Instructions to use l3xx/faridbang with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use l3xx/faridbang 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("l3xx/faridbang") prompt = "F4RID4" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Add generated example
#2
by l3xx - opened
Generated example for model l3xx/faridbang.
Prompt: F4RID4,a Man infront the brandenburger tor holding a sign saying" FARID BANG"
l3xx changed pull request status to merged