Krea 2 LoRA — grossnex/pabllo-vittar

Prompt

A hyper-realistic cinematic shot of Pabllo Vittar as a futuristic cyberpunk queen, wearing neon-lit chrome armor in a rainy Tokyo alleyway.

Prompt

An oil painting of Pabllo Vittar dressed as a Renaissance noble, lounging in a lush baroque garden surrounded by peacocks and gold sculptures.

Prompt

Pabllo Vittar as an astronaut floating in zero gravity inside a psychedelic space station, surrounded by iridescent floating crystals.

Prompt

A vivid street photography shot of Pabllo Vittar wearing high-fashion avant-garde couture, walking through a crowded colorful Moroccan bazaar.

Prompt

A whimsical 3D render of Pabllo Vittar as a forest deity, adorned with glowing flowers and vines in a mystical bioluminescent jungle.

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 Pabllo Vittar to invoke the concept.

Samples

"A hyper-realistic cinematic shot of Pabllo Vittar as a futuristic cyberpunk queen, wearing neon-lit chrome armor in a rainy Tokyo alleyway."

"An oil painting of Pabllo Vittar dressed as a Renaissance noble, lounging in a lush baroque garden surrounded by peacocks and gold sculptures."

"Pabllo Vittar as an astronaut floating in zero gravity inside a psychedelic space station, surrounded by iridescent floating crystals."

"A vivid street photography shot of Pabllo Vittar wearing high-fashion avant-garde couture, walking through a crowded colorful Moroccan bazaar."

"A whimsical 3D render of Pabllo Vittar as a forest deity, adorned with glowing flowers and vines in a mystical bioluminescent jungle."

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("grossnex/pabllo-vittar")
image = pipe("A hyper-realistic cinematic shot of Pabllo Vittar as a futuristic cyberpunk queen, wearing neon-lit chrome armor in a rainy Tokyo alleyway.", num_inference_steps=8, guidance_scale=0.0).images[0]
image.save("output.png")