+"DGSpitzer/Guan-Yu-Diffusion",
+"wavymulder/portraitplus",
+"nitrosocke/classic-anim-diffusion",
+"22h/vintedois-diffusion-v0-1",
+"dreamlike-art/dreamlike-diffusion-1.0",
+"stabilityai/stable-diffusion-2-1"
 ]
 
+for i in range(len(models)):
+     gr.Interface.load(f"models/{models[i]}",live=True,preprocess=True)
+
 def TextToImage(Prompt,model):
   model_id = model
   pipe = StableDiffusionPipeline.from_pretrained(model_id, torch_dtype=torch.get_default_dtype())