Instructions to use indiakingarun/arunuk_v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use indiakingarun/arunuk_v2 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("indiakingarun/arunuk_v2") prompt = "A mystical fantasy poster titled “Arun of the Wildwood,” showing ARUNUK as an elven archer in a magical forest. He wears a leaf-embroidered tunic and carries a glowing bow, poised for battle amid glowing mushrooms and ancient trees. A soft blue mist swirls around, with distant glowing creatures. His elegant yet fierce expression is perfectly captured, with high-detail ARUNUK features—smooth skin texture, structured cheekbones, long forehead, and gentle eyes. The lighting has a soft magical glow. The title “ARUN OF THE WILDWOOD” appears in fantasy serif font made of vines and sparkles." image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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