Instructions to use Frogger40/mara with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Frogger40/mara 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-Raw", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Frogger40/mara") prompt = "A futuristic neon cityscape at midnight where a holographic m4r4kr34 floats above a rain-slicked street, reflecting vibrant cyan and magenta lights." image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee

- Xet hash:
- 2b03cf0d0c7b0f97ab2f760f17d625fd6919ec988541818dadb7965c194d3b1d
- Size of remote file:
- 1.35 MB
- SHA256:
- 85e46ba53ff439fdf9a33cde39a04de5eaccf0867e7ba615704127ea4b548e69
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