Commit e08c4f90 authored by sandy's avatar sandy Committed by GitHub
Browse files

Merge branch 'main' into audio_r2v

parents 12bfd120 6d07a72e
#!/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
python -m lightx2v.common.apis.image_encoder \
--model_cls wan2.1 \
--task i2v \
--model_path $model_path \
--config_json ${lightx2v_path}/configs/deploy/wan_i2v.json \
--port 9003
#!/bin/bash
# set path and first
lightx2v_path=
model_path=
# check section
if [ -z "${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
python -m lightx2v.common.apis.prompt_enhancer \
--model_path $model_path \
--port 9001
#!/bin/bash
# set path and first
lightx2v_path=
model_path=
# check section
if [ -z "${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
python -m lightx2v.api_server \
--model_cls wan2.1 \
--task i2v \
--split \
--model_path $model_path \
--config_json ${lightx2v_path}/configs/deploy/wan_i2v.json \
--port 8000
#!/bin/bash
# set path and first
lightx2v_path=
model_path=
# check section
if [ -z "${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
python -m lightx2v.common.apis.text_encoder \
--model_cls wan2.1 \
--task i2v \
--model_path $model_path \
--config_json ${lightx2v_path}/configs/deploy/wan_i2v.json \
--port 9002
#!/bin/bash
# set path and first
lightx2v_path=
model_path=
# check section
if [ -z "${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
python -m lightx2v.common.apis.vae \
--model_cls wan2.1 \
--task i2v \
--model_path $model_path \
--config_json ${lightx2v_path}/configs/deploy/wan_i2v.json \
--port 9004
......@@ -6,7 +6,7 @@ model_path=
# check section
if [ -z "${CUDA_VISIBLE_DEVICES}" ]; then
cuda_devices=1,2,3,4
cuda_devices=0,1,2,3
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
......@@ -32,7 +32,7 @@ torchrun --nproc_per_node=4 -m lightx2v.infer \
--model_cls wan2.1 \
--task i2v \
--model_path $model_path \
--config_json ${lightx2v_path}/configs/wan/wan_i2v_dist.json \
--config_json ${lightx2v_path}/configs/dist_infer/wan_i2v_dist_ring.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 ${lightx2v_path}/assets/inputs/imgs/img_0.jpg \
......
......@@ -6,7 +6,7 @@ model_path=
# check section
if [ -z "${CUDA_VISIBLE_DEVICES}" ]; then
cuda_devices=0
cuda_devices=0,1,2,3
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
......@@ -28,12 +28,12 @@ export DTYPE=BF16
export ENABLE_PROFILING_DEBUG=true
export ENABLE_GRAPH_MODE=false
python -m lightx2v.infer \
torchrun --nproc_per_node=4 -m lightx2v.infer \
--model_cls wan2.1 \
--task t2v \
--task i2v \
--model_path $model_path \
--config_json ${lightx2v_path}/configs/caching/custom/wan_i2v_custom_480p.json \
--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_0.jpg \
--config_json ${lightx2v_path}/configs/dist_infer/wan_i2v_dist_ulysses.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" \
--save_video_path ${lightx2v_path}/save_results/output_lightx2v_wan_i2v_custom.mp4
--image_path ${lightx2v_path}/assets/inputs/imgs/img_0.jpg \
--save_video_path ${lightx2v_path}/save_results/output_lightx2v_wan_i2v.mp4
......@@ -6,7 +6,7 @@ model_path=
# check section
if [ -z "${CUDA_VISIBLE_DEVICES}" ]; then
cuda_devices=1,2,3,4
cuda_devices=0,1,2,3
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
......@@ -32,7 +32,7 @@ torchrun --nproc_per_node=4 -m lightx2v.infer \
--model_cls wan2.1 \
--task t2v \
--model_path $model_path \
--config_json ${lightx2v_path}/configs/wan/wan_t2v_dist.json \
--config_json ${lightx2v_path}/configs/dist_infer/wan_t2v_dist_ring.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 ${lightx2v_path}/save_results/output_lightx2v_wan_t2v.mp4
......@@ -6,7 +6,7 @@ model_path=
# check section
if [ -z "${CUDA_VISIBLE_DEVICES}" ]; then
cuda_devices=0
cuda_devices=0,1,2,3
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
......@@ -28,11 +28,11 @@ export DTYPE=BF16
export ENABLE_PROFILING_DEBUG=true
export ENABLE_GRAPH_MODE=false
python -m lightx2v.infer \
torchrun --nproc_per_node=4 -m lightx2v.infer \
--model_cls wan2.1 \
--task t2v \
--model_path $model_path \
--config_json ${lightx2v_path}/configs/caching/taylorseer/wan_t2v_taylorseer.json \
--config_json ${lightx2v_path}/configs/dist_infer/wan_t2v_dist_ulysses.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_taylor.mp4
--save_video_path ${lightx2v_path}/save_results/output_lightx2v_wan_t2v.mp4
#!/bin/bash
# set path and first
lightx2v_path=
model_path=
# check section
if [ -z "${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 hunyuan \
--task i2v \
--model_path $model_path \
--config_json ${lightx2v_path}/configs/hunyuan/hunyuan_i2v.json \
--prompt "An Asian man with short hair in black tactical uniform and white clothes waves a firework stick." \
--image_path ${lightx2v_path}/assets/inputs/imgs/img_1.jpg \
--save_video_path ${lightx2v_path}/save_results/output_lightx2v_hy_i2v.mp4
#!/bin/bash
# set path and first
lightx2v_path=
model_path=
# check section
if [ -z "${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 hunyuan \
--task t2v \
--model_path $model_path \
--config_json ${lightx2v_path}/configs/hunyuan/hunyuan_t2v.json \
--prompt "A cat walks on the grass, realistic style." \
--save_video_path ${lightx2v_path}/save_results/output_lightx2v_hy_t2v.mp4
#!/bin/bash
# set path and first
lightx2v_path=
model_path=
# check section
if [ -z "${CUDA_VISIBLE_DEVICES}" ]; then
cuda_devices=0,1,2,3
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
torchrun --nproc_per_node=4 ${lightx2v_path}/lightx2v/infer.py \
--model_cls hunyuan \
--task t2v \
--model_path $model_path \
--config_json ${lightx2v_path}/configs/hunyuan/hunyuan_t2v_dist_ulysses.json \
--prompt "A cat walks on the grass, realistic style." \
--save_video_path ${lightx2v_path}/save_results/output_lightx2v_hunyuan_t2v_dist_ulysses.mp4
torchrun --nproc_per_node=4 ${lightx2v_path}/lightx2v/infer.py \
--model_cls hunyuan \
--task t2v \
--model_path $model_path \
--config_json ${lightx2v_path}/configs/hunyuan/hunyuan_t2v_dist_ring.json \
--prompt "A cat walks on the grass, realistic style." \
--save_video_path ${lightx2v_path}/save_results/output_lightx2v_hunyuan_t2v_dist_ring.mp4
# Model Quantization
The config files for model quantization are available [here](https://github.com/ModelTC/lightx2v/tree/main/configs/quantization)
By specifying --config_json to the specific config file, you can test quantization inference.
Please refer our model quantization doc:
[English doc: Model Quantization](https://lightx2v-en.readthedocs.io/en/latest/method_tutorials/quantization.html)
[中文文档: 模型量化](https://lightx2v-zhcn.readthedocs.io/zh-cn/latest/method_tutorials/quantization.html)
......@@ -24,16 +24,17 @@ fi
export TOKENIZERS_PARALLELISM=false
export PYTHONPATH=${lightx2v_path}:$PYTHONPATH
export DTYPE=BF16
export ENABLE_PROFILING_DEBUG=true
export ENABLE_GRAPH_MODE=false
export DTYPE=BF16 # remove this can get high quality video
python -m lightx2v.infer \
--model_cls wan2.1 \
--task t2v \
--task i2v \
--model_path $model_path \
--config_json ${lightx2v_path}/configs/caching/adacache/wan_i2v_ada.json \
--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_0.jpg \
--config_json ${lightx2v_path}/configs/quantization/wan_i2v.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" \
--save_video_path ${lightx2v_path}/save_results/output_lightx2v_wan_i2v_ada.mp4
--image_path ${lightx2v_path}/assets/inputs/imgs/img_0.jpg \
--save_video_path ${lightx2v_path}/save_results/output_lightx2v_wan_i2v.mp4
## TODO
#### Server
#### prompt_enhancer
#### export ENABLE_GRAPH_MODE=false
#### export DTYPE=BF16
Markdown is supported
0% or .
You are about to add 0 people to the discussion. Proceed with caution.
Finish editing this message first!
Please register or to comment