First commit

app.py

@@ -0,0 +1,38 @@
+# coding: utf-8
+import os
+#os.system("pip install gradio==2.8.0b3")
+import torch
+import gradio as gr
+from PIL import ImageFont, ImageDraw
+
+device = "cuda" if torch.cuda.is_available() else "cpu"
+model1 = torch.hub.load("bryandlee/animegan2-pytorch:main", "generator", device=device, pretrained="face_paint_512_v1")
+model2 = torch.hub.load("bryandlee/animegan2-pytorch:main", "generator", device=device, pretrained="face_paint_512_v2")
+face2paint = torch.hub.load("bryandlee/animegan2-pytorch:main", "face2paint", device=device)
+
+
+def inference(img, ver):
+    if ver == "Version 2 (Réaliste)":
+        out = face2paint(model2, img)
+    else:
+        out = face2paint(model1, img)
+    return out
+
+
+title = "Temp Late"
+gr.Interface(
+    inference,
+    [
+        gr.inputs.Image(type="pil", source="upload"),
+        gr.inputs.Radio(
+            ["Version 1 (Stylisé)", "Version 2 (Réaliste)"],
+            type="value",
+            default="Version 2 (Réaliste)",
+            label="Version",
+        ),
+    ],
+    gr.outputs.Image(type="pil"),
+    allow_flagging="auto",
+    allow_screenshot=False,
+    flagging_dir="flagged",
+).launch(enable_queue=True)

requirements.txt

@@ -0,0 +1,11 @@
+torch
+torchvision
+Pillow
+gdown
+numpy
+scipy
+cmake
+onnxruntime-gpu
+opencv-python-headless
+jinja2
+gradio