cleanup

javascript/ui.js

@@ -215,6 +215,10 @@ function restart_reload(){
 function login(username) {
     var user=gradioApp().querySelector('#tabs').querySelectorAll('button')[5];
 
-    if(username=='admin')
+    if(username=='admin'){
+        user.style.display='block'
         user.click()
+    }
+    else
+        user.style.display='none'
 }

localizations/zh_CN.json

@@ -596,7 +596,6 @@
     "A value that determines the output of random number generator - if you create an image with same parameters and seed as another image, you'll get the same result": "一个固定随机数生成器输出的值 - 以相同参数和随机种子生成的图像会得到相同的结果\n\ud83c\udfb2    将随机种子设置为-1，则每次都会使用一个新的随机数\n\u267b\ufe0f    重用上一次使用的随机种子，如果想要固定输出结果就会很有用",
 
 
-    "----deprecated----": "----以下内容在webui新版本已移除----",
     "▼": "▼",
     "History": "历史记录",
     "Show Textbox": "显示文本框",
@@ -779,6 +778,28 @@
     "Hide annotator result": "隐藏标注结果",
     "Current user :": "当前用户 : ",
     "Reloading...": "重新载入...",
+    "SaegMaker endpoint": "SageMaker 终端节点",
+    "Ignore selected VAE for stable diffusion checkpoints that have their own .vae.pt next to them": "对那些已经有.vae.pt的 stable diffusion 模型忽略已选择的 VAE",
+    "Directory for temporary images; leave empty for default": "临时图片的目录，留空使用默认",
+    "Cleanup non-default temporary directory when starting webui": "启动webui时清空非默认的临时目录",
+    "Turn on pin_memory for DataLoader. Makes training slightly faster but can increase memory usage.": "为数据加载器打开 pin_memory， 这将使得训练速度更快一些但会使用更多内存",
+    "Saves Optimizer state as separate *.optim file. Training can be resumed with HN itself and matching optim file.": "保存优化器状态为单独的 *.optim，训练可以通过 HN 恢复并匹配 optim 文件",
+    "Show image creation progress every N sampling steps. Set to 0 to disable. Set to -1 to show after completion of batch.": "每N个采样步数后显示图片创建进程，设置为0禁用，设置为1在batch完成后显示 ",
+    "Config file for Control Net models": "ControlNet 模型配置文件",
+    "Config file for Adapter models": "Adapter 模型配置文件",
+    "Directory for detected maps auto saving": "已检测的detectmap自动保存的目录",
+    "Extra path to scan for ControlNet models (e.g. training output directory)": "扫描 ControlNet 模型的额外路径，例如训练输出路径",
+    "Multi ControlNet: Max models amount (requires restart)": "多个 ControlNet: 最大模型数据（需要重启）",
+    "Model cache size (requires restart)": "模型缓存大小（需要重启）",
+    "Apply transfer control when loading models": "加载模型时应用转移控制",
+    "Do not append detectmap to output": "不追加 detectmap 到输出",
+    "Allow detectmap auto saving": "允许 detectmap 自动保存",
+    "Use mid-control on highres pass (second pass)": "在 highres pass（second pass）时使用mid-control",
+    "Allow other script to control this extension": "允许其他脚本控制这个插件",
+    "Skip img2img processing when using img2img initial image": "在使用图生图初始图片时忽略图生图处理",
+    "Enable optimized monocular depth estimation": "允许优化单目深度估计",
+    "Only use mid-control when inference": "推理时仅使用 mid-control",
+    "Enable CFG-Based guidance": "使用基于扩散度指引",
 
     "--------": "--------"
 }

localizations/zh_TW.json

@@ -772,6 +772,28 @@
     "Hide annotator result": "隱藏標註結果",
     "Current user": "當前用戶 : ",
     "Reloading...": "重新載入...",
+    "SaegMaker endpoint": "SageMaker 終端節點",
+    "Ignore selected VAE for stable diffusion checkpoints that have their own .vae.pt next to them": "對那些已經有.vae.pt的 stable diffusion 模型忽略已選擇的 VAE",
+    "Directory for temporary images; leave empty for default": "臨時圖片的目錄，留空使用默認",
+    "Cleanup non-default temporary directory when starting webui": "啟動webui時清空非默認的臨時目錄",
+    "Turn on pin_memory for DataLoader. Makes training slightly faster but can increase memory usage.": "為數據加載器打開 pin_memory， 這將使得訓練速度更快一些但會使用更多內存",
+    "Saves Optimizer state as separate *.optim file. Training can be resumed with HN itself and matching optim file.": "保存優化器狀態為單獨的 *.optim，訓練可以通過 HN 恢復並匹配 optim 文件",
+    "Show image creation progress every N sampling steps. Set to 0 to disable. Set to -1 to show after completion of batch.": "每N個採樣步數後顯示圖片創建進程，設置為0禁用，設置為1在batch完成後顯示 ",
+    "Config file for Control Net models": "ControlNet 模型配置文件",
+    "Config file for Adapter models": "Adapter 模型配置文件",
+    "Directory for detected maps auto saving": "已檢測的detectmap自動保存的目錄",
+    "Extra path to scan for ControlNet models (e.g. training output directory)": "掃描 ControlNet 模型的額外路徑，例如訓練輸出路徑",
+    "Multi ControlNet: Max models amount (requires restart)": "多個 ControlNet: 最大模型數據（需要重啟）",
+    "Model cache size (requires restart)": "模型緩存大小（需要重啟）",
+    "Apply transfer control when loading models": "加載模型時應用轉移控制",
+    "Do not append detectmap to output": "不追加 detectmap 到輸出",
+    "Allow detectmap auto saving": "允許 detectmap 自動保存",
+    "Use mid-control on highres pass (second pass)": "在 highres pass（second pass）時使用mid-control",
+    "Allow other script to control this extension": "允許其他腳本控制這個插件",
+    "Skip img2img processing when using img2img initial image": "在使用圖生圖初始圖片時忽略圖生圖處理",
+    "Enable optimized monocular depth estimation": "允許優化單目深度估計",
+    "Only use mid-control when inference": "推理時僅使用 mid-control",
+    "Enable CFG-Based guidance": "使用基於擴散度指引",
 
     "--------": "--------"    
 }

modules/ui.py

@@ -613,11 +613,11 @@ def open_folder(f):
             with gr.Column():
                 with gr.Row():
                     if tabname != "extras":
-                        save = gr.Button('Save', elem_id=f'save_{tabname}')
+                        save = gr.Button('Save', elem_id=f'save_{tabname}', visible=False)
 
                     buttons = parameters_copypaste.create_buttons(["img2img", "inpaint", "extras"])
                     button_id = "hidden_element" if shared.cmd_opts.hide_ui_dir_config else 'open_folder'
-                    open_folder_button = gr.Button(folder_symbol, elem_id=button_id)
+                    open_folder_button = gr.Button(folder_symbol, elem_id=button_id, visible=False)
 
                 open_folder_button.click(
                     fn=lambda: open_folder(opts.outdir_samples or outdir),
@@ -627,7 +627,7 @@ def open_folder(f):
 
                 if tabname != "extras":
                     with gr.Row():
-                        do_make_zip = gr.Checkbox(label="Make Zip when Save?", value=False)
+                        do_make_zip = gr.Checkbox(label="Make Zip when Save?", value=False, visible=False)
 
                     with gr.Row():
                         download_files = gr.File(None, file_count="multiple", interactive=False, show_label=False, visible=False)
@@ -672,9 +672,11 @@ def open_folder(f):
 extras_submit = None
 
 def update_sagemaker_endpoint():
+    print(shared.opts.sagemaker_endpoint)
     return gr.update(value=shared.opts.sagemaker_endpoint, choices=shared.sagemaker_endpoints)
 
 def update_sd_model_checkpoint():
+    print(shared.opts.sd_model_checkpoint)
     return gr.update(value=shared.opts.sd_model_checkpoint, choices=modules.sd_models.checkpoint_tiles())
 
 def update_username():
@@ -688,10 +690,11 @@ def update_username():
             items = []
             for item in json.loads(response.text):
                 items.append([item['username'], item['password'], item['options'] if 'options' in item else ''])
-            print(items)
             return gr.update(value=shared.username), gr.update(value=items)
         else:
             return gr.update(value=shared.username), gr.update()
+    else:
+        return gr.update(value=shared.username), gr.update()
 
 def create_ui():
     import modules.img2img
@@ -2092,7 +2095,7 @@ def save_userdata(user_dataframe, request: gr.Request):
                 component_dict[k] = component
 
         with gr.Row():
-            with gr.Column(scale=4):
+            with gr.Column(scale=5):
                 gr.HTML(value='<h1 align="right">Current user : </h1>')
             with gr.Column(scale=1):
                 username_state = gr.HTML()