Instructions to use dekes1/cindycfr30 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use dekes1/cindycfr30 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("dekes1/cindycfr30") prompt = "A futuristic neon cyberpunk cityscape at midnight, where a sleek android figure cindycfr30 stands under a holographic umbrella in the pouring rain." image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Krea 2 LoRA โ dekes1/cindycfr30

- Prompt
- A futuristic neon cyberpunk cityscape at midnight, where a sleek android figure cindycfr30 stands under a holographic umbrella in the pouring rain.

- Prompt
- A serene, sun-drenched Tuscan vineyard during golden hour, featuring a rustic wooden table where a vintage leather journal cindycfr30 rests beside a glass of red wine.

- Prompt
- An ethereal underwater kingdom with glowing coral reefs and shimmering bubbles, showcasing a majestic crystalline sculpture cindycfr30 floating in the deep blue currents.
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 cindycfr30 to invoke the concept.
Samples
"A futuristic neon cyberpunk cityscape at midnight, where a sleek android figure cindycfr30 stands under a holographic umbrella in the pouring rain."
"A serene, sun-drenched Tuscan vineyard during golden hour, featuring a rustic wooden table where a vintage leather journal cindycfr30 rests beside a glass of red wine."
"An ethereal underwater kingdom with glowing coral reefs and shimmering bubbles, showcasing a majestic crystalline sculpture cindycfr30 floating in the deep blue currents."
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("dekes1/cindycfr30")
image = pipe("A futuristic neon cyberpunk cityscape at midnight, where a sleek android figure cindycfr30 stands under a holographic umbrella in the pouring rain.", num_inference_steps=8, guidance_scale=0.0).images[0]
image.save("output.png")
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Model tree for dekes1/cindycfr30
Base model
krea/Krea-2-Raw

