add arcane multi model

app.py

@@ -3,7 +3,6 @@ from PIL import Image
 import torch
 import gradio as gr
 os.system("pip install gradio==2.5.3")
-
 import torch
 torch.backends.cudnn.benchmark = True
 from torchvision import transforms, utils
@@ -54,6 +53,9 @@ generatorcaitlyn = deepcopy(original_generator)
 
 generatoryasuho = deepcopy(original_generator)
 
+generatorarcanemulti = deepcopy(original_generator)
+
+
 
 
 
@@ -93,6 +95,11 @@ os.system("gdown https://drive.google.com/uc?id=1SKBu1h0iRNyeKBnya_3BBmLr4pkPeg_
 ckptyasuho = torch.load('jojo_yasuho_preserve_color.pt', map_location=lambda storage, loc: storage)
 generatoryasuho.load_state_dict(ckptyasuho["g"], strict=False)
 
+os.system("gdown https://drive.google.com/uc?id=1enJgrC08NpWpx2XGBmLt1laimjpGCyfl")
+
+ckptarcanemulti = torch.load('arcane_multi_preserve_color.pt', map_location=lambda storage, loc: storage)
+generatorarcanemulti.load_state_dict(ckptarcanemulti["g"], strict=False)
+
 
 def inference(img, model):    
     aligned_face = align_face(img)
@@ -110,9 +117,12 @@ def inference(img, model):
     elif model == 'Caitlyn':
         with torch.no_grad():
             my_sample = generatorcaitlyn(my_w, input_is_latent=True)
-    else:
+    elif model == 'Yasuho':
         with torch.no_grad():
             my_sample = generatoryasuho(my_w, input_is_latent=True)
+    else:
+        with torch.no_grad():
+            my_sample = generatorarcanemulti(my_w, input_is_latent=True)
             
     
     npimage = my_sample[0].permute(1, 2, 0).detach().numpy()
@@ -125,4 +135,4 @@ description = "Gradio Demo for JoJoGAN: One Shot Face Stylization. To use it, si
 article = "<p style='text-align: center'><a href='https://arxiv.org/abs/2112.11641' target='_blank'>JoJoGAN: One Shot Face Stylization</a>| <a href='https://github.com/mchong6/JoJoGAN' target='_blank'>Github Repo Pytorch</a></p> <center><img src='https://visitor-badge.glitch.me/badge?page_id=akhaliq_jojogan' alt='visitor badge'></center> <p style='text-align: center'>samples from repo: <img src='https://raw.githubusercontent.com/mchong6/JoJoGAN/main/teaser.jpg' alt='animation'/></p>"
 
 examples=[['iu.jpeg','Jinx']]
-gr.Interface(inference, [gr.inputs.Image(type="filepath"),gr.inputs.Dropdown(choices=['JoJo', 'Disney','Jinx','Caitlyn','Yasuho'], type="value", default='JoJo', label="Model")], gr.outputs.Image(type="file"),title=title,description=description,article=article,enable_queue=True,allow_flagging=False,examples=examples).launch()
+gr.Interface(inference, [gr.inputs.Image(type="filepath"),gr.inputs.Dropdown(choices=['JoJo', 'Disney','Jinx','Caitlyn','Yasuho','Arcane Multi'], type="value", default='JoJo', label="Model")], gr.outputs.Image(type="file"),title=title,description=description,article=article,enable_queue=True,allow_flagging=False,examples=examples).launch()