Instructions to use SilverWulf212/mrtlarcana with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use SilverWulf212/mrtlarcana 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("SilverWulf212/mrtlarcana") prompt = "mrtlarcana cinematic tarot style, the Tower struck by lightning, a tall stone tower splitting as two figures fall, stormy night sky, full-body wide shot" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 32a1fba8c560cc18943187e80e818396d6dc3110c7d4bf26d743416c23998508
- Size of remote file:
- 192 MB
- SHA256:
- e0c295695224e491535335568f72da5283bcc5c7e418e2061620a7c5b478916b
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