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lloydchristmas1231/hallang
hallang is a text-to-image model from lloydchristmas1231. Use it when you need an image from a text prompt. It is set up for diffusers. The card lists the license as apache-2.0.
Downloads · 30 days
19
42% of all-time downloads
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.safetensors576 MB · 59%
From the Hugging Face model README
A DreamBooth-LoRA for Krea 2, trained on Krea 2 RAW and shown on Krea 2 Turbo. The samples below were generated with this LoRA on Turbo (8 steps).
Use the token hallang to invoke the concept.

"A futuristic cyberpunk city street drenched in neon rain, where a sleek hallang robot stands guard under a holographic billboard."

"A serene, sun-drenched Tuscan vineyard during golden hour, featuring a rustic hallang sculpture carved from ancient olive wood."

"An epic underwater kingdom of bioluminescent coral reefs, with a majestic hallang sea-beast gliding through bubbles and light."
import torch
from diffusers import Krea2Pipeline
pipe = Krea2Pipeline.from_pretrained("krea/Krea-2-Turbo", torch_dtype=torch.bfloat16).to("cuda")
pipe.load_lora_weights("lloydchristmas1231/hallang")
image = pipe("A futuristic cyberpunk city street drenched in neon rain, where a sleek hallang robot stands guard under a holographic billboard.", num_inference_steps=8, guidance_scale=0.0).images[0]
image.save("output.png")