[format]: remove hard-coded path variable,refine shell

examples/vae_trt/convert_trt.sh

 #!/bin/bash
 export PYTHONPATH="./":$PYTHONPATH
+# onnx_path=""
 # trtexec \
-#     --onnx="/mnt/nvme0/wq/project/sd/code/lightx2v/vae_decoder_hf_sim.onnx" \
+#     --onnx=${onnx_path} \
 #     --saveEngine="./vae_decoder_hf_sim.engine" \
 #     --allowWeightStreaming \
 #     --stronglyTyped \
@@ -11,4 +12,5 @@ export PYTHONPATH="./":$PYTHONPATH
 #     --optShapes=inp:1x16x17x32x16 \
 #     --maxShapes=inp:1x16x17x32x32
 
-python examples/vae_trt/convert_vae_trt_engine.py --model_path "/mnt/nvme1/yongyang/models/hy/ckpts"
+model_path=""
+python examples/vae_trt/convert_vae_trt_engine.py --model_path ${model_path}

lightx2v/attentions/distributed/ring/tests/test.sh

-export PYTHONPATH=/home/devsft/huangxinchi/lightx2v:$PYTHONPATH
+lightx2v_path=""
+export PYTHONPATH=${lightx2v_path}:$PYTHONPATH
 python3 test.py

lightx2v/text2v/models/text_encoders/hf/clip/model.py

@@ -50,7 +50,8 @@ class TextEncoderHFClipModel:
 
 
 if __name__ == "__main__":
-    model = TextEncoderHFClipModel("/mnt/nvme0/yongyang/projects/hy/HunyuanVideo/ckpts/text_encoder_2", torch.device("cuda"))
+    model_path = ""
+    model = TextEncoderHFClipModel(model_path, torch.device("cuda"))
     text = "A cat walks on the grass, realistic style."
     outputs = model.infer(text)
     print(outputs)

lightx2v/text2v/models/text_encoders/hf/llama/model.py

@@ -63,7 +63,8 @@ class TextEncoderHFLlamaModel:
 
 
 if __name__ == "__main__":
-    model = TextEncoderHFLlamaModel("/mnt/nvme0/yongyang/projects/hy/HunyuanVideo/ckpts/text_encoder", torch.device("cuda"))
+    model_path = ""
+    model = TextEncoderHFLlamaModel(model_path, torch.device("cuda"))
     text = "A cat walks on the grass, realistic style."
     outputs = model.infer(text)
     print(outputs)

lightx2v/text2v/models/text_encoders/hf/t5/model.py

@@ -509,7 +509,7 @@ class T5EncoderModel:
 
 
 if __name__ == "__main__":
-    checkpoint_dir = "/mnt/nvme0/yongyang/projects/wan/Wan2.1-T2V-1.3B"
+    checkpoint_dir = ""
     t5_checkpoint = "models_t5_umt5-xxl-enc-bf16.pth"
     t5_tokenizer = "google/umt5-xxl"
     model = T5EncoderModel(

lightx2v/text2v/models/video_encoders/hf/autoencoder_kl_causal_3d/model.py

@@ -41,4 +41,5 @@ class VideoEncoderKLCausal3DModel:
 
 
 if __name__ == "__main__":
-    vae_model = VideoEncoderKLCausal3DModel("/mnt/nvme0/yongyang/projects/hy/new/HunyuanVideo/ckpts", dtype=torch.float16, device=torch.device("cuda"))
+    model_path = ""
+    vae_model = VideoEncoderKLCausal3DModel(model_path, dtype=torch.float16, device=torch.device("cuda"))

lightx2v/text2v/models/video_encoders/trt/autoencoder_kl_causal_3d/model.py

@@ -35,4 +35,5 @@ class VideoEncoderKLCausal3DModel:
 
 
 if __name__ == "__main__":
-    vae_model = VideoEncoderKLCausal3DModel("/mnt/nvme1/yongyang/models/hy/ckpts", dtype=torch.float16, device=torch.device("cuda"))
+    model_path = ""
+    vae_model = VideoEncoderKLCausal3DModel(model_path, dtype=torch.float16, device=torch.device("cuda"))

scripts/run_hunyuan_t2v.sh

 #!/bin/bash
 
-lightx2v_path=/mtc/yongyang/projects/lightx2v
-export PYTHONPATH=${lightx2v_path}:$PYTHONPATH
+# set path and first
+lightx2v_path=""
+model_path=""
+
+# check section
+if [ -z "${CUDA_VISIBLE_DEVICES}" ]; then
+    echo "Warn: CUDA_VISIBLE_DEVICES is not set, using defalt value: 0, change at shell script or set env variable."
+    cuda_devices="0"
+    export CUDA_VISIBLE_DEVICES=${cuda_devices}
+fi
 
-export CUDA_VISIBLE_DEVICES=2
+if [ -z "${lightx2v_path}" ]; then
+    echo "Error: lightx2v_path is not set. Please set this variable first."
+    exit 1
+fi
 
-model_path=/mtc/yongyang/models/x2v_models/hunyuan/lightx2v_format/t2v
+if [ -z "${model_path}" ]; then
+    echo "Error: model_path is not set. Please set this variable first."
+    exit 1
+fi
 
+export PYTHONPATH=${lightx2v_path}:$PYTHONPATH
 
 python ${lightx2v_path}/lightx2v/__main__.py \
 --model_cls hunyuan \

scripts/run_hunyuan_t2v_dist.sh

 #!/bin/bash
 
-lightx2v_path=/home/devsft/huangxinchi/lightx2v
-export PYTHONPATH=${lightx2v_path}:$PYTHONPATH
+# set path and first
+lightx2v_path=""
+model_path=""
+
+# check section
+if [ -z "${CUDA_VISIBLE_DEVICES}" ]; then
+    echo "Warn: CUDA_VISIBLE_DEVICES is not set, using defalt value: 0,1,2,3, change at shell script or set env variable."
+    cuda_devices="0,1,2,3"
+    export CUDA_VISIBLE_DEVICES=${cuda_devices}
+fi
 
-export CUDA_VISIBLE_DEVICES=4,5,6,7
+if [ -z "${lightx2v_path}" ]; then
+    echo "Error: lightx2v_path is not set. Please set this variable first."
+    exit 1
+fi
 
-model_path=/mtc/yongyang/models/x2v_models/hunyuan/lightx2v_format/t2v
+if [ -z "${model_path}" ]; then
+    echo "Error: model_path is not set. Please set this variable first."
+    exit 1
+fi
+
+export PYTHONPATH=${lightx2v_path}:$PYTHONPATH
 
 
 torchrun --nproc_per_node=4 ${lightx2v_path}/lightx2v/__main__.py \

scripts/run_hunyuan_t2v_taylorseer.sh

 #!/bin/bash
 
-lightx2v_path=/mtc/yongyang/projects/lightx2v
-export PYTHONPATH=${lightx2v_path}:$PYTHONPATH
+# set path and first
+lightx2v_path=""
+model_path=""
+
+# check section
+if [ -z "${CUDA_VISIBLE_DEVICES}" ]; then
+    echo "Warn: CUDA_VISIBLE_DEVICES is not set, using defalt value: 0, change at shell script or set env variable."
+    cuda_devices="0"
+    export CUDA_VISIBLE_DEVICES=${cuda_devices}
+fi
 
-export CUDA_VISIBLE_DEVICES=2
+if [ -z "${lightx2v_path}" ]; then
+    echo "Error: lightx2v_path is not set. Please set this variable first."
+    exit 1
+fi
 
-model_path=/mtc/yongyang/models/x2v_models/hunyuan/lightx2v_format/t2v
+if [ -z "${model_path}" ]; then
+    echo "Error: model_path is not set. Please set this variable first."
+    exit 1
+fi
+
+export PYTHONPATH=${lightx2v_path}:$PYTHONPATH
 
 
 python ${lightx2v_path}/lightx2v/__main__.py \

scripts/run_wan_i2v.sh

 #!/bin/bash
 
-lightx2v_path=/mtc/yongyang/projects/lightx2v
-export PYTHONPATH=${lightx2v_path}:$PYTHONPATH
+# set path and first
+lightx2v_path=""
+model_path=""
+config_path=""
+
+# check section
+if [ -z "${CUDA_VISIBLE_DEVICES}" ]; then
+    echo "Warn: CUDA_VISIBLE_DEVICES is not set, using defalt value: 0, change at shell script or set env variable."
+    cuda_devices="0"
+    export CUDA_VISIBLE_DEVICES=${cuda_devices}
+fi
+
+if [ -z "${lightx2v_path}" ]; then
+    echo "Error: lightx2v_path is not set. Please set this variable first."
+    exit 1
+fi
 
-export CUDA_VISIBLE_DEVICES=2
+if [ -z "${model_path}" ]; then
+    echo "Error: model_path is not set. Please set this variable first."
+    exit 1
+fi
 
-model_path=/mtc/yongyang/models/x2v_models/wan/Wan2.1-I2V-14B-480P
-config_path=/mtc/yongyang/models/x2v_models/wan/Wan2.1-I2V-14B-480P/config.json
+if [ -z "${config_path}" ]; then
+    echo "Error: config_path is not set. Please set this variable first."
+    exit 1
+fi
+
+export PYTHONPATH=${lightx2v_path}:$PYTHONPATH
 
 
 python ${lightx2v_path}/lightx2v/__main__.py \

scripts/run_wan_t2v.sh

 #!/bin/bash
 
-lightx2v_path=/mtc/yongyang/projects/lightx2v
-export PYTHONPATH=${lightx2v_path}:$PYTHONPATH
+# set path and first
+lightx2v_path=""
+model_path=""
+config_path=""
+
+# check section
+if [ -z "${CUDA_VISIBLE_DEVICES}" ]; then
+    echo "Warn: CUDA_VISIBLE_DEVICES is not set, using defalt value: 0, change at shell script or set env variable."
+    cuda_devices="0"
+    export CUDA_VISIBLE_DEVICES=${cuda_devices}
+fi
+
+if [ -z "${lightx2v_path}" ]; then
+    echo "Error: lightx2v_path is not set. Please set this variable first."
+    exit 1
+fi
 
-export CUDA_VISIBLE_DEVICES=2
+if [ -z "${model_path}" ]; then
+    echo "Error: model_path is not set. Please set this variable first."
+    exit 1
+fi
 
-model_path=/mtc/yongyang/models/x2v_models/wan/Wan2.1-T2V-1.3B
-config_path=/mtc/yongyang/models/x2v_models/wan/Wan2.1-T2V-1.3B/config.json
+if [ -z "${config_path}" ]; then
+    echo "Error: config_path is not set. Please set this variable first."
+    exit 1
+fi
+
+export PYTHONPATH=${lightx2v_path}:$PYTHONPATH
 
 
 python ${lightx2v_path}/lightx2v/__main__.py \

scripts/run_wan_t2v_dist.sh

 #!/bin/bash
 
-lightx2v_path=/home/devsft/huangxinchi/lightx2v
-export PYTHONPATH=${lightx2v_path}:$PYTHONPATH
+# set path and first
+lightx2v_path=""
+model_path=""
+config_path=""
+
+# check section
+if [ -z "${CUDA_VISIBLE_DEVICES}" ]; then
+    echo "Warn: CUDA_VISIBLE_DEVICES is not set, using defalt value: 0,1,2,3 , change at shell script or set env variable."
+    cuda_devices="0,1,2,3"
+    export CUDA_VISIBLE_DEVICES=${cuda_devices}
+fi
+
+if [ -z "${lightx2v_path}" ]; then
+    echo "Error: lightx2v_path is not set. Please set this variable first."
+    exit 1
+fi
 
-export CUDA_VISIBLE_DEVICES=4,5,6,7
+if [ -z "${model_path}" ]; then
+    echo "Error: model_path is not set. Please set this variable first."
+    exit 1
+fi
 
-model_path=/mtc/yongyang/models/x2v_models/wan/Wan2.1-T2V-1.3B
-config_path=/mtc/yongyang/models/x2v_models/wan/Wan2.1-T2V-1.3B/config.json
+if [ -z "${config_path}" ]; then
+    echo "Error: config_path is not set. Please set this variable first."
+    exit 1
+fi
+
+export PYTHONPATH=${lightx2v_path}:$PYTHONPATH
 
 
 torchrun --nproc_per_node=4 ${lightx2v_path}/lightx2v/__main__.py \