Best open source Image to Video CogVideoX1.5-5B-I2V is pretty decent and optimized for low VRAM machines with high resolution - native resolution is 1360px and up to 10 seconds 161 frames - audios generated with new open source audio model

I get these errors. Any thoughts on why this happens? WARNING: Failed to find MSVC. WARNING: Failed to find Windows SDK. WARNING: Failed to find CUDA. A matching Triton is not available, some optimizations will not be enabled Traceback (most recent call last): File "D:\CogVid\CogVideo\venv\Lib\site-packages\xformers\__init__.py", line 57, in _is_triton_available import triton # noqa ^^^^^^^^^^^^^ File "D:\CogVid\CogVideo\venv\Lib\site-packages\triton\__init__.py", line 20, in from .runtime import ( File "D:\CogVid\CogVideo\venv\Lib\site-packages\triton\runtime\__init__.py", line 1, in from .autotuner import (Autotuner, Config, Heuristics, autotune, heuristics) File "D:\CogVid\CogVideo\venv\Lib\site-packages\triton\runtime\autotuner.py", line 9, in from ..testing import do_bench, do_bench_cudagraph File "D:\CogVid\CogVideo\venv\Lib\site-packages\triton\testing.py", line 7, in from . import language as tl File "D:\CogVid\CogVideo\venv\Lib\site-packages\triton\language\__init__.py", line 4, in from . import math File "D:\CogVid\CogVideo\venv\Lib\site-packages\triton\language\math.py", line 1, in from . import core File "D:\CogVid\CogVideo\venv\Lib\site-packages\triton\language\core.py", line 10, in from ..runtime.jit import jit File "D:\CogVid\CogVideo\venv\Lib\site-packages\triton\runtime\jit.py", line 12, in from ..runtime.driver import driver File "D:\CogVid\CogVideo\venv\Lib\site-packages\triton\runtime\driver.py", line 1, in from ..backends import backends File "D:\CogVid\CogVideo\venv\Lib\site-packages\triton\backends\__init__.py", line 50, in backends = _discover_backends() ^^^^^^^^^^^^^^^^^^^^ File "D:\CogVid\CogVideo\venv\Lib\site-packages\triton\backends\__init__.py", line 43, in _discover_backends compiler = _load_module(name, os.path.join(root, name, 'compiler.py')) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "D:\CogVid\CogVideo\venv\Lib\site-packages\triton\backends\__init__.py", line 12, in _load_module spec.loader.exec_module(module) File "D:\CogVid\CogVideo\venv\Lib\site-packages\triton\backends\amd\compiler.py", line 2, in from triton._C.libtriton import ir, passes, llvm, amd ImportError: DLL load failed while importing libtriton: Произошел сбой в программе инициализации библиотеки динамической компоновки (DLL). import error: DLL load failed while importing libtriton: Произошел сбой в программе инициализации библиотеки динамической компоновки (DLL). ИНФОРМАЦИЯ: не удается найти файлы по заданным шаблонам. * Running on local URL: http://127.0.0.1:7860 To create a public link, set `share=True` in `launch()`. Downloading shards: 100%|██████████████████████████████████████████████████████████████| 4/4 [00:00<00:00, 4001.24it/s] Loading checkpoint shards: 100%|█████████████████████████████████████████████████████████| 4/4 [00:08<00:00, 2.04s/it] Loading pipeline components...: 0%| | 0/5 [00:00

I like your one-click installs, but I've had a few instances where the venv isn't created correctly and the script keeps going and installs packages over my base installation anyway. Could you add something like the following after the "call .\venv\Scripts\activate.bat" line in the future? if %ERRORLEVEL% neq 0 ( echo Failed to create the virtual environment. pause exit /b ) I think a more robust one-click install would really enhance the quality. Thanks! (to be clear, this is in Windows_Install.bat)

I've been following your tutorials—thanks so much for all the guidance! Now, it's possible to train LoRA using Hunyuan-Video， and it works for both images and videos. Could you create a tutorial specifically on training Hunyuan-Video？