From 16f978b81dd575e9899332e2de70ed2dde94d8aa Mon Sep 17 00:00:00 2001
From: Uxito-Ada <414416158@qq.com>
Date: Tue, 14 Jul 2026 08:29:33 +0000
Subject: [PATCH] Fix Wan2.1-T2V-14B H100 example

---
 examples/wan_video/README.md                       |  8 +++++++-
 examples/wan_video/wan21_14b_text_to_video_h100.py | 14 +++++++-------
 2 files changed, 14 insertions(+), 8 deletions(-)

diff --git a/examples/wan_video/README.md b/examples/wan_video/README.md
index e879a9a..c97a1aa 100644
--- a/examples/wan_video/README.md
+++ b/examples/wan_video/README.md
@@ -203,6 +203,12 @@ python examples/wan_video/wan21_14b_text_to_video_h100.py --gpu_num 2 --prompt "
 python examples/wan_video/wan21_14b_text_to_video_h100.py --resolution 720p --aspect_ratio 16:9
 ```
 
+**Hint:**
+If you encounter error like `RuntimeError: unable to open shared memory object`, `OSError: Too many open files`, solve it with:
+```bash
+ulimit -n 65535
+```
+
 **Features:**
 - 14B parameter model for high-quality generation
 - CFG parallel enabled (cfg_scale=5.0)
@@ -574,4 +580,4 @@ python examples/wan_video/async_wan22_14b_image_to_video_distill_h100.py \
 - FP8 quantization reduces memory by ~50%
 - Ray distributed inference enables efficient multi-GPU scaling
 - Feature cache is configured via `ModelRuntimeConfig.feature_cache_config` during pipeline initialization
-- Parallel config is automatically set based on cfg_scale values
\ No newline at end of file
+- Parallel config is automatically set based on cfg_scale values
diff --git a/examples/wan_video/wan21_14b_text_to_video_h100.py b/examples/wan_video/wan21_14b_text_to_video_h100.py
index 68bdcdb..d964ce5 100644
--- a/examples/wan_video/wan21_14b_text_to_video_h100.py
+++ b/examples/wan_video/wan21_14b_text_to_video_h100.py
@@ -44,13 +44,12 @@
 def get_dit_path_list(model_root):
     """Generate DiT model paths based on model_root."""
     return [
-        f"{model_root}/diffusion_pytorch_model-00001-of-00007.safetensors",
-        f"{model_root}/diffusion_pytorch_model-00002-of-00007.safetensors",
-        f"{model_root}/diffusion_pytorch_model-00003-of-00007.safetensors",
-        f"{model_root}/diffusion_pytorch_model-00004-of-00007.safetensors",
-        f"{model_root}/diffusion_pytorch_model-00005-of-00007.safetensors",
-        f"{model_root}/diffusion_pytorch_model-00006-of-00007.safetensors",
-        f"{model_root}/diffusion_pytorch_model-00007-of-00007.safetensors",
+        f"{model_root}/diffusion_pytorch_model-00001-of-00006.safetensors",
+        f"{model_root}/diffusion_pytorch_model-00002-of-00006.safetensors",
+        f"{model_root}/diffusion_pytorch_model-00003-of-00006.safetensors",
+        f"{model_root}/diffusion_pytorch_model-00004-of-00006.safetensors",
+        f"{model_root}/diffusion_pytorch_model-00005-of-00006.safetensors",
+        f"{model_root}/diffusion_pytorch_model-00006-of-00006.safetensors",
     ]
 
 
@@ -99,6 +98,7 @@ def get_pipeline(parallelism=1, model_root=PPL_CONFIG["model_root"]):
 
         pipe_config.dit_config.parallel_config.device_ids = list(range(parallelism))
         pipe_config.enable_denoising_parallel = True
+        pipe_config.dit_config.parallel_config.timeout = 3600
     pipe.init(module_manager, pipe_config)
     return pipe