Update v2 frontend to 0.0.4 (#318)

Update v2 frontend to 0.0.4

README.ZH_CN.md

@@ -51,7 +51,7 @@ git clone https://github.com/yolain/ComfyUI-Easy-Use
 
 ## 👨🏻‍🚀 计划
 
-- [ ] 更新便于维护的新前端代码
+- [x] 更新便于维护的新前端代码
   - [x] 使用sass维护css样式
   - [x] 对原有扩展进行优化
   - [x] 增加新的组件（如节点时间统计等） 
@@ -62,6 +62,7 @@ git clone https://github.com/yolain/ComfyUI-Easy-Use
 
 **v1.2.2**
 
+- 增加 v2 版本新前端代码
 - 增加 `easy fluxLoader`
 - 增加 `controlnetApply` 相关节点对sd3和hunyuanDiT的支持
 
@@ -149,7 +150,8 @@ git clone https://github.com/yolain/ComfyUI-Easy-Use
 - `easy wildcards` 增加 **multiline_mode**属性 
 - 增加 当节点需要下载模型时，若huggingface连接超时，会切换至镜像地址下载模型
 
-**v1.1.2**
+<details>
+<summary><b>v1.1.2</b></summary>
 
 - 改写 EasyUse 相关节点的部分插槽推荐节点
 - 增加 **启用上下文菜单自动嵌套子目录** 设置项，默认为启用状态，可分类子目录及checkpoints、loras预览图
@@ -164,8 +166,10 @@ git clone https://github.com/yolain/ComfyUI-Easy-Use
 - 修复 `easy stylesSelector` 当未选择样式时，原有提示词发生了变化
 - 修复 `easy pipeEdit` 提示词输入lora时报错
 - 修复 layerDiffuse xyplot相关bug
+</details>
 
-**v1.1.1**
+<details>
+<summary><b>v1.1.1/b></summary>
 
 - 修复首次添加含seed的节点且当前模式为control_before_generate时，seed为0的问题
 - `easy preSamplingAdvanced` 增加 **return_with_leftover_noise**
@@ -175,7 +179,7 @@ git clone https://github.com/yolain/ComfyUI-Easy-Use
 - 修补官方BUG: 当control_mode为before 在首次加载页面时未修改节点中widget名称为 control_before_generate
 - 去除强制**control_before_generate**设定
 - 增加 `easy imageRemBg` - 默认为BriaAI的RMBG-1.4模型, 移除背景效果更加，速度更快
-
+</details>
 
 <details>
 <summary><b>v1.1.0</b></summary>

README.md

@@ -46,7 +46,7 @@ Double-click install.bat to install the required dependencies
 
 ## 👨🏻‍🚀 Plan
 
-- [ ] Updated new front-end code for easier maintenance
+- [x] Updated new front-end code for easier maintenance
   - [x] Maintain css styles using sass
   - [x] Optimize existing extensions
   - [x] Add new components
@@ -57,6 +57,7 @@ Double-click install.bat to install the required dependencies
 
 **v1.2.2**
 
+- Added v2 web frond-end code
 - Added `easy fluxLoader`
 - Added support for `controlnetApply` Related nodes with SD3 and hunyuanDiT
 
@@ -137,7 +138,8 @@ Double-click install.bat to install the required dependencies
 - Added `easy promptConcat`
 - `easy wildcards` Added **multiline_mode**  
 
-**v1.1.2**
+<details>
+<summary><b>v1.1.2</b></summary>
 
 - Optimized some of the recommended nodes for slots related to EasyUse
 - Added **Enable ContextMenu Auto Nest Subdirectories** The setting item is enabled by default, and it can be classified into subdirectories, checkpoints and loras previews
@@ -152,8 +154,10 @@ Double-click install.bat to install the required dependencies
 - Fixed `easy pipeEdit` error when add lora to prompt
 - Fixed layerDiffuse xyplot bug
 - `easy kSamplerInpainting` add *additional* widget，you can choose 'Differential Diffusion' or 'Only InpaintModelConditioning'
+</details>
 
-**v1.1.1**
+<details>
+<summary><b>v1.1.1</b></summary>
 
 - The issue that the seed is 0 when a node with a seed control is added and **control before generate** is fixed for the first time run queue prompt.
 - `easy preSamplingAdvanced` Added **return_with_leftover_noise**
@@ -162,6 +166,7 @@ Double-click install.bat to install the required dependencies
 - Renamed all nodes widget name named seed_num to seed
 - Remove forced **control_before_generate** settings。 If you want to use control_before_generate, change widget_value_control_mode to before in system settings
 - Added `easy imageRemBg` - The default is BriaAI's RMBG-1.4 model, which removes the background effect more and faster
+</details>
 
 <details>
 <summary><b>v1.1.0</b></summary>

py/api.py

@@ -150,11 +150,15 @@ async def getModelsList(request):
 # get models thumbnails
 @PromptServer.instance.routes.get("/easyuse/models/thumbnail")
 async def getModelsThumbnail(request):
+    limit = 500
+    if "limit" in request.rel_url.query:
+        limit = request.rel_url.query.get("limit")
+        limit = int(limit)
     checkpoints = folder_paths.get_filename_list("checkpoints_thumb")
     loras = folder_paths.get_filename_list("loras_thumb")
     checkpoints_full = []
     loras_full = []
-    if len(checkpoints) + len(loras) >= 500:
+    if len(checkpoints) + len(loras) >= limit:
         return web.Response(status=400)
     for index, i in enumerate(checkpoints):
         full_path = folder_paths.get_full_path('checkpoints_thumb', str(i))