5070 ti | 5080 | 5090 | Comfyui Manual Install No Kernel Error Fix Method 2 | RTX Blackwell GPU

2nd method to install Comfyui if you're using the RTX 50 series (Blackwell) GPUs like the RTX 5070, 5070 ti, 5080 and 5090, where Comfyui tend to give a common CLIPTextEncode CUDA error no kernel image and unable to generate anything.

This method is much harder then the prepackage method, as it requires you to manually install Python and GIT, but it allows you to learn more about what's going on under the hood of Comfyui, it might be worth your time to learn it if you know you're gonna deal with more errors as you try more stuff like beyond Stable Diffusion, like Flux / Wan 2.1 / Hunyuan and other generative models.

In summary this video shows you:
1. How to install Python 3.12
2. How to install GIT
3. Create a virtual environment & activate it
4. Install Pytorch 2.7 for CUDA 12.8 manually
5. Install other requirements
6. Create a batch file for easy starting of Comfyui

Important links are below after you've watched the video:

Install Comfyui On RTX 50 Series Blackwell Using Pre-Package Method (Easiest)
https://www.youtube.com/watch?v=7JJFJr8doPw&t=189s

Python 3.12
https://www.python.org/downloads/release/python-3120/

Git
https://git-scm.com/

Comfyui
https://github.com/comfyanonymous/ComfyUI

Discussions on 50 series GPUs
https://github.com/comfyanonymous/ComfyUI/discussions/6643

Download latest Nvidia drivers
https://www.nvidia.com/en-us/drivers/

Download CUDA Toolkit 12.8
https://developer.nvidia.com/cuda-downloads

Download checkpoints
https://civitai.com/

P.S: I'm not an expert and I'm not trained in all these Python stuff, I just research with trial and error, so most likely I'm unable to answer most of your questions unless I encountered certain errors myself, so please backup your data before trying anything new or risky =)
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