Flux Tools: The Depth Map Warning You Ignored

Get ready to easily install Flux Tools Depth Map in ComfyUi with my detailed and conceptual explanations for 2024! Master the process with our step-by-step guide. Complete detailed and In-depth, clear explanations that you've never heard anywhere else before about depth map for Flux Tools controlnet Download Links : Workflows V1 (Free) : https://whop.com/free-workflows/tutorial-videos-here-AvBtChPwggHiEE/app/lesson/flux-depth-map-new-version-5DjIK2ygCVPtVw6gr0NSDk/ Workflow V2 (Advanced) : https://whop.com/depth-map-flux-tools/ Special offer : -Workflows V2 (Advanced) + All other Exclusive workflows in my entire YouTube videos limited offer (Link1) : https://whop.com/jockerai/ -Workflows V2 (Advanced) + All other Exclusive workflows in my entire YouTube videos limited offer (Link 2) (for those who can not use Link1) : https://boosty.to/jockerai/posts/6150ae1a-ae17-4fcf-b0ac-90f7a07f68bb?share=post_link -Download models : 1. Download Depth map model : https://huggingface.co/black-forest-labs/FLUX.1-Depth-dev/tree/main Put it here : \ComfyUi New\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI\models\unet . Flux 8 step Turbo Lora : https://huggingface.co/alimama-creative/FLUX.1-Turbo-Alpha/tree/main Put it here : \ComfyUi New\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI\models\loras . Dual Clip : https://huggingface.co/zer0int/CLIP-GmP-ViT-L-14/tree/main Put them here : \ComfyUi New\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI\models\clip . Flux1 Dev-fp8 and Vae : https://huggingface.co/XLabs-AI/flux-dev-fp8/tree/main Put it here : \ComfyUi New\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI\models\unet . - Complete Guide for Beginners (watch videos below on by one) : 1-Install ComfyUi and Flux Locally : https://www.youtube.com/watch?v=txDFK-RcUq4&t=28s 2-Guide for Low-end systems for Flux : https://www.youtube.com/watch?v=GtPdEwVwtnM&t=906s 3-How to Create ai images with your own face : https://youtu.be/JeYmXYRYZ8k . - Comparing 4 different Depth-map Models: 1- vitg (Vision Transformer - Giant): This model uses a very large Vision Transformer architecture, offering high capability in capturing complex image details. However, it requires more computational resources. 2- vitl (Vision Transformer - Large): A larger model than the standard version, but smaller and faster than vitg. It provides good accuracy and is suitable for systems with moderate hardware. 3- vitb (Vision Transformer - Base): The base version of the Vision Transformer, which is smaller and faster. It is ideal for systems with limited resources. 4- vits (Vision Transformer - Small): The smallest version, offering the fastest performance but with potentially fewer details compared to larger models. Follow me on social media : https://whop.com/jockerai/ https://boosty.to/jockerai Youtube : https://www.youtube.com/@Jockerai Civitai : https://civitai.com/user/jockerai Telegram : t.me/jokerrai . . Don’t forget to like and subscribe for more tutorials about Ai!👇🏻 https://www.youtube.com/@Jockerai?sub_confirmation=1