Instructions to use beyonddata/witch_lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use beyonddata/witch_lora with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("runwayml/stable-diffusion-v1-5", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("beyonddata/witch_lora") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- e155471bfbb28e391cf07006f3958f0712f575056284b820914bf6bc731d4ccc
- Size of remote file:
- 3.29 MB
- SHA256:
- 62242f522fe642b0550882b6bcd8f70929bb5a2c46bc8d7ee06df21ab6aceda6
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