Instructions to use prithivMLmods/Yellow-Laser-Flux-LoRA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use prithivMLmods/Yellow-Laser-Flux-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("prithivMLmods/Yellow-Laser-Flux-LoRA") prompt = "Yellow Lasers, Captured at eye-level on a low-angle perspective, a night-time shot captures a glowing figure of a person running on a wet concrete surface. The figure is adorned with a helmet, adorned with white dots, and a long line of light trails behind it, adding a touch of movement to the scene. The background is a deep black, creating a stark contrast to the figure." image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
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