Instructions to use vladmandic/MiniMax-H3-Turbo-LoRA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use vladmandic/MiniMax-H3-Turbo-LoRA with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline from diffusers.utils import export_to_video # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("MiniMaxAI/MiniMax-H3", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("vladmandic/MiniMax-H3-Turbo-LoRA") prompt = "A man with short gray hair plays a red electric guitar." output = pipe(prompt=prompt).frames[0] export_to_video(output, "output.mp4") - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
MiniMax H3 Turbo LoRAs
Test Grids
All the right-and-wrong combos...
Created using SD.Next
Original Sources
- Downloads last month
- 287
Model tree for vladmandic/MiniMax-H3-Turbo-LoRA
Base model
MiniMaxAI/MiniMax-H3




