Commit 8bc0da34 authored by gushiqiao's avatar gushiqiao Committed by GitHub
Browse files

reconstruct config and scripts (#81)


Co-authored-by: default avatargushiqiao <gushiqiao@sensetime.com>
parent ad051778
...@@ -11,9 +11,10 @@ ...@@ -11,9 +11,10 @@
"enable_cfg": true, "enable_cfg": true,
"cpu_offload": true, "cpu_offload": true,
"offload_granularity": "phase", "offload_granularity": "phase",
"dit_quantized_ckpt": "/path/to/dit_int8",
"mm_config": { "mm_config": {
"mm_type": "W-int8-channel-sym-A-int8-channel-sym-dynamic-Q8F", "mm_type": "W-int8-channel-sym-A-int8-channel-sym-dynamic-Q8F",
"weight_auto_quant": true "weight_auto_quant": false
}, },
"tiny_vae": true, "tiny_vae": true,
"tiny_vae_path": "/mnt/afs_2/gushiqiao/x2v_models/taew2_1.pth", "tiny_vae_path": "/mnt/afs_2/gushiqiao/x2v_models/taew2_1.pth",
......
{
"infer_steps": 20,
"target_video_length": 33,
"i2v_resolution": "720p",
"attention_type": "flash_attn3",
"seed": 0,
"dit_quantized_ckpt": "/mtc/gushiqiao/llmc_workspace/x2v_models/hunyuan/hunyuan_i2v_int8.pth",
"mm_config": {
"mm_type": "W-int8-channel-sym-A-int8-channel-sym-dynamic-Vllm",
"weight_auto_quant": true
}
}
#!/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 default 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 ENABLE_PROFILING_DEBUG=true
export ENABLE_GRAPH_MODE=false
export DTYPE=BF16
python -m lightx2v.infer \
--model_cls wan2.1 \
--task i2v \
--model_path $model_path \
--config_json ${lightx2v_path}/configs/caching/wan_i2v_custom.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." \
--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 \
--save_video_path ${lightx2v_path}/save_results/output_lightx2v_wan_i2v_custom.mp4
#!/bin/bash
# set path and first
lightx2v_path=
model_path=
# check section
if [ -z "${CUDA_VISIBLE_DEVICES}" ]; then
cuda_devices=0
echo "Warn: CUDA_VISIBLE_DEVICES is not set, using default 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 ENABLE_PROFILING_DEBUG=true
export ENABLE_GRAPH_MODE=false
export DTYPE=BF16
python -m lightx2v.infer \
--model_cls wan2.1 \
--task i2v \
--model_path $model_path \
--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." \
--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 \
--save_video_path ${lightx2v_path}/save_results/output_lightx2v_wan_i2v_tea.mp4
#!/bin/bash
# set path and first
lightx2v_path=
model_path=
# check section
if [ -z "${CUDA_VISIBLE_DEVICES}" ]; then
cuda_devices=0
echo "Warn: CUDA_VISIBLE_DEVICES is not set, using default 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
export ENABLE_GRAPH_MODE=false
python -m lightx2v.infer \
--model_cls wan2.1 \
--task t2v \
--model_path $model_path \
--config_json ${lightx2v_path}/configs/caching/wan_t2v_ada.json \
--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" \
--save_video_path ${lightx2v_path}/save_results/output_lightx2v_wan_t2v_ada.mp4
#!/bin/bash
# set path and first
lightx2v_path=
model_path=
# check section
if [ -z "${CUDA_VISIBLE_DEVICES}" ]; then
cuda_devices=0
echo "Warn: CUDA_VISIBLE_DEVICES is not set, using default 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
export ENABLE_GRAPH_MODE=false
python -m lightx2v.infer \
--model_cls wan2.1 \
--task t2v \
--model_path $model_path \
--config_json ${lightx2v_path}/configs/caching/wan_t2v_custom.json \
--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" \
--save_video_path ${lightx2v_path}/save_results/output_lightx2v_wan_t2v_custom.mp4
#!/bin/bash
# set path and first
lightx2v_path=
model_path=
# check section
if [ -z "${CUDA_VISIBLE_DEVICES}" ]; then
cuda_devices=0
echo "Warn: CUDA_VISIBLE_DEVICES is not set, using default 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
export ENABLE_GRAPH_MODE=false
python -m lightx2v.infer \
--model_cls wan2.1 \
--task t2v \
--model_path $model_path \
--config_json ${lightx2v_path}/configs/caching/wan_t2v_taylorseer.json \
--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" \
--save_video_path ${lightx2v_path}/save_results/output_lightx2v_wan_t2v_taylorseer.mp4
#!/bin/bash
# set path and first
lightx2v_path=
model_path=
# check section
if [ -z "${CUDA_VISIBLE_DEVICES}" ]; then
cuda_devices=0
echo "Warn: CUDA_VISIBLE_DEVICES is not set, using default 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
export ENABLE_GRAPH_MODE=false
python -m lightx2v.infer \
--model_cls wan2.1 \
--task t2v \
--model_path $model_path \
--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." \
--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
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