Instructions to use bep40/Lisamy2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use bep40/Lisamy2 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/Lisamy2") prompt = "UHD beautiful scenery, full body view, long legs, Woman with dress, female DJ, dancing on the beach, Perfect Body, Perfect Eyes, Short Sexy Skirr, Soft White Skin, Beauty, theatre light" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Lisamy

- Prompt
- UHD beautiful scenery, full body view, long legs, Woman with dress, female DJ, dancing on the beach, Perfect Body, Perfect Eyes, Short Sexy Skirr, Soft White Skin, Beauty, theatre light
Trigger words
You should use Lisamy to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
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Model tree for bep40/Lisamy2
Base model
black-forest-labs/FLUX.1-dev