Instructions to use strangerzonehf/Flux-Automotive-X2-LoRA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use strangerzonehf/Flux-Automotive-X2-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("strangerzonehf/Flux-Automotive-X2-LoRA") prompt = "Automotive X2, a sleek black and silver motorcycle is parked against a gray backdrop. The motorcycle has a black seat, a black headlight, and a black handlebar. The front wheel of the motorcycle is adorned with a yellow emblem, adding a pop of color to the otherwise monochromatic scene. The bikes exhaust pipes are visible, adding texture to the composition. The backdrop is a solid gray, creating a stark contrast to the motorcycle." image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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