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 model_index.json from QuantFunc/Minimax-H3-Quantfunc-4bit: direct link, hf CLI and curl.
- Browser
- Download file 191 Bytes
-
https://huggingface.co/QuantFunc/Minimax-H3-Quantfunc-4bit/resolve/main/model_index.json
- Command line
-
hf download hf://QuantFunc/Minimax-H3-Quantfunc-4bit/model_index.json
-
curl -L -o model_index.json https://huggingface.co/QuantFunc/Minimax-H3-Quantfunc-4bit/resolve/main/model_index.json
191 Bytes
| { | |
| "_class_name": "MiniMaxH3Pipeline", | |
| "_diffusers_version": "0.30.0", | |
| "_comment": "Minimal index enabling HF Hub download statistics. Loading uses the QuantFunc toolkit; see README." | |
| } | |