Instructions to use lloydchristmas1231/hallang with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use lloydchristmas1231/hallang with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("krea/Krea-2-Raw", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("lloydchristmas1231/hallang") prompt = "A futuristic cyberpunk city street drenched in neon rain, where a sleek hallang robot stands guard under a holographic billboard." image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Krea 2 LoRA โ lloydchristmas1231/hallang

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

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

- Prompt
- An epic underwater kingdom of bioluminescent coral reefs, with a majestic hallang sea-beast gliding through bubbles and light.
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).
Trigger
Use the token hallang to invoke the concept.
Samples
"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."
Use it with diffusers
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")
- Downloads last month
- 8
Model tree for lloydchristmas1231/hallang
Base model
krea/Krea-2-Raw

