base_model: krea/Krea-2-Raw
tags:
- text-to-image
- diffusers
- lora
- krea2
- template:sd-lora
license: apache-2.0
instance_prompt: '@mb3r'
widget:
- text: >-
A hyper-realistic portrait of @mb3r as a futuristic cybernetic deity
floating in a void of liquid gold and neon circuitry.
output:
url: sample_0.png
- text: >-
A cinematic shot of @mb3r dressed as a Victorian explorer discovering a
glowing prehistoric jungle under a violet sky @mb3r.
output:
url: sample_1.png
- text: >-
A whimsical watercolor painting of @mb3r as a tiny forest sprite sleeping
inside a dew-covered peony flower @mb3r.
output:
url: sample_2.png
- text: >-
An epic wide shot of @mb3r clad in obsidian armor standing atop a frozen
peak amidst a swirling galactic blizzard @mb3r.
output:
url: sample_3.png
- text: >-
A moody noir scene of @mb3r as a 1940s detective sitting in a rain-slicked
alleyway illuminated by a single flickering streetlamp @mb3r.
output:
url: sample_4.png
- text: >-
A vibrant pop-art illustration of @mb3r surfing on a wave of melted
rainbow candy in a surreal candy-land dimension @mb3r.
output:
url: sample_5.png
- text: >-
A serene Zen garden where @mb3r is depicted as a stone statue slowly
turning into cherry blossom petals in the wind @mb3r.
output:
url: sample_6.png
- text: >-
A gritty steampunk workshop scene with @mb3r tinkering with a giant brass
clockwork heart amidst clouds of steam @mb3r.
output:
url: sample_7.png
Krea 2 LoRA — Quantumbraid/amber
- Prompt
- A hyper-realistic portrait of @mb3r as a futuristic cybernetic deity floating in a void of liquid gold and neon circuitry.
- Prompt
- A cinematic shot of @mb3r dressed as a Victorian explorer discovering a glowing prehistoric jungle under a violet sky @mb3r.
- Prompt
- A whimsical watercolor painting of @mb3r as a tiny forest sprite sleeping inside a dew-covered peony flower @mb3r.
- Prompt
- An epic wide shot of @mb3r clad in obsidian armor standing atop a frozen peak amidst a swirling galactic blizzard @mb3r.
- Prompt
- A moody noir scene of @mb3r as a 1940s detective sitting in a rain-slicked alleyway illuminated by a single flickering streetlamp @mb3r.
- Prompt
- A vibrant pop-art illustration of @mb3r surfing on a wave of melted rainbow candy in a surreal candy-land dimension @mb3r.
- Prompt
- A serene Zen garden where @mb3r is depicted as a stone statue slowly turning into cherry blossom petals in the wind @mb3r.
- Prompt
- A gritty steampunk workshop scene with @mb3r tinkering with a giant brass clockwork heart amidst clouds of steam @mb3r.
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 @mb3r to invoke the concept.
Samples
"A hyper-realistic portrait of @mb3r as a futuristic cybernetic deity floating in a void of liquid gold and neon circuitry."
"A cinematic shot of @mb3r dressed as a Victorian explorer discovering a glowing prehistoric jungle under a violet sky @mb3r."
"A whimsical watercolor painting of @mb3r as a tiny forest sprite sleeping inside a dew-covered peony flower @mb3r."
"An epic wide shot of @mb3r clad in obsidian armor standing atop a frozen peak amidst a swirling galactic blizzard @mb3r."
"A moody noir scene of @mb3r as a 1940s detective sitting in a rain-slicked alleyway illuminated by a single flickering streetlamp @mb3r."
"A vibrant pop-art illustration of @mb3r surfing on a wave of melted rainbow candy in a surreal candy-land dimension @mb3r."
"A serene Zen garden where @mb3r is depicted as a stone statue slowly turning into cherry blossom petals in the wind @mb3r."
"A gritty steampunk workshop scene with @mb3r tinkering with a giant brass clockwork heart amidst clouds of steam @mb3r."
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("Quantumbraid/amber")
image = pipe("A hyper-realistic portrait of @mb3r as a futuristic cybernetic deity floating in a void of liquid gold and neon circuitry.", num_inference_steps=8, guidance_scale=0.0).images[0]
image.save("output.png")