metadata
base_model: krea/Krea-2-Raw
tags:
- text-to-image
- diffusers
- lora
- krea2
- template:sd-lora
license: apache-2.0
instance_prompt: m4r4kr34
widget:
- text: >-
A futuristic neon cityscape at midnight where a holographic m4r4kr34
floats above a rain-slicked street, reflecting vibrant cyan and magenta
lights.
output:
url: sample_0.png
- text: >-
An ancient, overgrown stone temple deep in a tropical jungle, with a
weathered m4r4kr34 carved into the central altar amidst creeping vines.
output:
url: sample_1.png
- text: >-
A surrealist dreamscape of floating islands and pastel clouds, featuring a
giant, iridescent m4r4kr34 drifting weightlessly through a golden
atmosphere.
output:
url: sample_2.png
Krea 2 LoRA — Frogger40/mara
- Prompt
- A futuristic neon cityscape at midnight where a holographic m4r4kr34 floats above a rain-slicked street, reflecting vibrant cyan and magenta lights.
- Prompt
- An ancient, overgrown stone temple deep in a tropical jungle, with a weathered m4r4kr34 carved into the central altar amidst creeping vines.
- Prompt
- A surrealist dreamscape of floating islands and pastel clouds, featuring a giant, iridescent m4r4kr34 drifting weightlessly through a golden atmosphere.
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 m4r4kr34 to invoke the concept.
Samples
"A futuristic neon cityscape at midnight where a holographic m4r4kr34 floats above a rain-slicked street, reflecting vibrant cyan and magenta lights."
"An ancient, overgrown stone temple deep in a tropical jungle, with a weathered m4r4kr34 carved into the central altar amidst creeping vines."
"A surrealist dreamscape of floating islands and pastel clouds, featuring a giant, iridescent m4r4kr34 drifting weightlessly through a golden atmosphere."
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("Frogger40/mara")
image = pipe("A futuristic neon cityscape at midnight where a holographic m4r4kr34 floats above a rain-slicked street, reflecting vibrant cyan and magenta lights.", num_inference_steps=8, guidance_scale=0.0).images[0]
image.save("output.png")