Instructions to use funseshon/mowa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use funseshon/mowa with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("krea/Krea-2-Turbo,krea/Krea-2-Raw", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("funseshon/mowa") prompt = "TOK" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 4910981feadea356688f5ab3d85db82d891e2e38fe58f022123e686b88693b74
- Size of remote file:
- 195 MB
- SHA256:
- 441a03b520057bdbbb140fb2bf2f541f7d64614583c5cb667281b6d38d4c7cfd
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