diff --git a/dsLightRag/Liblib/T3.py b/dsLightRag/Liblib/T2_CopyFace.py
similarity index 100%
rename from dsLightRag/Liblib/T3.py
rename to dsLightRag/Liblib/T2_CopyFace.py
diff --git a/dsLightRag/Liblib/T2.py b/dsLightRag/Liblib/T3_WenShengTu_DefaultCheckPoint.py
similarity index 85%
rename from dsLightRag/Liblib/T2.py
rename to dsLightRag/Liblib/T3_WenShengTu_DefaultCheckPoint.py
index 288deb85..4dbcadbd 100644
--- a/dsLightRag/Liblib/T2.py
+++ b/dsLightRag/Liblib/T3_WenShengTu_DefaultCheckPoint.py
@@ -1,6 +1,12 @@
 from Liblib.LibLibGenerator import LibLibGenerator
 
 if __name__ == '__main__':
+    # - Checkpoint默认为官方模型
+    """
+    - Checkpoint默认为官方模型
+    - 可用模型范围：基础算法F.1
+    - 支持additional network
+    """
     generate_params = {
         "templateUuid": "6f7c4652458d4802969f8d089cf5b91f",  # 参数模板ID F.1文生图
         "generateParams": {
diff --git a/dsLightRag/Liblib/T4_WenShengTu_CustomCheckPoint.py b/dsLightRag/Liblib/T4_WenShengTu_CustomCheckPoint.py
new file mode 100644
index 00000000..fa83d3c9
--- /dev/null
+++ b/dsLightRag/Liblib/T4_WenShengTu_CustomCheckPoint.py
@@ -0,0 +1,39 @@
+from Liblib.LibLibGenerator import LibLibGenerator
+
+if __name__ == '__main__':
+    generate_params = {
+    "templateUuid": "e10adc3949ba59abbe56e057f20f883e",
+    "generateParams": {
+        "checkPointId": "0ea388c7eb854be3ba3c6f65aac6bfd3", # 底模 modelVersionUUID
+        "prompt": "Asian portrait,A young woman wearing a green baseball cap,covering one eye with her hand", # 选填
+        "negativePrompt": "ng_deepnegative_v1_75t,(badhandv4:1.2),EasyNegative,(worst quality:2),", #选填
+        "sampler": 15, # 采样方法
+        "steps": 20, # 采样步数
+        "cfgScale": 7, # 提示词引导系数
+        "width": 768, # 宽
+        "height": 1024, # 高
+        "imgCount": 1, # 图片数量    
+        "randnSource": 0,  # 随机种子生成器 0 cpu，1 Gpu
+        "seed": 2228967414, # 随机种子值，-1表示随机    
+        "restoreFaces": 0,  # 面部修复，0关闭，1开启
+        
+        # 高分辨率修复
+        "hiResFixInfo": {
+            "hiresSteps": 20, # 高分辨率修复的重绘步数
+            "hiresDenoisingStrength": 0.75, # 高分辨率修复的重绘幅度
+            "upscaler": 10, # 放大算法模型枚举
+            "resizedWidth": 1024,  # 放大后的宽度
+            "resizedHeight": 1536  # 放大后的高度
+        }
+    }
+}
+
+    liblib = LibLibGenerator()
+
+    # 调用生成接口
+    response = liblib.post_request(
+        "/api/generate/webui/text2img",
+        generate_params
+    )
+    # {'generateUuid': 'f16463d55e144214ae12d5177f8256fc'}
+    print(response)