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:
- 3f7cdaaab52e440396536724308a9c72914ded2a202470af4a4c206d01016781
- Size of remote file:
- 1.29 MB
- SHA256:
- e54fcea17f859649e8392f59ac6195c039a9b29b1d36a1a9b4853f78c92ca835
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