MiniMax H3: ComfyUI tutorial and local setup limits

This French tutorial introduces a video model presented as MiniMax H3, or Hailuo 3, and demonstrates text-to-video generation through ComfyUI Cloud. The presenter describes it as an open source model with 33 billion parameters, while warning that the full setup requires additional components and substantial local hardware.

The cloud walkthrough starts with the Text to Video template. It explains the resolution selector, aspect ratio and prompt field, then covers duration and noise settings. The presenter leaves the other parameters and save settings at their defaults, runs the workflow and shows the generated result. This demonstration uses hosted resources.

The second part introduces DiffSynth Studio and its quantized video models. The presenter explains the intended reduction in memory use, visits the project's GitHub and ModelScope pages, and outlines installation with git clone and pip install. He recommends creating a Python virtual environment between those steps and points to model-specific Python quickstarts.

The local attempt remains incomplete. On a Mac with 32 GB of RAM, he reports that the model downloads, but the computer becomes sluggish and generates no video. He discusses a CUDA route, but does not demonstrate a successful run on that hardware. Importing Torch or using CUDA does not establish Windows as a requirement. This is a cloud generation walkthrough and an introduction to DiffSynth Studio's setup, with a documented failed Mac attempt.