Instructions to use bep40/Lisamyv5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use bep40/Lisamyv5 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("bep40/Lisamyv5") prompt = "Lisamy" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 1320fd6830cff081dc00f61cf014b7639e7c92ebdb6c423353cc6c3ab2cb4ca6
- Size of remote file:
- 39.8 MB
- SHA256:
- 21db3667f58381aa36c42f574ffa84e5e76d0d72885dcd1df1531e81ec7e2324
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