Instructions to use Shuhdjdkke/TurboM3lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Shuhdjdkke/TurboM3lora with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("neph1/1980s_horror_movies_lora_minimax_h3_v2", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Shuhdjdkke/TurboM3lora") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Downloads last month
- 25
Model tree for Shuhdjdkke/TurboM3lora
Base model
MiniMaxAI/MiniMax-H3