Init

README.md

@@ -1,8 +1,8 @@
 ---
-title: AnimeGAN
+title: AnimeGANv2
 emoji: ⚡
-colorFrom: green
-colorTo: green
+colorFrom: yellow
+colorTo: blue
 sdk: gradio
 app_file: app.py
 pinned: false
@@ -10,36 +10,28 @@ pinned: false
 
 # Configuration
 
-`title`: _string_
+`title`: _string_  
 Display title for the Space
 
-`emoji`: _string_
+`emoji`: _string_  
 Space emoji (emoji-only character allowed)
 
-`colorFrom`: _string_
+`colorFrom`: _string_  
 Color for Thumbnail gradient (red, yellow, green, blue, indigo, purple, pink, gray)
 
-`colorTo`: _string_
+`colorTo`: _string_  
 Color for Thumbnail gradient (red, yellow, green, blue, indigo, purple, pink, gray)
 
-`sdk`: _string_
-Can be either `gradio`, `streamlit`, or `static`
+`sdk`: _string_  
+Can be either `gradio` or `streamlit`
 
-`sdk_version` : _string_
+`sdk_version` : _string_  
 Only applicable for `streamlit` SDK.  
 See [doc](https://hf.co/docs/hub/spaces) for more info on supported versions.
 
-`app_file`: _string_
-Path to your main application file (which contains either `gradio` or `streamlit` Python code, or `static` html code).
+`app_file`: _string_  
+Path to your main application file (which contains either `gradio` or `streamlit` Python code).  
 Path is relative to the root of the repository.
 
-`models`: _List[string]_
-HF model IDs (like "gpt2" or "deepset/roberta-base-squad2") used in the Space.
-Will be parsed automatically from your code if not specified here.
-
-`datasets`: _List[string]_
-HF dataset IDs (like "common_voice" or "oscar-corpus/OSCAR-2109") used in the Space.
-Will be parsed automatically from your code if not specified here.
-
-`pinned`: _boolean_
+`pinned`: _boolean_  
 Whether the Space stays on top of your list.

app.py

@@ -0,0 +1,33 @@
+import os
+from PIL import Image
+import torch
+import gradio as gr
+os.system("pip install gradio==2.5.3")
+
+model2 = torch.hub.load(
+    "AK391/animegan2-pytorch:main",
+    "generator",
+    pretrained=True,
+    device="cuda",
+    progress=False
+)
+
+
+model1 = torch.hub.load("AK391/animegan2-pytorch:main", "generator", pretrained="face_paint_512_v1",  device="cuda")
+face2paint = torch.hub.load(
+    'AK391/animegan2-pytorch:main', 'face2paint', 
+    size=512, device="cuda",side_by_side=False
+)
+def inference(img, ver):
+    if ver == 'version 2 (🔺 robustness,🔻 stylization)':
+        out = face2paint(model2, img)
+    else:
+        out = face2paint(model1, img)
+    return out
+  
+title = "AnimeGANv2"
+description = "Gradio Demo for AnimeGanv2 Face Portrait. To use it, simply upload your image, or click one of the examples to load them. Read more at the links below. Please use a cropped portrait picture for best results similar to the examples below."
+article = "<p style='text-align: center'><a href='https://github.com/bryandlee/animegan2-pytorch' target='_blank'>Github Repo Pytorch</a></p> <center><img src='https://visitor-badge.glitch.me/badge?page_id=akhaliq_animegan' alt='visitor badge'></center> <p style='text-align: center'>samples from repo: <img src='https://user-images.githubusercontent.com/26464535/129888683-98bb6283-7bb8-4d1a-a04a-e795f5858dcf.gif' alt='animation'/> <img src='https://user-images.githubusercontent.com/26464535/137619176-59620b59-4e20-4d98-9559-a424f86b7f24.jpg' alt='animation'/><img src='https://user-images.githubusercontent.com/26464535/127134790-93595da2-4f8b-4aca-a9d7-98699c5e6914.jpg' alt='animation'/></p>"
+examples=[['groot.jpeg','version 2 (🔺 robustness,🔻 stylization)'],['bill.png','version 1 (🔺 stylization, 🔻 robustness)'],['tony.png','version 1 (🔺 stylization, 🔻 robustness)'],['elon.png','version 2 (🔺 robustness,🔻 stylization)'],['IU.png','version 1 (🔺 stylization, 🔻 robustness)'],['billie.png','version 2 (🔺 robustness,🔻 stylization)'],['will.png','version 2 (🔺 robustness,🔻 stylization)'],['beyonce.png','version 1 (🔺 stylization, 🔻 robustness)'],['gongyoo.jpeg','version 1 (🔺 stylization, 🔻 robustness)']]
+gr.Interface(inference, [gr.inputs.Image(type="pil"),gr.inputs.Radio(['version 1 (🔺 stylization, 🔻 robustness)','version 2 (🔺 robustness,🔻 stylization)'], type="value", default='version 2 (🔺 robustness,🔻 stylization)', label='version')
+], gr.outputs.Image(type="pil"),title=title,description=description,article=article,examples=examples,allow_flagging=False,enable_queue=True).launch()

requirements.txt

@@ -0,0 +1,9 @@
+torch
+torchvision
+Pillow
+gdown
+numpy
+scipy
+cmake
+onnxruntime-gpu
+opencv-python-headless