Update README.md

README.md

@@ -8,7 +8,7 @@
 ### 1. 模型量化
 #### 1.1 Wan2.2-lightning-I2V-A14B 量化为 INT8
 ```bash
-python converter.py \
+python tools/convert/converter.py \
     --source /path/to/Wan2.2-I2V-A14B/low_noise_model \
     --output /path/to/Wan2.2-I2V-A14B-INT8/low_noise_model \
     --output_ext .safetensors \
@@ -20,7 +20,7 @@ python converter.py \
     --save_by_block
 ```
 ```bash
-python converter.py \
+python tools/convert/converter.py \
     --source /path/to/Wan2.2-I2V-A14B/high_noise_model \
     --output /path/to/Wan2.2-I2V-A14B-INT8/high_noise_model \
     --output_ext .safetensors \
@@ -35,7 +35,7 @@ python converter.py \
 
 #### 1.2 Wan2.1-I2V-14B-480P 量化为 INT8
 ```bash
-python converter.py \
+python tools/convert/converter.py \
     --source /path/to/Wan2.1-I2V-14B-480P \
     --output /path/to/Wan2.1-I2V-14B-480P-INT8 \
     --output_ext .safetensors \
@@ -50,7 +50,7 @@ python converter.py \
 
 #### 1.3 Wan2.2-TI2V-5B 量化为 INT8
 ```bash
-python converter.py \
+python tools/convert/converter.py \
     --source /path/to/Wan2.2-TI2V-5B \
     --output /path/to/Wan2.2-TI2V-5B-INT8 \
     --output_ext .safetensors \
@@ -67,7 +67,7 @@ python converter.py \
 ### 2. LoRA 融合
 #### 2.1 融合单个 LoRA
 ```bash
-python converter.py \
+python tools/convert/converter.py \
     --source /path/to/base_model/ \
     --output /path/to/output \
     --output_ext .safetensors \
@@ -80,7 +80,7 @@ python converter.py \
 
 #### 2.2 融合多个 LoRA
 ```bash
-python converter.py \
+python tools/convert/converter.py \
     --source /path/to/base_model/ \
     --output /path/to/output \
     --output_ext .safetensors \