MINIMAX H3 WITH LONG EXTEND VIDEOS AND INPAINTING
Hey everyone! I’ve just released a brand new video on MiniMax H3, and yeah you already know what this model can do by now and yes now it can do even MORE!
The new V3 workflow now has FAST generation workflows with latent upscaling, LONG video generation and VIDEO EXTEND as well as VIDEO INPAINTING! Once again, this model does not disappoint, and with this new updated workflow you can now do so much more!
THIS MODEL IS JUST FANTASTIC!
You can check out the new video right here: https://youtu.be/Y9Vga5CtEv8
The workflow: https://www.patreon.com/aitrepreneur/posts/168211913
The installer of course automates the entire install process for comfyUI and the models downloads!
LOCAL INSTALL!!! RECOMMENDED TO START FROM SCRATCH
Download the MINIMAX_H3_ULTRA-COMFYUI-MANAGER_AUTO_INSTALL-V3.bat
Run the bat file
Wait for the install to finish
The webui will launch, load the MINIMAX_H3_ULTRA_WORKFLOW-V3.json file and there you go😎
DON'T FORGET TO GO UPDATE COMFYUI BY GOING INSIDE THE UPDATE FOLDER AND RUNNING THE COMFYUI UPDATE BAT FILE THEN CHOOSING THE CORRECT LAUNCHER FOR YOUR GPU!!
TO INSTALL SAGEATTENTION IF YOU DON'T HAVE IT ALREADY:
put the OPTIONAL_SAGEATTENTION-INSTALLER.bat file inside the ComfyUI_windows_portable folder and run it, after the install it will create a special sageattention bat file launcher you can use to launch comfyui with sageattention enabled
IF YOU ALREADY HAVE COMFYUI INSTALLED USING A PREVIOUS INSTALLER:
Download the MINIMAX_H3_ULTRA-MODELS-NODES_INSTALL-V3.bat and place it in the ComfyUI_windows_portable\ComfyUI folder
Run the bat file
Wait for the install to finish
???
Profit 😎
IF YOU GET AN ERROR WHEN LAUNCHING COMFYUI AFTER USING THIS INSTALLER SAYING "AssertionError: Torch not compiled with CUDA enabled" it's ok don't panic.
Just go inside the python embedded folder, click on the folder path, type cmd press enter, this will bring the command prompt window and there type:
python.exe -m pip uninstall torch
python.exe -s -m pip install --upgrade torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu128
--->replace cu128 by your cuda version (if you don't know your cuda version just open a new cmd window and type nvcc --version it will then tell you at the end Cuda compilation tools, release 12.8, V12.8.93 or something different like 12.6, in that case just use cu126 instead of cu128)
IF YOU ARE USING RUNPOD:
The new template uses CUDA 13, supports newer GPUs like the RTX 50 series, comes with SageAttention preinstalled, automatically keeps ComfyUI updated and works with my new RunPod installers.
HOW TO USE THE NEW TEMPLATE
I made a quick video showing exactly how to deploy it and use the installers:
👉 https://youtu.be/9wlUXXyy9mE
Create an account if you haven't already: Runpod
Click on Pod (on the left side) then click deploy
When selecting your GPU on RunPod, make sure you click on Additional Filters → CUDA Versions → CUDA 13.0
Then choose a GPU, click here for the comfyui template (aitrepreneur/comfyui:3.0.1-cuda13)
Then click deploy, wait for everything to finish and then click on port 8888 and then drag and drop the MINIMAX_H3_ULTRA-AUTO_INSTALL-RUNPOD-NEW-V3.sh file on the left side of the UI then click on the "Terminal" icon on the right side on the UI
Copy and paste this line then press enter:
bash "MINIMAX_H3_ULTRA-AUTO_INSTALL-RUNPOD-NEW-V3.sh"
Wait for everything to be installed
Then go to the port 8188
Load the MINIMAX_H3_ULTRA_WORKFLOW-V3.json or MINIMAX_H3_ULTRA_TURBO_WORKFLOW-V3.json workflow and there you go😎
Also use the command:
tail -f /workspace/logs/comfyui.log
inside a terminal to get the real time logs
As always, supporting me on Patreon allows me to keep creating helpful resources like this for the community. Thank you for your support - now go have some fun😉!