blazing fast, only 1 minute 10 seconds generating 5 second clip in 0.4 mp resolution. NEW using Ultimate upscale 1.0mp resolution or 768p got 3 minutes in my rtx 4060ti 16gb UPDATE!!!: i ditch sage attention and use Comfy kitchen + sol attention instead, but i'm still use kjnodes. here is the link to install custom nodes: kjnodes: <a target="_blank" rel="ugc" href="https://github.com/kijai/ComfyUI-KJNodes">https://github.com/kijai/ComfyUI-KJNodes</a> Comfy Kitchen: <a target="_blank" rel="ugc" href="https://github.com/Comfy-Org/comfy-kitchen">https://github.com/Comfy-Org/comfy-kitchen</a> Sol attention Triton: <a target="_blank" rel="ugc" href="https://github.com/kijai/ComfyUI-SolAttn_triton">https://github.com/kijai/ComfyUI-SolAttn_triton</a> use this model from huggingface: <a target="_blank" rel="ugc" href="https://huggingface.co/MATLOWAI/minimax-h3-fused-turbo-int8-convrot/tree/main/diffusion_models">https://huggingface.co/MATLOWAI/minimax-h3-fused-turbo-int8-convrot/tree/main/diffusion_models</a> if you like my work and want to support me, you can donate me to my ko-fi: <a target="_blank" rel="ugc" href="https://ko-fi.com/megaaziib">https://ko-fi.com/megaaziib</a> get minimax ultimate upscale: <a target="_blank" rel="ugc" href="https://github.com/bbaudio-2025/Comfyui-MMH3-UltimateUpscale">https://github.com/bbaudio-2025/Comfyui-MMH3-UltimateUpscale</a> for upscale model, you need to set the second resolution either 0.6, 0.7- 1.0. megapixel. if you get oom or generating too long, try to decrease resolution to 0.9 or 0.8 mp. change manualsigmas according your preference steps: 4 steps:0.9999166, 0.9728326, 0.9230769, 0.8, 0.06 steps:0.9999166, 0.9868421, 0.9638554, 0.9230769, 0.8695652, 0.8, 0.08 steps:1.0, 0.9882352941, 0.9729729730, 0.9523809524, 0.9230769231, 0.8780487805, 0.8, 0.6315789474, 0.0

Fast MiniMax H3

fastMinimaxH3_refToVideoUPSCALED.json

Ref To Video UPSCALED

First Last frame UPSCALED

Image To Video UPSCALED

Text To Video UPSCALED

Reference To Video

Image To Video

Text To Video

v1.0

Files with SHA256: de26b38bc6bfd853a0630b77ac72a4ac37edfd61c1e74a7d0f7274b7b3b3772c