How to use from the
Use from the
Diffusers library
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/cindycfr11")

prompt = "A futuristic cyberpunk city street drenched in neon rain, where a sleek metallic android stands under a holographic billboard cindycfr11."
image = pipe(prompt).images[0]

Krea 2 LoRA โ€” dekes1/cindycfr11

Prompt
A futuristic cyberpunk city street drenched in neon rain, where a sleek metallic android stands under a holographic billboard cindycfr11.
Prompt
An ethereal underwater kingdom with glowing coral reefs and iridescent fish swimming around a floating ancient marble temple cindycfr11.
Prompt
A cozy Victorian library filled with floating leather-bound books and a warm crackling fireplace illuminating a velvet armchair cindycfr11.

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 cindycfr11 to invoke the concept.

Samples

sample

"A futuristic cyberpunk city street drenched in neon rain, where a sleek metallic android stands under a holographic billboard cindycfr11."

sample

"An ethereal underwater kingdom with glowing coral reefs and iridescent fish swimming around a floating ancient marble temple cindycfr11."

sample

"A cozy Victorian library filled with floating leather-bound books and a warm crackling fireplace illuminating a velvet armchair cindycfr11."

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/cindycfr11")
image = pipe("A futuristic cyberpunk city street drenched in neon rain, where a sleek metallic android stands under a holographic billboard cindycfr11.", num_inference_steps=8, guidance_scale=0.0).images[0]
image.save("output.png")
Downloads last month
10
Inference Examples
Examples
This model isn't deployed by any Inference Provider. ๐Ÿ™‹ Ask for provider support

Model tree for dekes1/cindycfr11

Base model

krea/Krea-2-Raw
Adapter
(608)
this model