Instructions to use AcademiaSD/MiniMax-H3-NF4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use AcademiaSD/MiniMax-H3-NF4 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("AcademiaSD/MiniMax-H3-NF4", 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
File size: 341 Bytes
b8c401f | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 | {
"format": "MiniMax-H3-NF4",
"version": 1,
"component_name": "text_encoder",
"component_type": "text_encoder",
"quant_type": "nf4",
"compute_dtype": "bfloat16",
"total_linear": 565,
"quantized": 565,
"unquantized": 0,
"incremental": true,
"other": 321,
"nonlinear_export": "5b_export_nonlinear_NF4.py"
} |