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:
- 9a2df3ccb17d9af741d62180ad90fedbf93fecac1ab3c3df69f1d075ded35bb9
- Size of remote file:
- 1.68 MB
- SHA256:
- bc05f464425c8a7989c69330cc1be98ae3070c2d35fbb1c5ff15aac94e3c24ac
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