Instructions to use Perflow-Shuai/MiniMax-H3-3Step-LoRA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Perflow-Shuai/MiniMax-H3-3Step-LoRA with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Perflow-Shuai/MiniMax-H3-3Step-LoRA", 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 examples/river.mp4 from Perflow-Shuai/MiniMax-H3-3Step-LoRA: direct link, hf CLI and curl.
- Browser
- Download file 2.72 MB
-
https://huggingface.co/Perflow-Shuai/MiniMax-H3-3Step-LoRA/resolve/main/examples/river.mp4
- Command line
-
hf download hf://Perflow-Shuai/MiniMax-H3-3Step-LoRA/examples/river.mp4
-
curl -L -o river.mp4 https://huggingface.co/Perflow-Shuai/MiniMax-H3-3Step-LoRA/resolve/main/examples/river.mp4
2.72 MB
- Xet hash:
- 3210adec8c046e3ad528b33a00cf37c588e221a72d84790dbbb646d1829405eb
- Size of remote file:
- 2.72 MB
- SHA256:
- 762e2a5bd51f87f325799b0ea3f90d0de07af996893159c4824a1d898d1a74a2
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