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
Add generated example
#7
by indiakingarun - opened
Generated example for model indiakingarun/arunuk_v2.
Prompt: A suspenseful tech thriller movie poster titled “Code Cipher: Arun,” featuring ARUNUN as a mastermind hacker. ARUNUN is shown in a dim room lit by glowing monitors filled with code, with green and blue lighting casting dramatic shadows. He wears a hoodie, looking over his shoulder with sharp, focused eyes, reflecting intelligence and secrecy. His facial structure is sharply visible—eyes, lips, ears, and beard consistent with the ARUNUN LoRA model. Floating 3D holograms of data and neural networks enhance the scene. The title “CODE CIPHER: ARUN” appears in glitchy, pixelated typography with a dark tech vibe.
indiakingarun changed pull request status to merged