Windows 原生部署 LingBot-World 1.3B：6GB 显存笔记本跑通 13 帧图生视频

https://github.com/nonpricklycactus/lingbot-world-v2

F:\AI\lingbot-world-v2     仓库与虚拟环境
F:\AI\models              权重与共享资源
F:\AI\runtime             下载缓存（uv / pip / 轮子）
F:\AI\lingbot-output      输出视频

nvidia-smi
Get-CimInstance Win32_OperatingSystem | Select-Object Caption,Version,OSArchitecture
Get-CimInstance Win32_ComputerSystem | Select-Object Manufacturer,Model,@{N='RAM_GiB';E={[math]::Round($_.TotalPhysicalMemory/1GB,2)}}
Get-Command nvidia-smi,git,ffmpeg,ffprobe | Select-Object Name,Source
Get-PSDrive -PSProvider FileSystem | Select-Object Name,Free

$Root = 'F:\AI\lingbot-world-v2'
git clone https://github.com/nonpricklycactus/lingbot-world-v2.git $Root
Set-Location $Root
git log --oneline -1
Select-String -Path wan\modules\attention.py -Pattern '_sdpa_varlen_attention' | Select-Object -First 1

Set-Location $Root
$env:UV_CACHE_DIR = 'F:\AI\runtime\uv-cache'
$env:PIP_CACHE_DIR = 'F:\AI\runtime\pip-cache'
$Py312 = (uv python find 3.12).Trim()
& $Py312 --version
$Venv = Join-Path $Root '.venv'
uv venv --python 3.12 --seed $Venv
$Py = Join-Path $Venv 'Scripts\python.exe'
& $Py --version
& $Py -m pip --version

$Whl = 'F:\AI\runtime\wheels'
New-Item -ItemType Directory -Force $Whl | Out-Null
aria2c -c -x16 -s16 -k1M --file-allocation=none -d $Whl -o 'torch-2.11.0+cu128-cp312-cp312-win_amd64.whl' 'https://download.pytorch.org/whl/cu128/torch-2.11.0%2Bcu128-cp312-cp312-win_amd64.whl'
& $Py -m pip install --progress-bar off "$Whl\torch-2.11.0+cu128-cp312-cp312-win_amd64.whl"
& $Py -m pip install --progress-bar off torchvision
& $Py -m pip install --progress-bar off -r deploy\requirements-windows.txt

& $Py -c "import torch; print('torch:', torch.__version__); print('cuda_available:', torch.cuda.is_available()); print('torch_cuda:', torch.version.cuda); print('gpu:', torch.cuda.get_device_name(0) if torch.cuda.is_available() else 'no CUDA')"

& $Py -m pip install 'huggingface_hub[cli]'
$Hf = Join-Path $Venv 'Scripts\hf.exe'
$Models = 'F:\AI\models'
& $Hf download robbyant/lingbot-world-v2-1.3b-causal-fast --revision 7e36a5f919f86cb4255cc9bfc30adb44963fbde1 --local-dir "$Models\downloads\lingbot-world-v2-1.3b-causal-fast"
& $Hf download robbyant/lingbot-world-v2-14b-causal-fast --revision 5c33dd40b213598c418fd25bff30fdbd23fd38a7 --local-dir "$Models\lingbot-world-v2-14b-assets" --include 'Wan2.1_VAE.pth' --include 'models_t5_umt5-xxl-enc-bf16.pth' --include 'google/umt5-xxl/*'

Set-Location $Root
$Dit = Join-Path $Models 'downloads\lingbot-world-v2-1.3b-causal-fast'
$Assets = Join-Path $Models 'lingbot-world-v2-14b-assets'
$Image = Join-Path $Root 'examples\03\image.jpg'
$ActionPath = Join-Path $Root 'examples\03'
$Out = 'F:\AI\lingbot-output\lingbot-13f.mp4'
New-Item -ItemType Directory -Force (Split-Path $Out -Parent) | Out-Null
$RunArgs = @('generate.py','--task','i2v-1.3B','--infer_mode','causal_fast','--size','480*832','--frame_num','13','--ckpt_dir',$Dit,'--assets_dir',$Assets,'--image',$Image,'--action_path',$ActionPath,'--t5_cpu','--convert_model_dtype','--offload_model','True','--local_attn_size','18','--sink_size','6','--base_seed','42','--prompt','A serene lakeside scene with a lone tree standing in calm water, surrounded by distant snow-capped mountains under a bright blue sky with drifting white clouds.','--save_file',$Out)
& $Py @RunArgs

Get-Item -LiteralPath $Out | Format-List FullName,Length,LastWriteTime
Get-FileHash -LiteralPath $Out -Algorithm SHA256
ffprobe.exe -v error -select_streams v:0 -show_entries stream=width,height,nb_frames,avg_frame_rate,duration -of json $Out