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

- Prompt
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- Prompt
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Model description
Trained on hundreds of diverse styles of images, like art, anime, webtoon, and other styles.
This lora is agressive, so set strength to 0.2 to 0.4
Download model
Download them in the Files & versions tab.
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Model tree for bunnycore/MOSSArt
Base model
OpenMOSS-Team/MOSS-Image-Base Finetuned
OpenMOSS-Team/MOSS-Image-SFT