Instructions to use Lonuhbow/beth3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Lonuhbow/beth3 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("Lonuhbow/beth3") prompt = "A cinematic, wide shot of Beth3 as a futuristic cybernetic explorer standing on the neon-lit crystalline plains of a distant purple planet." image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Krea 2 LoRA โ Lonuhbow/beth3

- Prompt
- A cinematic, wide shot of Beth3 as a futuristic cybernetic explorer standing on the neon-lit crystalline plains of a distant purple planet.

- Prompt
- A cozy, sun-drenched oil painting of Beth3 reading an ancient leather book in a dusty Victorian library filled with floating candles.

- Prompt
- A high-fashion editorial photo of Beth3 wearing an avant-garde gown made of liquid gold, posing amidst a surreal desert of white sand.
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 Beth3 to invoke the concept.
Samples
"A cinematic, wide shot of Beth3 as a futuristic cybernetic explorer standing on the neon-lit crystalline plains of a distant purple planet."
"A cozy, sun-drenched oil painting of Beth3 reading an ancient leather book in a dusty Victorian library filled with floating candles."
"A high-fashion editorial photo of Beth3 wearing an avant-garde gown made of liquid gold, posing amidst a surreal desert of white sand."
Training snapshots
Directly usable LoRA weights saved during training:
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("Lonuhbow/beth3")
image = pipe("A cinematic, wide shot of Beth3 as a futuristic cybernetic explorer standing on the neon-lit crystalline plains of a distant purple planet.", num_inference_steps=8, guidance_scale=0.0).images[0]
image.save("output.png")
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Model tree for Lonuhbow/beth3
Base model
krea/Krea-2-Raw

