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
Commit History
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Restore full H3 transformer checkpoint with direct inference and video examples
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Keep standalone H3 LoRA checkpoint and matching video examples
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Add ready-to-use merged H3 transformer and video examples
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