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:
- 8e2518f3ee2e6325b13a93fbed3a79ad446dd6dbd6f5b6fe9cbb05e14dda5b51
- Size of remote file:
- 46.6 MB
- SHA256:
- a04dc98b3015c143b6aacc0596dd98fe4fa8815bbbde605d8d7a8571a91c8f0b
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