Скачать с ютуб Unlock FLUX Full Potential on Any GRAPHICS CARD (ComfyUI)! в хорошем качестве

Unlock FLUX Full Potential on Any GRAPHICS CARD (ComfyUI)!

📢 Ultimate Guide to AI Influencer Model on ComfyUI (for Begginers): 🎓 Start Learning Today: https://rebrand.ly/AI-Influencer-Mode... ------------------------------------------------------------------ ⬇️ Workflow & Resources: https://rebrand.ly/ehm8yi0 In this video, I'll show you how to unlock Flux's full potential on any graphics card using ComfyUI, whether you have a high-end GPU or a low VRAM, low GPU setup. We'll dive deep into selecting the right Flux model for your specific hardware, from the powerful Flux LoRA integration to tips on how to run Flux efficiently on low GPU setups. I'll guide you through optimizing your AI image generation workflow, ensuring smooth performance even with limited VRAM. If you're looking to enhance your Flux experience, learn about LoRA support, or run Flux on a low GPU, this tutorial has got you covered! ------------------------------------------------------------------ 1 - LOCAL MANUAL INSTALL: Download Comfyui here: https://github.com/comfyanonymous/Com... In models/unet folder, download one of the GGUF model: https://huggingface.co/city96/FLUX.1-... In models/clip folder, download one of the GGUF text encoder model: https://huggingface.co/city96/t5-v1_1... Download the New ViT-L-14-TEXT-detail-improved-hiT-GmP-TE-only-HF.safetensors text encoder: https://huggingface.co/zer0int/CLIP-G... In the models/vae folder, download the vae model: https://huggingface.co/black-forest-l... ------------------------------------------------------------------ ➜ Join our new Discord Server:   / discord   𝕏 : https://X.com/Aiconomist1 Ai Models:   / elara.ravenna     / bonnie.vargova   For Business: ➜ [email protected] ------------------------------------------------------------------ 0:00 - INTRO 0:50 - Original Flux Dev FP8 (Local) 2:53 - AI Digital Model Course 3:32 - Flux quantized models 4:45 - Flux Dev Q8 (16-24 GB VRAM) 7:04 - Flux Dev Q5KS (12-16 GB VRAM) 9:51 - Flux Dev Q4KS (4-12 GB VRAM) 11:41 - Outro