Fix Invoke AI On NVIDIA 50 Series In Minutes!
Added 2025-05-05 16:57:01 +0000 UTCHey there, Friends! 🚀
Ready to get Invoke AI rolling on a Blackwell GPU? Below are all the commands and links I used in my latest video. Let’s roll! 🎬
🎯 1. Check Your CUDA Toolkit
Make sure you’ve got NVIDIA’s CUDA installed and up-to-date:
nvcc –version
📦 2. Meet UV Package Manager
A lightning-fast, modern package manager for your Python workflows. Check Version:
uv –version
🚀 3. Install UV
Pick your poison—pip or PowerShell. Your call
pip install uv
or, if you’re on Windows PowerShell:
powershell -ExecutionPolicy ByPass -c "irm https://astral.sh/uv/install.ps1 | iex"
🐍 4. Activate Your Virtual Environment
Keep things spick-and-span by isolating your project dependencies:
Activate Virtual Environment:
.\.venv\Scripts\activate
🔥 5. Get Torch (CUDA 12.8 Pre-Release)
We’re going bleeding-edge with nightly builds—strap in!
uv pip install --pre torch torchvision torchaudio --index-url https://download.pytorch.org/whl/nightly/cu128 --no-deps --force-reinstall
Happy creating, and see you in the next video! 🖥️💥
Comments
Hi, Invoke AI in the latest version supports the 50XX series GPU nativly. So maybe a fresh install will help you.
Chris Wenzl
2025-10-13 13:41:12 +0000 UTCim still getting the same error and im using automatic1111 please help if u have the time
Caffey Fiddle
2025-10-13 06:58:39 +0000 UTCHi, what exactly is you problem? Maybe i can help. (I am busy today but will respond asap)
Chris Wenzl
2025-09-09 16:40:26 +0000 UTCim still having trouble, im certain its operator error. im stuck and cant get help from anyone
DrakeForAmerica
2025-09-09 15:29:09 +0000 UTC
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