Instructions to use Wadaka/Mojo_Style_LoRA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Wadaka/Mojo_Style_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("Wadaka/Mojo_Style_LoRA") prompt = "Mojo_style A middle-aged man with long, gray hair tied back in a low ponytail stands while holding a microphone in his right hand and gesturing with his left hand by raising a finger. He is wearing a dark, subtly shimmering shirt and has a name badge hanging around his neck with a green lanyard that features various inscriptions. His facial expression is serious and focused, suggesting he is giving a speech or presentation in mojo_style" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
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