Instructions to use lynaNSFW/minimaxH3_Collection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use lynaNSFW/minimaxH3_Collection 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("lynaNSFW/minimaxH3_Collection") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
metadata
tags:
- text-to-image
- lora
- diffusers
- template:diffusion-lora
widget:
- output:
url: images/undefined_image (1).png
text: '-'
base_model: pmczip/MiniMaxH3_LoRAs
instance_prompt: null
minimaxH3_Collection
.png)
- Prompt
- -
Model description
a Collection of daily new or changing Minimax H3 Loras...Can't keep up testing haha -
all Loras are from someone and are highly appreciated
https://civitai.red/search/models?baseModel=MiniMax%20H3&sortBy=models_v9
CS Model: https://civitai.red/models/2857340/hmcumshot-cumshot-lora-for-minimax-h3?modelVersionId=3238531 / Trigger: cumshot
Download model
Download them in the Files & versions tab.