metadata
base_model: krea/Krea-2-Raw
tags:
- text-to-image
- diffusers
- lora
- krea2
- template:sd-lora
license: apache-2.0
instance_prompt: Emily
widget:
- text: >-
A cinematic close-up of Emily as a cyberpunk hacker, illuminated by neon
blue holographic screens in a rainy futuristic Tokyo alley.
output:
url: sample_0.png
- text: >-
A dreamy oil painting of Emily wearing a floral Victorian gown, wandering
through a sun-drenched meadow of lavender and gold.
output:
url: sample_1.png
- text: >-
An epic wide shot of Emily as an astronaut standing on the crystalline
surface of a distant purple planet, gazing at a swirling galaxy.
output:
url: sample_2.png
Krea 2 LoRA — Xopen/emily2
- Prompt
- A cinematic close-up of Emily as a cyberpunk hacker, illuminated by neon blue holographic screens in a rainy futuristic Tokyo alley.
- Prompt
- A dreamy oil painting of Emily wearing a floral Victorian gown, wandering through a sun-drenched meadow of lavender and gold.
- Prompt
- An epic wide shot of Emily as an astronaut standing on the crystalline surface of a distant purple planet, gazing at a swirling galaxy.
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 Emily to invoke the concept.
Samples
"A cinematic close-up of Emily as a cyberpunk hacker, illuminated by neon blue holographic screens in a rainy futuristic Tokyo alley."
"A dreamy oil painting of Emily wearing a floral Victorian gown, wandering through a sun-drenched meadow of lavender and gold."
"An epic wide shot of Emily as an astronaut standing on the crystalline surface of a distant purple planet, gazing at a swirling galaxy."
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("Xopen/emily2")
image = pipe("A cinematic close-up of Emily as a cyberpunk hacker, illuminated by neon blue holographic screens in a rainy futuristic Tokyo alley.", num_inference_steps=8, guidance_scale=0.0).images[0]
image.save("output.png")