Instructions to use dekes1/cindycfr2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use dekes1/cindycfr2 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/cindycfr2") prompt = "A high-fashion editorial shot of a woman cindycfr2 wearing a neon holographic gown, standing amidst a futuristic cyberpunk Tokyo street with rain-slicked pavement and glowing signs." image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Krea 2 LoRA โ dekes1/cindycfr2

- Prompt
- A high-fashion editorial shot of a woman cindycfr2 wearing a neon holographic gown, standing amidst a futuristic cyberpunk Tokyo street with rain-slicked pavement and glowing signs.

- Prompt
- A cinematic close-up of cindycfr2 as a medieval warrior in ornate silver armor, resting in a sun-dappled ancient forest with floating magical spores.

- Prompt
- A whimsical 3D render of cindycfr2 as a miniature explorer navigating a giant kitchen landscape, climbing a massive mountain of colorful macarons.
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 cindycfr2 to invoke the concept.
Samples
"A high-fashion editorial shot of a woman cindycfr2 wearing a neon holographic gown, standing amidst a futuristic cyberpunk Tokyo street with rain-slicked pavement and glowing signs."
"A cinematic close-up of cindycfr2 as a medieval warrior in ornate silver armor, resting in a sun-dappled ancient forest with floating magical spores."
"A whimsical 3D render of cindycfr2 as a miniature explorer navigating a giant kitchen landscape, climbing a massive mountain of colorful macarons."
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/cindycfr2")
image = pipe("A high-fashion editorial shot of a woman cindycfr2 wearing a neon holographic gown, standing amidst a futuristic cyberpunk Tokyo street with rain-slicked pavement and glowing signs.", num_inference_steps=8, guidance_scale=0.0).images[0]
image.save("output.png")
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Model tree for dekes1/cindycfr2
Base model
krea/Krea-2-Raw

