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
File size: 342 Bytes
c396041 | 1 2 3 4 5 6 7 8 9 10 11 12 | {
"timesteps": [
0.0,
0.03247630596160889,
0.11245149374008179,
0.25,
0.4672260880470276,
0.7679911255836487,
0.9990000128746033
],
"note": "AdaLN modulation of every block and of the output norm, precomputed for these timesteps from the BF16 weights; the AdaLN projections and the timestep MLP are not in this checkpoint."
} |