Instructions to use anshumansinghr/HautlenceKubera with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use anshumansinghr/HautlenceKubera with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("fal/FLUX.2-dev-Turbo", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("anshumansinghr/HautlenceKubera") prompt = "Light: single hard directional light source; window-like light beams cutting across the scene; visible light pools and hotspots with soft falloff; pronounced light-to-dark gradient across the frame; gentle halation and bloom on the brightest highlights. Shadow & caustics: deliberate shadow play as a compositional element; long soft-edged shadows; diagonal light slashes; subtle caustic streaks and prism artifacts; shadows deep but with retained detail." image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
HautlenceKubera_Flux2

- Prompt
- Light: single hard directional light source; window-like light beams cutting across the scene; visible light pools and hotspots with soft falloff; pronounced light-to-dark gradient across the frame; gentle halation and bloom on the brightest highlights. Shadow & caustics: deliberate shadow play as a compositional element; long soft-edged shadows; diagonal light slashes; subtle caustic streaks and prism artifacts; shadows deep but with retained detail.
Trigger words
You should use HautlenceKubera to trigger the image generation.
Download model
Download them in the Files & versions tab.
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