Instructions to use BelalShehata/Bebo-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use BelalShehata/Bebo-lora 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("BelalShehata/Bebo-lora") prompt = "Photorealistic painting by Ashley wood in Van Gogh's signature style of Belal as a cool guy, visible thick brushstrokes, vibrant colors, bright natural lighting on his face. " image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Bebo lora

- Prompt
- Photorealistic painting by Ashley wood in Van Gogh's signature style of Belal as a cool guy, visible thick brushstrokes, vibrant colors, bright natural lighting on his face.
- Negative Prompt
- Blurry, blurred, deformed, deformities, low resolution, low quality
Trigger words
You should use Belal to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
- Downloads last month
- 9
Model tree for BelalShehata/Bebo-lora
Base model
black-forest-labs/FLUX.1-dev