MiniMax H3 Singularity Brings Joint Video and Audio to 12 GB GPUs
A community quant of the Singularity fine-tune drops MiniMax H3 video generation down to 12GB consumer GPUs through ComfyUI.
- GGUF quants (Q3 to Q8) of the Singularity fine-tune of MiniMax H3 for ComfyUI
- Runs on 12GB consumer GPUs via Q4_K_M; Q8 is near-lossless at 21.6GB
- Base model is a 33B joint audio-video diffusion transformer with native stereo sound
- Singularity targets HDR clarity, face restoration, cleaner skin, and stronger action motion
- Supports T2V, I2V, Ref2V, and V2V; pairs with a 4-step turbo LoRA for fast inference
- License excludes US, UK, EU, and South Korea from commercial use without separate agreement
MiniMax H3 Singularity gets GGUF builds for local ComfyUI workflows
New GGUF quantizations make MiniMax H3 Singularity practical on a wider range of local hardware. The GGUF repository provides seven files spanning Q3 through Q8, including an 11.6 GB Q4 build aimed at 12 GB GPUs. Running the complete pipeline at that capacity will usually require CPU offloading and sufficient system memory.
MiniMax H3 generates video and synchronized stereo audio from text, images, reference video, or existing footage. According to its documentation, the model supports clips up to 15 seconds at 2K resolution. A shared 33B transformer processes text, conditioning data, audio, and video as one token sequence, while separate input projections, modality tags, and output heads handle the differences between media types.
Singularity sharpens H3’s output
WarmBloodAban’s Singularity checkpoint combines and prunes several MiniMax H3 variants to improve HDR clarity, distant faces, skin texture, action motion, and visual effects. These changes target common failure points in generated video without requiring a different prompting format or ComfyUI pipeline.
The author merged the H3 reference, FL, and b25-49 checkpoints, then fine-tuned and pruned the result over three days. The resulting 21 GB INT8 safetensors file supports H3’s four generation modes:
- Text to video
- Image to video
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