Instructions to use EarthnDusk/Lycoris_V3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use EarthnDusk/Lycoris_V3 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("fill-in-base-model", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("EarthnDusk/Lycoris_V3") 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:
- f6928b6d0a8aa94fdb0669f8361a821e0b20bb420cabe67a8a43082812ffb6cf
- Size of remote file:
- 30.4 MB
- SHA256:
- 43d8d3505a7bde30b500252623b47eb33c21a1eb944f8af22d47f737d0cc9584
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