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:
- 599b3cd9d11081f9231ce75c9d246425e3931cf38c8cc7565af93c85d2b72c58
- Size of remote file:
- 1.25 MB
- SHA256:
- 152fbee988218b4f63b6401cdbd778a6ba2ba5ad5d781e785d5b756ecb4bf564
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