Instructions to use Arczisan/maomao3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Arczisan/maomao3 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("xinsir/controlnet-union-sdxl-1.0", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Arczisan/maomao3") prompt = "UNICODE\u0000\u00001\u0000g\u0000i\u0000r\u0000l\u0000,\u0000 \u0000m\u0000a\u0000o\u0000m\u0000a\u0000o\u0000,\u0000 \u0000<\u0000l\u0000o\u0000r\u0000a\u0000:\u0000m\u0000a\u0000o\u0000m\u0000a\u0000o\u0000_\u0000p\u0000o\u0000n\u0000y\u0000x\u0000l\u0000_\u0000v\u00001\u0000:\u00001\u0000>\u0000,\u0000 \u0000s\u0000o\u0000l\u0000o\u0000,\u0000 \u0000g\u0000r\u0000e\u0000e\u0000n\u0000 \u0000h\u0000a\u0000i\u0000r\u0000,\u0000 \u0000l\u0000o\u0000n\u0000g\u0000 \u0000h\u0000a\u0000i\u0000r\u0000,\u0000 \u0000b\u0000l\u0000u\u0000e\u0000 \u0000e\u0000y\u0000e\u0000s\u0000,\u0000 \u0000B\u0000R\u0000E\u0000A\u0000K\u0000" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
MaoMao3

- Prompt
- UNICODE1girl, maomao, <lora:maomao_ponyxl_v1:1>, solo, green hair, long hair, blue eyes, BREAK
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
- Downloads last month
- 7