Descriptions:
Direct 1080p rendering in MiniMax H3 taking forever or crashing your VRAM? 🎬 Stop direct rendering! In this tutorial, we dive into the ultimate Two-Stage 3D Latent Upscaling Workflow for MiniMax H3 in ComfyUI.
By rendering a low-res structural video first, upscaling in latent space with the 3D Latent Upscaler, and running a low-denoise second-pass refinement, you can generate crystal-clear, high-definition videos with incredible skin textures, complex motion (horse riding, cooking, skiing), and fine details in a fraction of the time!
🔥 What you’ll master in this tutorial:
• 🧠 The Two-Stage Logic: Low-res structure building ➔ 3D Latent Upscale ➔ High-res refinement.
• ⚙️ 3D vs. 2D Latent Upscaling: Why joint spatio-temporal processing keeps video consistency rock-solid.
• 🚀 LightX2V Turbo v1.1: Upgrading to the latest acceleration model for cleaner, sharper frames.
• ⚡ Comfy Kitchen Attention: Configuring the new Model Attention Backend for maximum GPU efficiency.
• 👁️ TaEH3 Real-Time Preview: Setting up taeh3 via KJNodes to preview video motion before full rendering.
• 🧪 Real-World Stress Tests: Subway close-up selfies, beach horseback riding, high-speed skiing, and low-angle stylized shots.
#runninghub #MiniMaxH3 #ComfyUI #AIVideo #LatentUpscale #3DLatentUpscaler #LightX2V #KitchenAttention #AIFilmmaking #GenerativeAI #RunningHub #AITutorial #MachineLearning #VideoOptimization #HighResAI #ImageToVideo
————————————————————————————————————————
resource
https://huggingface.co/LBH-123-AI/Minimax_h3_latent_Upscaler
https://github.com/LBH-123-AI/Comfyui_Minimax_h3_latent_Upscaler
https://huggingface.co/lightx2v/Minimax-h3-Turbo/tree/main
online workflow
1：minimax_h3_i2v_Latent_Upscaler
https://www.runninghub.ai/post/2091775632007442434/?inviteCode=kol02-rh021
2：minimax_h3_r2v_Latent_Upscaler
https://www.runninghub.ai/post/2091775612968312834/?inviteCode=kol02-rh021
https://github.com/amao2001/ganloss-latent-space/tree/main/workflow/2026-08-24%20minimax%20latent%20upscale
workflow and prompt engineering download：
https://github.com/amao2001/ganloss-latent-space/tree/main/workflow/2026-08-13%20ltx2.5
————————————————————————————————————————
