Instructions to use Arczisan/maomao with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Arczisan/maomao 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/maomao") prompt = "score_9, score_8_up, score_7_up, score_6_up, score_5_up, score_4_up, BREAK, source_anime," image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
MaoMao

- Prompt
- score_9, score_8_up, score_7_up, score_6_up, score_5_up, score_4_up, BREAK, source_anime,
- Negative Prompt
- signature, watermark, text, logo, hyperrealistic
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
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Model tree for Arczisan/maomao
Base model
xinsir/controlnet-union-sdxl-1.0