Text-to-Video
Diffusers
MiniMax H3
MiniMaxH3Pipeline
custom_minimax_h3
video-generation
image-to-video
audio-video-generation
quantized
4-bit precision
int4
svdquant
quantfunc
comfyui
Instructions to use QuantFunc/Minimax-H3-Quantfunc-4bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use QuantFunc/Minimax-H3-Quantfunc-4bit with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("QuantFunc/Minimax-H3-Quantfunc-4bit", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
Download config.json from QuantFunc/Minimax-H3-Quantfunc-4bit: direct link, hf CLI and curl.
- Browser
- Download file 437 Bytes
-
https://huggingface.co/QuantFunc/Minimax-H3-Quantfunc-4bit/resolve/main/config.json
- Command line
-
hf download hf://QuantFunc/Minimax-H3-Quantfunc-4bit/config.json
-
curl -L -o config.json https://huggingface.co/QuantFunc/Minimax-H3-Quantfunc-4bit/resolve/main/config.json
437 Bytes
| { | |
| "model_type": "custom_minimax_h3", | |
| "architectures": [ | |
| "MiniMaxH3Pipeline" | |
| ], | |
| "name_or_path": "QuantFunc/Minimax-H3-Quantfunc-4bit", | |
| "task": "text-to-video", | |
| "framework": "quantfunc", | |
| "license": "other", | |
| "description": "Pre-quantized MiniMax H3 (FL2VA/Ref2VA) video+audio model by QuantFunc", | |
| "_comment": "This is a minimal config to enable download stats on HF Hub. Not used for loading." | |
| } | |