Instructions to use papigia/mona with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use papigia/mona 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("papigia/mona") prompt = "TOK" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- bbdf9bac5432a43c0046a56ddaf17cc0e13ed8a6b74ae10e0c37dd70f4fadd96
- Size of remote file:
- 195 MB
- SHA256:
- 3f7d16e66a3fb41687686a475c8d3fb564e24614be5a9e5aaffe1c0bfd9cd32d
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