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:
- 18d24d2bf8b7c9765505d612479653f64a087df8b18c7f65f7895ffd25cebb79
- Size of remote file:
- 195 MB
- SHA256:
- 9eb0e10ec28ae780cb8c5226c99aadbc7eb608d27cdfd35469dd93a82ef9b1cd
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