metadata
base_model: krea/Krea-2-Raw
tags:
- text-to-image
- diffusers
- lora
- krea2
- template:sd-lora
license: apache-2.0
instance_prompt: TRAPPED_BJ
widget:
- text: >-
A majestic snow leopard leaping across a jagged Himalayan cliffside during
a fierce blizzard, crystalline ice particles frozen in mid-air. TRAPPED_BJ
output:
url: sample_0.png
- text: >-
A sleek, neon-lit cyberpunk hovercar speeding down a rain-slicked Tokyo
highway at midnight, reflecting vibrant magenta and teal lights.
TRAPPED_BJ
output:
url: sample_1.png
- text: >-
An elderly clockmaker meticulously assembling a golden pocket watch in a
dusty, sun-drenched attic filled with floating motes of light. TRAPPED_BJ
output:
url: sample_2.png
Krea 2 LoRA — funseshon/trapped-bj
- Prompt
- A majestic snow leopard leaping across a jagged Himalayan cliffside during a fierce blizzard, crystalline ice particles frozen in mid-air. TRAPPED_BJ
- Prompt
- A sleek, neon-lit cyberpunk hovercar speeding down a rain-slicked Tokyo highway at midnight, reflecting vibrant magenta and teal lights. TRAPPED_BJ
- Prompt
- An elderly clockmaker meticulously assembling a golden pocket watch in a dusty, sun-drenched attic filled with floating motes of light. TRAPPED_BJ
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 phrase TRAPPED_BJ to invoke the concept.
Samples
"A majestic snow leopard leaping across a jagged Himalayan cliffside during a fierce blizzard, crystalline ice particles frozen in mid-air. TRAPPED_BJ"
"A sleek, neon-lit cyberpunk hovercar speeding down a rain-slicked Tokyo highway at midnight, reflecting vibrant magenta and teal lights. TRAPPED_BJ"
"An elderly clockmaker meticulously assembling a golden pocket watch in a dusty, sun-drenched attic filled with floating motes of light. TRAPPED_BJ"
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("funseshon/trapped-bj")
image = pipe("A majestic snow leopard leaping across a jagged Himalayan cliffside during a fierce blizzard, crystalline ice particles frozen in mid-air. TRAPPED_BJ", num_inference_steps=8, guidance_scale=0.0).images[0]
image.save("output.png")