In this video, I'll walk you through how to install SD Forge and integrate it with the FLUX text-to-image model, a powerful tool for generating text-to-image AI art. The tutorial covers setting up a Python virtual environment, cloning the SD Forge repository from GitHub, installing necessary dependencies, and integrating the FLUX model for optimal performance on compatible NVIDIA GPUs. By the end, you'll be generating stunning AI visuals effortlessly. Perfect for artists, developers, and anyone looking to explore AI creativity!
Git and Python Install Guide: • How to Install Git and Python on Windows
Install/Update NVIDIA Driver and CUDA Toolkit: • How to Install & Update NVIDIA Driver...
Support my work on Patreon: / auroraintech
🔗SD Forge: https://github.com/lllyasviel/stable-...
🔗Pytorch CUDA: https://pytorch.org/get-started/locally/
⬇️Torch fix Win Error 126 DLL File: https://huggingface.co/datasets/auror...
🔥FLUX Model:
⬇️ FP16 and other quants version: https://huggingface.co/lllyasviel/FLU...
⬇️ FP8 version: https://huggingface.co/lllyasviel/flu...
⬇️ NF4 version: https://huggingface.co/lllyasviel/flu...
🔥FLUX Text Encoders: https://huggingface.co/lllyasviel/flu...
🔥FLUX VAE: https://huggingface.co/auroraintech/f...
TIMESTAMPS
0:00 Introduction & Prerequisites (Git, Python, CUDA)
0:59 Creating a Python Virtual Environment
1:27 Cloning SD Forge from GitHub
1:53 Installing Dependencies for SD Forge
2:38 Reinstalling Torch with CUDA Support
3:06 Troubleshooting WinError 126 (DLL Fix)
3:38 Downloading and Setting Up the FLUX Model
4:59 Launching SD Forge with FLUX
5:55 Sample Image Generation (Settings Overview)
7:23 Conclusion
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