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]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.
- Downloads last month
- 4