feat: 更新gradio页面，显示中文

InstantID/gradio_demo/app.py

@@ -36,7 +36,7 @@ MAX_SEED = np.iinfo(np.int32).max
 device = get_torch_device()
 dtype = torch.float16 if str(device).__contains__("cuda") else torch.float32
 STYLE_NAMES = list(styles.keys())
-DEFAULT_STYLE_NAME = "Watercolor"
+DEFAULT_STYLE_NAME = "(No style)"
 
 # Load face encoder
 app = FaceAnalysis(name='antelopev2', root='./', providers=['CUDAExecutionProvider', 'CPUExecutionProvider'])
@@ -305,16 +305,15 @@ def main(pretrained_model_name_or_path="wangqixun/YamerMIX_v8", enable_lcm_arg=F
     1. 上传人物图片。 对于多人图像，我们只会检测最大的脸部。 确保脸部不要太小，并且没有明显遮挡或模糊。
     2. （可选）上传另一个人的图像作为参考姿势。 如果没有上传，我们将使用第一张图像来提取姿势。 如果您在步骤1中使用了裁剪后的脸部，建议上传它以提取新的姿势。
     3. （可选）输入文本prompt提示词，就像所有文生图应用中所做的那样.
-    4. 点击 <b>Submit</b> 按钮开始定制.
+    4. 点击 <b>提交</b> 按钮开始定制.
     5. 分享美图给你的好友吧, enjoy😊!
     """
 
     tips = r"""
-    ### Usage tips of InstantID
-    1. If you're not satisfied with the similarity, try increasing the weight of "IdentityNet Strength" and "Adapter Strength."    
-    2. If you feel that the saturation is too high, first decrease the Adapter strength. If it remains too high, then decrease the IdentityNet strength.
-    3. If you find that text control is not as expected, decrease Adapter strength.
-    4. If you find that realistic style is not good enough, go for our Github repo and use a more realistic base model.
+    ### 使用技巧
+    1. 如果你对相似度不满意, 尝试增加"IdentityNet Strength"和"Adapter Strength"  
+    2. 如果你觉得饱和度太高, 首先尝试降低"Adapter strength"。如果仍然太高, 降低"“"IdentityNet strength"
+    3. 如果你觉得文本控制不符合预期, 降低"Adapter strength"
     """
 
     css = '''
@@ -329,24 +328,24 @@ def main(pretrained_model_name_or_path="wangqixun/YamerMIX_v8", enable_lcm_arg=F
         with gr.Row():
             with gr.Column():
                 # upload face image
-                face_file = gr.Image(label="Upload a photo of your face", type="filepath")
+                face_file = gr.Image(label="上传人物图片", type="filepath")
 
                 # optional: upload a reference pose image
-                pose_file = gr.Image(label="Upload a reference pose image (optional)", type="filepath")
+                pose_file = gr.Image(label="上传参考pose图片(可选)", type="filepath")
 
                 # prompt
                 prompt = gr.Textbox(label="Prompt",
-                                    info="Give simple prompt is enough to achieve good face fidelity",
+                                    info="给出简单的提示就足以实现良好的面部保真度",
                                     placeholder="A photo of a person",
                                     value="")
 
                 submit = gr.Button("Submit", variant="primary")
 
                 enable_LCM = gr.Checkbox(
-                    label="Enable Fast Inference with LCM", value=enable_lcm_arg,
-                    info="LCM speeds up the inference step, the trade-off is the quality of the generated image. It performs better with portrait face images rather than distant faces",
+                    label="使用LCM加快推理速度", value=enable_lcm_arg,
+                    info="LCM可加快推理速度，但是生成图像的质量会变差",
                 )
-                style = gr.Dropdown(label="Style template", choices=STYLE_NAMES, value=DEFAULT_STYLE_NAME)
+                style = gr.Dropdown(label="风格模版", choices=STYLE_NAMES, value=DEFAULT_STYLE_NAME)
 
                 # strength
                 identitynet_strength_ratio = gr.Slider(
@@ -364,7 +363,7 @@ def main(pretrained_model_name_or_path="wangqixun/YamerMIX_v8", enable_lcm_arg=F
                     value=0.80,
                 )
 
-                with gr.Accordion(open=False, label="Advanced Options"):
+                with gr.Accordion(open=False, label="高级选项"):
                     negative_prompt = gr.Textbox(
                         label="Negative Prompt",
                         placeholder="low quality",
@@ -395,8 +394,8 @@ def main(pretrained_model_name_or_path="wangqixun/YamerMIX_v8", enable_lcm_arg=F
                     enhance_face_region = gr.Checkbox(label="Enhance non-face region", value=True)
 
             with gr.Column():
-                gallery = gr.Image(label="Generated Images")
-                usage_tips = gr.Markdown(label="Usage tips of InstantID", value=tips, visible=False)
+                gallery = gr.Image(label="生成图像")
+                usage_tips = gr.Markdown(label="使用技巧", value=tips, visible=False)
 
             submit.click(
                 fn=remove_tips,