update readme (#495)

examples/README.md

@@ -250,7 +250,8 @@ Using lightweight VAE can accelerate decoding and reduce memory usage.
 pipe.enable_lightvae(
     use_lightvae=False,    # Whether to use LightVAE
     use_tae=False,         # Whether to use LightTAE
-    vae_path=None,         # Path to LightVAE or LightTAE
+    vae_path=None,         # Path to LightVAE
+    tae_path=None,         # Path to LightTAE
 )
 ```
 

examples/README_zh.md

@@ -250,7 +250,8 @@ pipe.enable_cache(
 pipe.enable_lightvae(
     use_lightvae=False,    # 是否使用 LightVAE
     use_tae=False,         # 是否使用 LightTAE
-    vae_path=None,         # LightVAE 或 LightTAE 的路径
+    vae_path=None,         # LightVAE 的路径
+    tae_path=None,         # LightTAE 的路径
 )
 ```
 

examples/hunyuan_video/hunyuan_t2v.py

@@ -29,7 +29,7 @@ pipe.enable_offload(
 # Use lighttae
 pipe.enable_lightvae(
     use_tae=True,
-    tae_path="/data/nvme0/gushiqiao/models/hy_tae_models/model8.pth",
+    tae_path="/path/to/lighttaehy1_5.safetensors",
     use_lightvae=False,
     vae_path=None,
 )

examples/wan/wan_i2v_with_distill_loras.py

@@ -32,8 +32,8 @@ pipe.enable_offload(
 # Load distilled LoRA weights
 pipe.enable_lora(
     [
-        {"name": "high_noise_model", "path": "/data/nvme0/gushiqiao/models/old_loras/loras/wan2.2_i2v_A14b_high_noise_lora_rank64_lightx2v_4step_1022.safetensors", "strength": 1.0},
-        {"name": "low_noise_model", "path": "/data/nvme0/gushiqiao/models/old_loras/loras/wan2.2_i2v_A14b_low_noise_lora_rank64_lightx2v_4step_1022.safetensors", "strength": 1.0},
+        {"name": "high_noise_model", "path": "/path/to/wan2.2_i2v_A14b_high_noise_lora_rank64_lightx2v_4step_1022.safetensors", "strength": 1.0},
+        {"name": "low_noise_model", "path": "/path/to/wan2.2_i2v_A14b_low_noise_lora_rank64_lightx2v_4step_1022.safetensors", "strength": 1.0},
     ]
 )