content: make into gandalf

app.py

@@ -74,24 +74,9 @@ ckpt = torch.load(model_path_s, map_location=lambda storage, loc: storage)
 original_generator.load_state_dict(ckpt["g_ema"], strict=False)
 mean_latent = original_generator.mean_latent(10000)
 
-generatorjojo = deepcopy(original_generator)
-
-generatordisney = deepcopy(original_generator)
-
-generatorjinx = deepcopy(original_generator)
-
-generatorcaitlyn = deepcopy(original_generator)
-
-generatoryasuho = deepcopy(original_generator)
-
-generatorarcanemulti = deepcopy(original_generator)
-
-generatorart = deepcopy(original_generator)
-
-generatorspider = deepcopy(original_generator)
-
-generatorsketch = deepcopy(original_generator)
+generatorgollum_mod = deepcopy(original_generator)
 
+generatorgollum_ex = deepcopy(original_generator)
 
 transform = transforms.Compose(
     [
@@ -104,101 +89,39 @@ transform = transforms.Compose(
 
 
 
-modeljojo = hf_hub_download(repo_id="akhaliq/JoJoGAN-jojo", filename="jojo_preserve_color.pt")
-
-
-ckptjojo = torch.load(modeljojo, map_location=lambda storage, loc: storage)
-generatorjojo.load_state_dict(ckptjojo["g"], strict=False)
-
-
-modeldisney = hf_hub_download(repo_id="akhaliq/jojogan-disney", filename="disney_preserve_color.pt")
-
-ckptdisney = torch.load(modeldisney, map_location=lambda storage, loc: storage)
-generatordisney.load_state_dict(ckptdisney["g"], strict=False)
-
-
-modeljinx = hf_hub_download(repo_id="akhaliq/jojo-gan-jinx", filename="arcane_jinx_preserve_color.pt")
-
-ckptjinx = torch.load(modeljinx, map_location=lambda storage, loc: storage)
-generatorjinx.load_state_dict(ckptjinx["g"], strict=False)
-
+modelgollum_mod = hf_hub_download(repo_id="hlydecker/gandalf-gollum-moderate", filename="gollum_moderate.pt")
 
-modelcaitlyn = hf_hub_download(repo_id="akhaliq/jojogan-arcane", filename="arcane_caitlyn_preserve_color.pt")
 
-ckptcaitlyn = torch.load(modelcaitlyn, map_location=lambda storage, loc: storage)
-generatorcaitlyn.load_state_dict(ckptcaitlyn["g"], strict=False)
+ckptgollum_mod = torch.load(modelgollum_mod, map_location=lambda storage, loc: storage)
+generatorjojo.load_state_dict(ckptgollum_mod["g"], strict=False)
 
 
-modelyasuho = hf_hub_download(repo_id="akhaliq/JoJoGAN-jojo", filename="jojo_yasuho_preserve_color.pt")
+modelgollum_ex = hf_hub_download(repo_id="hlydecker/gandalf-gollum-extreme", filename="gollum_extreme.pt")
 
-ckptyasuho = torch.load(modelyasuho, map_location=lambda storage, loc: storage)
-generatoryasuho.load_state_dict(ckptyasuho["g"], strict=False)
+ckptgollum_ex = torch.load(modeldisney, map_location=lambda storage, loc: storage)
+generatorgollum_ex.load_state_dict(ckptgollum_ex["g"], strict=False)
 
 
-model_arcane_multi = hf_hub_download(repo_id="akhaliq/jojogan-arcane", filename="arcane_multi_preserve_color.pt")
-
-ckptarcanemulti = torch.load(model_arcane_multi, map_location=lambda storage, loc: storage)
-generatorarcanemulti.load_state_dict(ckptarcanemulti["g"], strict=False)
-
-
-modelart = hf_hub_download(repo_id="akhaliq/jojo-gan-art", filename="art.pt")
-
-ckptart = torch.load(modelart, map_location=lambda storage, loc: storage)
-generatorart.load_state_dict(ckptart["g"], strict=False)
-
-
-modelSpiderverse = hf_hub_download(repo_id="akhaliq/jojo-gan-spiderverse", filename="Spiderverse-face-500iters-8face.pt")
-
-ckptspider = torch.load(modelSpiderverse, map_location=lambda storage, loc: storage)
-generatorspider.load_state_dict(ckptspider["g"], strict=False)
-
-modelSketch = hf_hub_download(repo_id="akhaliq/jojogan-sketch", filename="sketch_multi.pt")
-
-ckptsketch = torch.load(modelSketch, map_location=lambda storage, loc: storage)
-generatorsketch.load_state_dict(ckptsketch["g"], strict=False)
-
 def inference(img, model):  
     img.save('out.jpg')  
     aligned_face = align_face('out.jpg')
         
     my_w = projection(aligned_face, "test.pt", device).unsqueeze(0)
-    if model == 'JoJo':
-        with torch.no_grad():
-            my_sample = generatorjojo(my_w, input_is_latent=True)  
-    elif model == 'Disney':
-        with torch.no_grad():
-            my_sample = generatordisney(my_w, input_is_latent=True)
-    elif model == 'Jinx':
-        with torch.no_grad():
-            my_sample = generatorjinx(my_w, input_is_latent=True)
-    elif model == 'Caitlyn':
-        with torch.no_grad():
-            my_sample = generatorcaitlyn(my_w, input_is_latent=True)
-    elif model == 'Yasuho':
-        with torch.no_grad():
-            my_sample = generatoryasuho(my_w, input_is_latent=True)
-    elif model == 'Arcane Multi':
-        with torch.no_grad():
-            my_sample = generatorarcanemulti(my_w, input_is_latent=True)
-    elif model == 'Art':
-        with torch.no_grad():
-            my_sample = generatorart(my_w, input_is_latent=True)
-    elif model == 'Spider-Verse':
+    if model == 'Gollum Moderate':
         with torch.no_grad():
-            my_sample = generatorspider(my_w, input_is_latent=True)
-    else:
+            my_sample = generatorgollum_mod(my_w, input_is_latent=True)  
+    elif model == 'Gollum Extreme':
         with torch.no_grad():
-            my_sample = generatorsketch(my_w, input_is_latent=True)
-            
+            my_sample = generatorgollum_ex(my_w, input_is_latent=True)
     
     npimage = my_sample[0].permute(1, 2, 0).detach().numpy()
     imageio.imwrite('filename.jpeg', npimage)
     return 'filename.jpeg'
   
-title = "JoJoGAN"
-description = "Gradio Demo for JoJoGAN: One Shot Face Stylization. To use it, simply upload your image, or click one of the examples to load them. Read more at the links below."
+title = "Gollumizer"
+description = "Gradio Demo for GANdalf: One Shot Face Tolekization. To use it, simply upload your image, or click one of the examples to load them. Read more at the links below."
 
-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>"
+article = "<p style='text-align: center'>GANdalf: One Shot Face Tolkeinization</a>| <a href='https://github.com/hlydecker/GANDalf' target='_blank'>Github Repo Pytorch</a></p> <center></center>"
 
-examples=[['mona.png','Jinx']]
-gr.Interface(inference, [gr.inputs.Image(type="pil"),gr.inputs.Dropdown(choices=['JoJo', 'Disney','Jinx','Caitlyn','Yasuho','Arcane Multi','Art','Spider-Verse','Sketch'], type="value", default='JoJo', label="Model")], gr.outputs.Image(type="file"),title=title,description=description,article=article,allow_flagging=False,examples=examples,allow_screenshot=False).launch()
+examples=[['mona.png','Gollum Moderate']]
+gr.Interface(inference, [gr.inputs.Image(type="pil"),gr.inputs.Dropdown(choices=['Gollum Moderate', 'Gollum Extreme'], type="value", default='Gollum Moderate', label="Model")], gr.outputs.Image(type="file"),title=title,description=description,article=article,allow_flagging=False,examples=examples,allow_screenshot=False).launch()