A Quick Guide to Image and Video Generation with Minimax-H3 on Google Colab
A 2k image generated using Minimax-H3 MiniMax-H3 is an open-weight omni-modal model capable of generating Images and videos coupled with native, synchronized audio in a single pass. Below is a guide on how to configure, load, and execute the Minimax-H3 notebook across its different generation modes. Environment Setup The first cell of the notebook prepares the runtime environment, downloads model checkpoints, and installs custom node extensions required for image and video generation. Input your Hugging Face ( hf_token ) or Civitai ( civitai_token ) API keys into the designated form fields to authenticate downloads from gated repositories. Review pre-filled links for diffusion models ( img_2_video_model and ref_2_video_model ), text encoders, and Video/Audio VAEs ( minimax_h3_video_vae and minimax_h3_audio_vae ). Check download_turbo_lora to enable distilled low-step inference (4–8 steps). To apply custom stylistic or identity LoRAs, toggle download_lora_1 through 5 to True...