update docs

docs/EN/source/deploy_guides/model_structure.md

@@ -43,27 +43,29 @@ Using `Wan2.1-I2V-14B-480P-StepDistill-CfgDistill-LightX2V` as an example, the s
 
 ```
 Wan2.1-I2V-14B-480P-StepDistill-CfgDistill-LightX2V/
-├── distill_fp8/                                          # FP8 quantized version (DIT/T5/CLIP)
+├── distill_fp8/                                  # FP8 quantized version (DIT/T5/CLIP)
 │   ├── block_xx.safetensors                      # DIT model FP8 quantized version
 │   ├── models_t5_umt5-xxl-enc-fp8.pth            # T5 encoder FP8 quantized version
 │   ├── clip-fp8.pth                              # CLIP encoder FP8 quantized version
 │   ├── Wan2.1_VAE.pth                            # VAE variational autoencoder
 │   ├── taew2_1.pth                               # Lightweight VAE (optional)
 │   └── config.json                               # Model configuration file
-├── distill_int8/                                         # INT8 quantized version (DIT/T5/CLIP)
+├── distill_int8/                                 # INT8 quantized version (DIT/T5/CLIP)
 │   ├── block_xx.safetensors                      # DIT model INT8 quantized version
 │   ├── models_t5_umt5-xxl-enc-int8.pth           # T5 encoder INT8 quantized version
 │   ├── clip-int8.pth                             # CLIP encoder INT8 quantized version
 │   ├── Wan2.1_VAE.pth                            # VAE variational autoencoder
 │   ├── taew2_1.pth                               # Lightweight VAE (optional)
 │   └── config.json                               # Model configuration file
-├── distill_models/                                     # Original precision version (DIT/T5/CLIP)
+├── distill_models/                               # Original precision version (DIT/T5/CLIP)
 │   ├── distill_model.safetensors                 # DIT model original precision version
 │   ├── models_t5_umt5-xxl-enc-bf16.pth           # T5 encoder original precision version
 │   ├── models_clip_open-clip-xlm-roberta-large-vit-huge-14.pth  # CLIP encoder original precision version
 │   ├── Wan2.1_VAE.pth                            # VAE variational autoencoder
 │   ├── taew2_1.pth                               # Lightweight VAE (optional)
 │   └── config.json                               # Model configuration file
+├── loras/
+│   ├── Wan21_I2V_14B_lightx2v_cfg_step_distill_lora_rank64.safetensors  # Distillation model lora
 ```
 
 ### 💾 Storage Recommendations

docs/ZH_CN/source/deploy_guides/model_structure.md

@@ -44,27 +44,29 @@ Wan2.1-I2V-14B-480P-LightX2V/
 
 ```
 Wan2.1-I2V-14B-480P-StepDistill-CfgDistill-LightX2V/
-├── distill_fp8/                                          # FP8 量化版本 (DIT/T5/CLIP)
+├── distill_fp8/                                  # FP8 量化版本 (DIT/T5/CLIP)
 │   ├── block_xx.safetensors                      # DIT 模型 FP8 量化版本
 │   ├── models_t5_umt5-xxl-enc-fp8.pth            # T5 编码器 FP8 量化版本
 │   ├── clip-fp8.pth                              # CLIP 编码器 FP8 量化版本
 │   ├── Wan2.1_VAE.pth                            # VAE 变分自编码器
 │   ├── taew2_1.pth                               # 轻量级 VAE (可选)
 │   └── config.json                               # 模型配置文件
-├── distill_int8/                                         # INT8 量化版本 (DIT/T5/CLIP)
+├── distill_int8/                                 # INT8 量化版本 (DIT/T5/CLIP)
 │   ├── block_xx.safetensors                      # DIT 模型 INT8 量化版本
 │   ├── models_t5_umt5-xxl-enc-int8.pth           # T5 编码器 INT8 量化版本
 │   ├── clip-int8.pth                             # CLIP 编码器 INT8 量化版本
 │   ├── Wan2.1_VAE.pth                            # VAE 变分自编码器
 │   ├── taew2_1.pth                               # 轻量级 VAE (可选)
 │   └── config.json                               # 模型配置文件
-├── distill_models/                                     # 原始精度版本 (DIT/T5/CLIP)
+├── distill_models/                               # 原始精度版本 (DIT/T5/CLIP)
 │   ├── distill_model.safetensors                 # DIT 模型原始精度版本
 │   ├── models_t5_umt5-xxl-enc-bf16.pth           # T5 编码器原始精度版本
 │   ├── models_clip_open-clip-xlm-roberta-large-vit-huge-14.pth  # CLIP 编码器原始精度版本
 │   ├── Wan2.1_VAE.pth                            # VAE 变分自编码器
 │   ├── taew2_1.pth                               # 轻量级 VAE (可选)
 │   └── config.json                               # 模型配置文件
+├── loras/
+│   ├── Wan21_I2V_14B_lightx2v_cfg_step_distill_lora_rank64.safetensors  # 蒸馏模型lora
 ```
 
 ### 💾 存储建议

scripts/server/post_i2v.py

@@ -5,9 +5,9 @@ if __name__ == "__main__":
     url = "http://localhost:8000/v1/tasks/"
 
     message = {
-        "prompt": "镜头向左平移。",
+        "prompt": "Summer beach vacation style, a white cat wearing sunglasses sits on a surfboard. The fluffy-furred feline gazes directly at the camera with a relaxed expression. Blurred beach scenery forms the background featuring crystal-clear waters, distant green hills, and a blue sky dotted with white clouds. The cat assumes a naturally relaxed posture, as if savoring the sea breeze and warm sunlight. A close-up shot highlights the feline's intricate details and the refreshing atmosphere of the seaside.",
         "negative_prompt": "镜头晃动，色调艳丽，过曝，静态，细节模糊不清，字幕，风格，作品，画作，画面，静止，整体发灰，最差质量，低质量，JPEG压缩残留，丑陋的，残缺的，多余的手指，画得不好的手部，画得不好的脸部，畸形的，毁容的，形态畸形的肢体，手指融合，静止不动的画面，杂乱的背景，三条腿，背景人很多，倒着走",
-        "image_path": "assets/inputs/imgs/test_1.png",  # 图片地址
+        "image_path": "assets/inputs/imgs/img_0.jpg",  # 图片地址
     }
 
     logger.info(f"message: {message}")