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:
- e1ddcd305a139c2b1538066f006dc1a11d9c96f75a4a299449db68bc1de4f590
- Size of remote file:
- 39.8 MB
- SHA256:
- 2899db5974ee372ce9cec826992ba5834a41d5f34dc5683272474580e89b6149
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