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Commit d7d45faf authored by helloyongyang's avatar helloyongyang
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update caching scripts and configs

parent 220a631f
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Showing with 210 additions and 91 deletions
configs/caching/hunyuan_i2v_TaylorSeer.json deleted 100755 → 0
View file @ 220a631f
{
"infer_steps": 20,
"target_video_length": 33,
"i2v_resolution": "720p",
"attention_type": "flash_attn3",
"seed": 0,
"mm_config": {
"mm_type": "W-int8-channel-sym-A-int8-channel-sym-dynamic-Vllm",
"weight_auto_quant": true
},
"feature_caching": "TaylorSeer"
}
configs/caching/hunyuan_i2v_Tea.json deleted 100755 → 0
View file @ 220a631f
{
"infer_steps": 20,
"target_video_length": 33,
"i2v_resolution": "720p",
"attention_type": "flash_attn3",
"seed": 0,
"mm_config": {
"mm_type": "W-int8-channel-sym-A-int8-channel-sym-dynamic-Vllm",
"weight_auto_quant": true
},
"feature_caching": "Tea"
}
configs/caching/hunyuan_t2v_TaylorSeer.json deleted 100755 → 0
View file @ 220a631f
{
"infer_steps": 20,
"target_video_length": 33,
"target_height": 720,
"target_width": 1280,
"attention_type": "flash_attn3",
"seed": 42,
"feature_caching": "TaylorSeer"
}
configs/caching/hunyuan_t2v_Tea.json deleted 100755 → 0
View file @ 220a631f
{
"infer_steps": 20,
"target_video_length": 33,
"target_height": 720,
"target_width": 1280,
"attention_type": "flash_attn3",
"seed": 42,
"mm_config": {
"mm_type": "W-int8-channel-sym-A-int8-channel-sym-dynamic-Vllm",
"weight_auto_quant": true
},
"feature_caching": "Tea"
}
configs/caching/wan_i2v_Tea_720p.json → configs/caching/wan_i2v_custom.json
View file @ d7d45faf
...@@ -4,20 +4,10 @@ ...@@ -4,20 +4,10 @@
"target_height": 480, "target_height": 480,
"target_width": 832, "target_width": 832,
"attention_type": "flash_attn3", "attention_type": "flash_attn3",
"seed": 42, "seed": 442,
"sample_guide_scale": 5, "sample_guide_scale": 5,
"sample_shift": 5, "sample_shift": 3,
"enable_cfg": true, "enable_cfg": true,
"cpu_offload": false, "cpu_offload": false,
"mm_config": { "feature_caching": "Custom"
"mm_type": "W-fp8-channel-sym-A-fp8-channel-sym-dynamic-Sgl",
"weight_auto_quant": true
},
"feature_caching": "Tea",
"coefficients": [
[8.10705460e03, 2.13393892e03, -3.72934672e02, 1.66203073e01, -4.17769401e-02],
[-114.36346466, 65.26524496, -18.82220707, 4.91518089, -0.23412683]
],
"use_ret_steps": true,
"teacache_thresh": 0.26
} }
configs/caching/wan_i2v_Tea_480p.json → configs/caching/wan_i2v_tea.json
View file @ d7d45faf
...@@ -4,20 +4,10 @@ ...@@ -4,20 +4,10 @@
"target_height": 480, "target_height": 480,
"target_width": 832, "target_width": 832,
"attention_type": "flash_attn3", "attention_type": "flash_attn3",
"seed": 42, "seed": 442,
"sample_guide_scale": 5, "sample_guide_scale": 5,
"sample_shift": 5, "sample_shift": 3,
"enable_cfg": true, "enable_cfg": true,
"cpu_offload": false, "cpu_offload": false,
"mm_config": { "feature_caching": "Tea"
"mm_type": "W-fp8-channel-sym-A-fp8-channel-sym-dynamic-Sgl",
"weight_auto_quant": true
},
"feature_caching": "Tea",
"coefficients": [
[2.57151496e05, -3.54229917e04, 1.40286849e03, -1.35890334e01, 1.32517977e-01],
[-3.02331670e02, 2.23948934e02, -5.25463970e01, 5.87348440e00, -2.01973289e-01]
],
"use_ret_steps": true,
"teacache_thresh": 0.26
} }
configs/caching/wan_t2v_Tea_14b.json → configs/caching/wan_t2v_ada.json
View file @ d7d45faf
...@@ -10,15 +10,5 @@ ...@@ -10,15 +10,5 @@
"sample_shift": 8, "sample_shift": 8,
"enable_cfg": true, "enable_cfg": true,
"cpu_offload": false, "cpu_offload": false,
"mm_config": { "feature_caching": "Ada"
"mm_type": "W-fp8-channel-sym-A-fp8-channel-sym-dynamic-Sgl",
"weight_auto_quant": true
},
"feature_caching": "Tea",
"coefficients": [
[-3.03318725e05, 4.90537029e04, -2.65530556e03, 5.87365115e01, -3.15583525e-01],
[-5784.54975374, 5449.50911966, -1811.16591783, 256.27178429, -13.02252404]
],
"use_ret_steps": true,
"teacache_thresh": 0.26
} }
configs/caching/wan_t2v_Tea_1_3b.json → configs/caching/wan_t2v_custom.json
View file @ d7d45faf
...@@ -10,15 +10,5 @@ ...@@ -10,15 +10,5 @@
"sample_shift": 8, "sample_shift": 8,
"enable_cfg": true, "enable_cfg": true,
"cpu_offload": false, "cpu_offload": false,
"mm_config": { "feature_caching": "Custom"
"mm_type": "W-fp8-channel-sym-A-fp8-channel-sym-dynamic-Sgl",
"weight_auto_quant": true
},
"feature_caching": "Tea",
"coefficients": [
[-5.21862437e04, 9.23041404e03, -5.28275948e02, 1.36987616e01, -4.99875664e-02],
[2.39676752e03, -1.31110545e03, 2.01331979e02, -8.29855975e00, 1.37887774e-01]
],
"use_ret_steps": true,
"teacache_thresh": 0.26
} }
configs/caching/wan_t2v_taylorseer.json 0 → 100755
View file @ d7d45faf
{
"infer_steps": 50,
"target_video_length": 81,
"text_len": 512,
"target_height": 480,
"target_width": 832,
"attention_type": "flash_attn3",
"seed": 42,
"sample_guide_scale": 6,
"sample_shift": 8,
"enable_cfg": true,
"cpu_offload": false,
"feature_caching": "TaylorSeer"
}
configs/caching/wan_t2v_tea.json 0 → 100755
View file @ d7d45faf
{
"infer_steps": 50,
"target_video_length": 81,
"text_len": 512,
"target_height": 480,
"target_width": 832,
"attention_type": "flash_attn3",
"seed": 42,
"sample_guide_scale": 6,
"sample_shift": 8,
"enable_cfg": true,
"cpu_offload": false,
"feature_caching": "Tea"
}
scripts/run_wan_i2v_with_lora.sh → scripts/caching/run_wan_i2v_custom.sh
View file @ d7d45faf
...@@ -3,7 +3,6 @@ ...@@ -3,7 +3,6 @@
# set path and first # set path and first
lightx2v_path= lightx2v_path=
model_path= model_path=
lora_path=
# check section # check section
if [ -z "${CUDA_VISIBLE_DEVICES}" ]; then if [ -z "${CUDA_VISIBLE_DEVICES}" ]; then
...@@ -12,40 +11,30 @@ if [ -z "${CUDA_VISIBLE_DEVICES}" ]; then ...@@ -12,40 +11,30 @@ if [ -z "${CUDA_VISIBLE_DEVICES}" ]; then
export CUDA_VISIBLE_DEVICES=${cuda_devices} export CUDA_VISIBLE_DEVICES=${cuda_devices}
fi fi
if [ -z "${model_path}" ]; then if [ -z "${lightx2v_path}" ]; then
echo "Error: model_path is not set. Please set this variable first." echo "Error: lightx2v_path is not set. Please set this variable first."
exit 1 exit 1
fi fi
if [ -z "${lora_path}" ]; then if [ -z "${model_path}" ]; then
echo "Error: lora_path is not set. Please set this variable first." echo "Error: model_path is not set. Please set this variable first."
exit 1 exit 1
fi fi
export TOKENIZERS_PARALLELISM=false export TOKENIZERS_PARALLELISM=false
export PYTHONPATH=${lightx2v_path}:$PYTHONPATH export PYTHONPATH=${lightx2v_path}:$PYTHONPATH
export DTYPE=BF16
export ENABLE_PROFILING_DEBUG=true export ENABLE_PROFILING_DEBUG=true
export ENABLE_GRAPH_MODE=false
export DTYPE=BF16
python -m lightx2v.infer \ python -m lightx2v.infer \
--model_cls wan2.1 \ --model_cls wan2.1 \
--task i2v \ --task i2v \
--model_path $model_path \ --model_path $model_path \
--prompt "画面中的物体轻轻向上跃起，变成了外貌相似的毛绒玩具。毛绒玩具有着一双眼睛，它的颜色和之前的一样。然后，它开始跳跃起来。背景保持一致，气氛显得格外俏皮。" \ --config_json ${lightx2v_path}/configs/caching/wan_i2v_custom.json \
--infer_steps 40 \ --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." \
--target_video_length 81 \ --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" \
--target_width 832 \
--target_height 480 \
--attention_type flash_attn3 \
--seed 42 \
--negative_prompt "画面过曝，模糊，文字，字幕" \
--save_video_path ${lightx2v_path}/save_results/output_lightx2v_wan_i2v.mp4 \
--sample_guide_scale 5 \
--sample_shift 5 \
--image_path ${lightx2v_path}/assets/inputs/imgs/img_0.jpg \ --image_path ${lightx2v_path}/assets/inputs/imgs/img_0.jpg \
--lora_path ${lora_path} \ --save_video_path ${lightx2v_path}/save_results/output_lightx2v_wan_i2v_custom.mp4
--feature_caching Tea \
--mm_config '{"mm_type": "W-fp8-channel-sym-A-fp8-channel-sym-dynamic-Vllm", "weight_auto_quant": true}' \
# --mm_config '{"mm_type": "Default", "weight_auto_quant": true}' \
# --use_ret_steps \
scripts/run_wan_i2v_tea.sh → scripts/caching/run_wan_i2v_tea.sh
View file @ d7d45faf
...@@ -7,7 +7,7 @@ model_path= ...@@ -7,7 +7,7 @@ model_path=
# check section # check section
if [ -z "${CUDA_VISIBLE_DEVICES}" ]; then if [ -z "${CUDA_VISIBLE_DEVICES}" ]; then
cuda_devices=0 cuda_devices=0
echo "Warn: CUDA_VISIBLE_DEVICES is not set, using defalt value: ${cuda_devices}, change at shell script or set env variable." echo "Warn: CUDA_VISIBLE_DEVICES is not set, using default value: ${cuda_devices}, change at shell script or set env variable."
export CUDA_VISIBLE_DEVICES=${cuda_devices} export CUDA_VISIBLE_DEVICES=${cuda_devices}
fi fi
...@@ -24,15 +24,16 @@ fi ...@@ -24,15 +24,16 @@ fi
export TOKENIZERS_PARALLELISM=false export TOKENIZERS_PARALLELISM=false
export PYTHONPATH=${lightx2v_path}:$PYTHONPATH export PYTHONPATH=${lightx2v_path}:$PYTHONPATH
export DTYPE=BF16
export ENABLE_PROFILING_DEBUG=true export ENABLE_PROFILING_DEBUG=true
export ENABLE_GRAPH_MODE=false export ENABLE_GRAPH_MODE=false
export DTYPE=BF16
python -m lightx2v.infer \ python -m lightx2v.infer \
--model_cls wan2.1 \ --model_cls wan2.1 \
--task i2v \ --task i2v \
--model_path $model_path \ --model_path $model_path \
--config_json ${lightx2v_path}/configs/caching/wan_i2v_Tea.json \ --config_json ${lightx2v_path}/configs/caching/wan_i2v_tea.json \
--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." \ --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" \ --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 ${lightx2v_path}/assets/inputs/imgs/img_0.jpg \ --image_path ${lightx2v_path}/assets/inputs/imgs/img_0.jpg \
......
scripts/run_hunyuan_t2v_taylorseer.sh → scripts/caching/run_wan_t2v_ada.sh
View file @ d7d45faf
...@@ -26,11 +26,13 @@ export TOKENIZERS_PARALLELISM=false ...@@ -26,11 +26,13 @@ export TOKENIZERS_PARALLELISM=false
export PYTHONPATH=${lightx2v_path}:$PYTHONPATH export PYTHONPATH=${lightx2v_path}:$PYTHONPATH
export DTYPE=BF16 export DTYPE=BF16
export ENABLE_PROFILING_DEBUG=true export ENABLE_PROFILING_DEBUG=true
export ENABLE_GRAPH_MODE=false
python -m lightx2v.infer \ python -m lightx2v.infer \
--model_cls hunyuan \ --model_cls wan2.1 \
--task t2v \ --task t2v \
--model_path $model_path \ --model_path $model_path \
--config_json ${lightx2v_path}/configs/caching/hunyuan_t2v_TaylorSeer.json \ --config_json ${lightx2v_path}/configs/caching/wan_t2v_ada.json \
--prompt "A cat walks on the grass, realistic style." \ --prompt "Two anthropomorphic cats in comfy boxing gear and bright gloves fight intensely on a spotlighted stage." \
--save_video_path ${lightx2v_path}/save_results/output_lightx2v_hy_t2v_taylor.mp4 --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" \
--save_video_path ${lightx2v_path}/save_results/output_lightx2v_wan_t2v_ada.mp4
scripts/run_hunyuan_i2v_taylorseer.sh → scripts/caching/run_wan_t2v_custom.sh
View file @ d7d45faf
...@@ -7,7 +7,7 @@ model_path= ...@@ -7,7 +7,7 @@ model_path=
# check section # check section
if [ -z "${CUDA_VISIBLE_DEVICES}" ]; then if [ -z "${CUDA_VISIBLE_DEVICES}" ]; then
cuda_devices=0 cuda_devices=0
echo "Warn: CUDA_VISIBLE_DEVICES is not set, using defalt value: ${cuda_devices}, change at shell script or set env variable." echo "Warn: CUDA_VISIBLE_DEVICES is not set, using default value: ${cuda_devices}, change at shell script or set env variable."
export CUDA_VISIBLE_DEVICES=${cuda_devices} export CUDA_VISIBLE_DEVICES=${cuda_devices}
fi fi
...@@ -29,10 +29,10 @@ export ENABLE_PROFILING_DEBUG=true ...@@ -29,10 +29,10 @@ export ENABLE_PROFILING_DEBUG=true
export ENABLE_GRAPH_MODE=false export ENABLE_GRAPH_MODE=false
python -m lightx2v.infer \ python -m lightx2v.infer \
--model_cls hunyuan \ --model_cls wan2.1 \
--task i2v \ --task t2v \
--model_path $model_path \ --model_path $model_path \
--config_json ${lightx2v_path}/configs/caching/hunyuan_i2v_TaylorSeer.json \ --config_json ${lightx2v_path}/configs/caching/wan_t2v_custom.json \
--prompt "An Asian man with short hair in black tactical uniform and white clothes waves a firework stick." \ --prompt "Two anthropomorphic cats in comfy boxing gear and bright gloves fight intensely on a spotlighted stage." \
--image_path ${lightx2v_path}/assets/inputs/imgs/img_1.jpg \ --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" \
--save_video_path ${lightx2v_path}/save_results/output_lightx2v_hy_i2v_taylor.mp4 --save_video_path ${lightx2v_path}/save_results/output_lightx2v_wan_t2v_custom.mp4
scripts/run_hunyuan_i2v_tea.sh → scripts/caching/run_wan_t2v_taylorseer.sh
View file @ d7d45faf
...@@ -7,7 +7,7 @@ model_path= ...@@ -7,7 +7,7 @@ model_path=
# check section # check section
if [ -z "${CUDA_VISIBLE_DEVICES}" ]; then if [ -z "${CUDA_VISIBLE_DEVICES}" ]; then
cuda_devices=0 cuda_devices=0
echo "Warn: CUDA_VISIBLE_DEVICES is not set, using defalt value: ${cuda_devices}, change at shell script or set env variable." echo "Warn: CUDA_VISIBLE_DEVICES is not set, using default value: ${cuda_devices}, change at shell script or set env variable."
export CUDA_VISIBLE_DEVICES=${cuda_devices} export CUDA_VISIBLE_DEVICES=${cuda_devices}
fi fi
...@@ -29,10 +29,10 @@ export ENABLE_PROFILING_DEBUG=true ...@@ -29,10 +29,10 @@ export ENABLE_PROFILING_DEBUG=true
export ENABLE_GRAPH_MODE=false export ENABLE_GRAPH_MODE=false
python -m lightx2v.infer \ python -m lightx2v.infer \
--model_cls hunyuan \ --model_cls wan2.1 \
--task i2v \ --task t2v \
--model_path $model_path \ --model_path $model_path \
--config_json ${lightx2v_path}/configs/caching/hunyuan_i2v_Tea.json \ --config_json ${lightx2v_path}/configs/caching/wan_t2v_taylorseer.json \
--prompt "An Asian man with short hair in black tactical uniform and white clothes waves a firework stick." \ --prompt "Two anthropomorphic cats in comfy boxing gear and bright gloves fight intensely on a spotlighted stage." \
--image_path ${lightx2v_path}/assets/inputs/imgs/img_1.jpg \ --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" \
--save_video_path ${lightx2v_path}/save_results/output_lightx2v_hy_i2v_tea.mp4 --save_video_path ${lightx2v_path}/save_results/output_lightx2v_wan_t2v_taylorseer.mp4
scripts/run_wan_t2v_tea.sh → scripts/caching/run_wan_t2v_tea.sh
View file @ d7d45faf
...@@ -7,7 +7,7 @@ model_path= ...@@ -7,7 +7,7 @@ model_path=
# check section # check section
if [ -z "${CUDA_VISIBLE_DEVICES}" ]; then if [ -z "${CUDA_VISIBLE_DEVICES}" ]; then
cuda_devices=0 cuda_devices=0
echo "Warn: CUDA_VISIBLE_DEVICES is not set, using defalt value: ${cuda_devices}, change at shell script or set env variable." echo "Warn: CUDA_VISIBLE_DEVICES is not set, using default value: ${cuda_devices}, change at shell script or set env variable."
export CUDA_VISIBLE_DEVICES=${cuda_devices} export CUDA_VISIBLE_DEVICES=${cuda_devices}
fi fi
...@@ -32,7 +32,7 @@ python -m lightx2v.infer \ ...@@ -32,7 +32,7 @@ python -m lightx2v.infer \
--model_cls wan2.1 \ --model_cls wan2.1 \
--task t2v \ --task t2v \
--model_path $model_path \ --model_path $model_path \
--config_json ${lightx2v_path}/configs/caching/wan_t2v_Tea.json \ --config_json ${lightx2v_path}/configs/caching/wan_t2v_tea.json \
--prompt "Two anthropomorphic cats in comfy boxing gear and bright gloves fight intensely on a spotlighted stage." \ --prompt "Two anthropomorphic cats in comfy boxing gear and bright gloves fight intensely on a spotlighted stage." \
--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" \ --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" \
--save_video_path ${lightx2v_path}/save_results/output_lightx2v_wan_t2v_tea.mp4 --save_video_path ${lightx2v_path}/save_results/output_lightx2v_wan_t2v_tea.mp4
scripts/run_hunyuan_t2v_tea.sh deleted 100755 → 0
View file @ 220a631f
#!/bin/bash
# set path and first
lightx2v_path=
model_path=
# check section
if [ -z "${CUDA_VISIBLE_DEVICES}" ]; then
cuda_devices=0
echo "Warn: CUDA_VISIBLE_DEVICES is not set, using defalt value: ${cuda_devices}, change at shell script or set env variable."
export CUDA_VISIBLE_DEVICES=${cuda_devices}
fi
if [ -z "${lightx2v_path}" ]; then
echo "Error: lightx2v_path is not set. Please set this variable first."
exit 1
fi
if [ -z "${model_path}" ]; then
echo "Error: model_path is not set. Please set this variable first."
exit 1
fi
export TOKENIZERS_PARALLELISM=false
export PYTHONPATH=${lightx2v_path}:$PYTHONPATH
export DTYPE=BF16
export ENABLE_PROFILING_DEBUG=true
python -m lightx2v.infer \
--model_cls hunyuan \
--task t2v \
--model_path $model_path \
--config_json ${lightx2v_path}/configs/caching/hunyuan_t2v_Tea.json \
--prompt "A cat walks on the grass, realistic style." \
--save_video_path ${lightx2v_path}/save_results/output_lightx2v_hy_t2v_tea.mp4
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