Instructions to use electricmindai/Riding_Motorcycle with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use electricmindai/Riding_Motorcycle 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("electricmindai/Riding_Motorcycle") prompt = "riding_motorcycle. A detailed action photograph. A man doing stunts on a motorcycle in a parking lot. The man is doing a wheelie on a custom dirt bike motorcycle. The front wheel of the motorcycle is in the air. The man is wearing a t-shirt and shorts. He is wearing reflective blue sunglasses.in motion, overexposed." image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Ctrl+K