Text-to-Image
Diffusers
Safetensors
MiniMax H3
English
orbitquant
w4a8
4-bit precision
gptq
quantized
image-editing
Instructions to use WaveCut/MiniMax-H3-Image-OrbitQuant-W4A8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use WaveCut/MiniMax-H3-Image-OrbitQuant-W4A8 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("WaveCut/MiniMax-H3-Image-OrbitQuant-W4A8", 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
- Local Apps Settings
- Draw Things
- DiffusionBee
Download text_encoder/quantization-report.json from WaveCut/MiniMax-H3-Image-OrbitQuant-W4A8: direct link, hf CLI and curl.
- Browser
- Download file 25.2 kB
-
https://huggingface.co/WaveCut/MiniMax-H3-Image-OrbitQuant-W4A8/resolve/main/text_encoder/quantization-report.json
- Command line
-
hf download hf://WaveCut/MiniMax-H3-Image-OrbitQuant-W4A8/text_encoder/quantization-report.json
-
curl -L -o quantization-report.json https://huggingface.co/WaveCut/MiniMax-H3-Image-OrbitQuant-W4A8/resolve/main/text_encoder/quantization-report.json
25.2 kB
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