Instructions to use dekes1/cindycfr17 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use dekes1/cindycfr17 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/cindycfr17") prompt = "A futuristic cyberpunk city street drenched in neon rain, featuring a high-tech android subject cindycfr17 leaning against a holographic billboard." image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Krea 2 LoRA โ dekes1/cindycfr17

- Prompt
- A futuristic cyberpunk city street drenched in neon rain, featuring a high-tech android subject cindycfr17 leaning against a holographic billboard.

- Prompt
- An ethereal underwater kingdom with glowing coral reefs, where a mystical mermaid subject cindycfr17 floats amidst shimmering schools of silver fish.

- Prompt
- A dusty 1920s jazz club with warm amber lighting and swirling cigar smoke, showcasing a soulful singer subject cindycfr17 performing into a vintage chrome microphone.
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 cindycfr17 to invoke the concept.
Samples
"A futuristic cyberpunk city street drenched in neon rain, featuring a high-tech android subject cindycfr17 leaning against a holographic billboard."
"An ethereal underwater kingdom with glowing coral reefs, where a mystical mermaid subject cindycfr17 floats amidst shimmering schools of silver fish."
"A dusty 1920s jazz club with warm amber lighting and swirling cigar smoke, showcasing a soulful singer subject cindycfr17 performing into a vintage chrome microphone."
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/cindycfr17")
image = pipe("A futuristic cyberpunk city street drenched in neon rain, featuring a high-tech android subject cindycfr17 leaning against a holographic billboard.", num_inference_steps=8, guidance_scale=0.0).images[0]
image.save("output.png")
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Model tree for dekes1/cindycfr17
Base model
krea/Krea-2-Raw

