Instructions to use Comfy-Org/MiniMax-H3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusion Single File
How to use Comfy-Org/MiniMax-H3 with Diffusion Single File:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
MiniMax H3 video vae int8 convrot and 8-step Turbo LoRA
More testing with MiniMax H3. This time, I'm using the fresh, new experimental VAE from Kijai: minimax_h3_video_vae_int8_convrot.safetensors.
I also used the Turbo custom node by larryvrh ComfyUI-MiniMax-H3-Turbo. I did a quick test with the 8-step Turbo LoRA and the new VAE, and the results are better in terms of speed with slightly improved quality.
Everything was tested on an RTX 3060 12GB. Rendering a 5-second video at 864x480 resolution with Turbo at 8 steps took 4.5 minutes.
It's not as fast as LTX, but it's doable. This is just the first test, and I need more time to benchmark everything properly. This includes testing the audio and pushing Minimax H3 with the custom prompts I use as benchmarks for every AI video model.
Cheers!
Seems interesting, have the turbo node degraded the quality?
why dont you use the int4 version of the qwen3vl? I am also on rtx 3060 12gb + 32 gb ram and am using that.
