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:
- 8fda0a14c9299777ac24454eeb4ce2e67660698c540bae2663664f0ce0bf0a5a
- Size of remote file:
- 1.38 MB
- SHA256:
- b1d412f3ab8387421330a1dabd1ddc6e80fb260737345eaff7d4184591e7f6da
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