Instructions to use frensies/avavossmmh3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use frensies/avavossmmh3 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("pmczip/MiniMaxH3_LoRAs", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("frensies/avavossmmh3") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
avaminimaxh3

- Prompt
- -
Model description
character lora
Trigger words
You should use avav00ss to trigger the image generation.
Download model
Download them in the Files & versions tab.
- Downloads last month
- 8