feat: zancun

AuraSR-v2/app.py

 import gradio as gr
 from PIL import Image
+import numpy as np
 from aura_sr import AuraSR
+import torch
+import os
 
-# # Force CPU usage
-# torch.set_default_type(torch.FloatTensor)
-# torch.set_default_device('cpu')
-#
-# # Override torch.load to always use CPU
-# original_load = torch.load
-# torch.load = lambda *args, **kwargs: original_load(*args, **kwargs, map_location=torch.device('cpu'))
 
-# Initialize the AuraSR model
-aura_sr = AuraSR.from_pretrained("fal/AuraSR-v2/model.safetensors")
+USE_TORCH_COMPILE = False
+ENABLE_CPU_OFFLOAD = os.getenv("ENABLE_CPU_OFFLOAD", "0") == "1"
 
+device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
 
-# # Restore original torch.load
-# torch.load = original_load
+# Initialize the AuraSR model
+aura_sr = AuraSR.from_pretrained("fal/AuraSR-v2/model.safetensors")
 
 def process_image(input_image):
     if input_image is None:
         raise gr.Error("Please provide an image to upscale.")
-
-    # Convert to PIL Image for resizing
-    pil_image = Image.fromarray(input_image)
-
+    print("get input image: ", input_image)
     # Upscale the image using AuraSR
-    upscaled_image = process_image_on_gpu(pil_image)
-
+    upscaled_image = process_image_on_gpu(input_image)
+    print("upscaled_image: ", upscaled_image)
     return upscaled_image
 
-
 def process_image_on_gpu(pil_image):
     return aura_sr.upscale_4x(pil_image)
 
 
-title = """<h1 align="center">AuraSR-v2：一款基于GAN图像修复工具，可从低分辨率图片生成高分辨率图片</h1>"""
+title = """<h1 align="center">AuraSR-v2：一款基于GAN的图像修复工具，可从低分辨率图片生成高分辨率图片</h1>"""
 
 with gr.Blocks() as demo:
     gr.HTML(title)
 
     with gr.Row():
         with gr.Column(scale=1):
-            input_image = gr.Image(label="输入图片", type="numpy")
+            input_image = gr.Image(type="pil", label="输入图片")
             process_btn = gr.Button("生成")
         with gr.Column(scale=1):
             gallery = gr.Image(label="生成图片")
@@ -61,7 +54,7 @@ with gr.Blocks() as demo:
         inputs=input_image,
         outputs=gallery,
         fn=process_image,
-        cache_examples=True
+        cache_examples=True,
     )
 
 demo.launch(server_name='0.0.0.0', share=True)

AuraSR-v2/requirements.txt

-spaces
 aura-sr
+diffusers
+gradio==3.40.0
\ No newline at end of file

启动器.ipynb

@@ -18,7 +18,7 @@
     "\n",
     "## 功能介绍\n",
     "- 原项目地址：https://huggingface.co/spaces/gokaygokay/AuraSR-v2\n",
-    "- AuraSR-v2：一款基于GAN图像修复工具，可从低分辨率图片生成高分辨率图片"
+    "- AuraSR-v2：一款基于GAN的图像修复工具，可从低分辨率图片生成高分辨率图片"
    ]
   },
   {