Instructions to use VitoCorleone72/Bella with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use VitoCorleone72/Bella 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,xey/sldr_flux_nsfw_v2-studio", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("VitoCorleone72/Bella") prompt = "-" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Bella

- Prompt
- -
Trigger words
You should use bella to trigger the image generation.
from diffusers import DiffusionPipeline
pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev") pipe.load_lora_weights("xey/sldr_flux_nsfw_v2-studio")
prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0]
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
- Downloads last month
- 5
Model tree for VitoCorleone72/Bella
Base model
black-forest-labs/FLUX.1-dev