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:
- 6048be39503d1bfa2b469afe2539cb621126604fa405d2d2a0ffcfca4b1cf661
- Size of remote file:
- 195 MB
- SHA256:
- fa9128b41e9c4d14bf1a17d15791035261f6c1a13fbd6065bf865798631eb67b
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