metadata
base_model: krea/Krea-2-Raw
tags:
- text-to-image
- diffusers
- lora
- krea2
- template:sd-lora
license: apache-2.0
instance_prompt: FAJU
widget:
- text: >-
A cinematic shot of a futuristic FAJU robot tending to a glowing neon
garden in a floating cyberpunk city.
output:
url: sample_0.png
- text: >-
A vintage oil painting of a FAJU explorer discovering an ancient golden
temple hidden deep within a misty jungle.
output:
url: sample_1.png
- text: >-
A macro photograph of a tiny FAJU creature made of liquid crystal resting
on a dew-covered autumn leaf.
output:
url: sample_2.png
Krea 2 LoRA — funseshon/faju
- Prompt
- A cinematic shot of a futuristic FAJU robot tending to a glowing neon garden in a floating cyberpunk city.
- Prompt
- A vintage oil painting of a FAJU explorer discovering an ancient golden temple hidden deep within a misty jungle.
- Prompt
- A macro photograph of a tiny FAJU creature made of liquid crystal resting on a dew-covered autumn leaf.
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 FAJU to invoke the concept.
Samples
"A cinematic shot of a futuristic FAJU robot tending to a glowing neon garden in a floating cyberpunk city."
"A vintage oil painting of a FAJU explorer discovering an ancient golden temple hidden deep within a misty jungle."
"A macro photograph of a tiny FAJU creature made of liquid crystal resting on a dew-covered autumn leaf."
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/faju")
image = pipe("A cinematic shot of a futuristic FAJU robot tending to a glowing neon garden in a floating cyberpunk city.", num_inference_steps=8, guidance_scale=0.0).images[0]
image.save("output.png")