DHEIVER commited on
Commit
c10ea93
1 Parent(s): ebfa8d8

Update app.py

Browse files
Files changed (1) hide show
  1. app.py +36 -11
app.py CHANGED
@@ -1,26 +1,51 @@
 
1
  import torch
2
  import gradio as gr
3
 
4
- model2 = torch.hub.load("AK391/animegan2-pytorch:main", "generator", pretrained=True, device="cuda", progress=False)
5
- model1 = torch.hub.load("AK391/animegan2-pytorch:main", "generator", pretrained="face_paint_512_v1", device="cuda")
6
- face2paint = torch.hub.load('AK391/animegan2-pytorch:main', 'face2paint', size=512, device="cuda", side_by_side=False)
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
7
 
8
  def inference(img, ver):
9
- model = model2 if ver == 'version 2 (🔺 robustness,🔻 stylization)' else model1
10
- return face2paint(model, img)
 
 
 
11
 
12
  title = "AnimeGANv2"
13
- description = "Gradio Demo for AnimeGanv2 Face Portrait. Upload your image and select the version (🔺 robustness,🔻 stylization) to generate an anime-style portrait."
14
- article = "<p style='text-align: center'><a href='https://github.com/bryandlee/animegan2-pytorch' target='_blank'>Github Repo Pytorch</a></p>"
15
 
16
  gr.Interface(
17
  fn=inference,
18
  inputs=[
19
  gr.inputs.Image(type="pil"),
20
- gr.inputs.Radio(['version 1 (🔺 stylization, 🔻 robustness)', 'version 2 (🔺 robustness,🔻 stylization)'],
21
- type="value",
22
- default='version 2 (🔺 robustness,🔻 stylization)',
23
- label='version')
 
 
24
  ],
25
  outputs=gr.outputs.Image(type="pil"),
26
  title=title,
 
1
+ from PIL import Image
2
  import torch
3
  import gradio as gr
4
 
5
+ model2 = torch.hub.load(
6
+ "AK391/animegan2-pytorch:main",
7
+ "generator",
8
+ pretrained=True,
9
+ device="cpu",
10
+ progress=False
11
+ )
12
+
13
+ model1 = torch.hub.load(
14
+ "AK391/animegan2-pytorch:main",
15
+ "generator",
16
+ pretrained="face_paint_512_v1",
17
+ device="cpu"
18
+ )
19
+
20
+ face2paint = torch.hub.load(
21
+ 'AK391/animegan2-pytorch:main',
22
+ 'face2paint',
23
+ size=512,
24
+ device="cpu",
25
+ side_by_side=False
26
+ )
27
 
28
  def inference(img, ver):
29
+ if ver == 'version 2 (🔺 robustness,🔻 stylization)':
30
+ out = face2paint(model2, img)
31
+ else:
32
+ out = face2paint(model1, img)
33
+ return out
34
 
35
  title = "AnimeGANv2"
36
+ description = "Gradio Demo for AnimeGanv2 Face Portrait. To use it, simply upload your image."
37
+ 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>"
38
 
39
  gr.Interface(
40
  fn=inference,
41
  inputs=[
42
  gr.inputs.Image(type="pil"),
43
+ gr.inputs.Radio(
44
+ ['version 1 (🔺 stylization, 🔻 robustness)', 'version 2 (🔺 robustness,🔻 stylization)'],
45
+ type="value",
46
+ default='version 2 (🔺 robustness,🔻 stylization)',
47
+ label='version'
48
+ )
49
  ],
50
  outputs=gr.outputs.Image(type="pil"),
51
  title=title,