Instructions to use strangerzonehf/Flux-Automotive-X1-LoRA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use strangerzonehf/Flux-Automotive-X1-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", torch_dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("strangerzonehf/Flux-Automotive-X1-LoRA") prompt = "Automotive X1, Captured at eye-level on a dark night, a yellow jeep is parked on a dirt road. The jeeps front bumper is adorned with a black grille, and a yellow headlight. A green inflatable raft is on top of the jeep, with the word \"Tropor\" written in white on the side. The front of the vehicle is covered in dirt, and there are rocks and grass on the ground." image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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