Instructions to use JohanP/leonmarchand3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use JohanP/leonmarchand3 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("JohanP/leonmarchand3") prompt = "Portrait of LNMRCHND in suit. Front view, medium shot, cinematic, 4k" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
LoRas For Léon Marchand. Use LNMRCHND for keyword
- Downloads last month
- 2
Model tree for JohanP/leonmarchand3
Base model
black-forest-labs/FLUX.1-dev