How to use from the
Use from the
Diffusers library
pip install -U diffusers transformers accelerate
import torch
from diffusers import DiffusionPipeline

# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("krea/Krea-2-Raw", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("saik0s/p0ar4")

prompt = "A futuristic cyberpunk city street drenched in neon rain, featuring a holographic p0ar4 floating above a crowded marketplace."
image = pipe(prompt).images[0]

Krea 2 LoRA โ€” saik0s/p0ar4

Prompt
A futuristic cyberpunk city street drenched in neon rain, featuring a holographic p0ar4 floating above a crowded marketplace.
Prompt
A serene, sun-drenched Tuscan vineyard where a rustic wooden table holds a crystal vase and a single p0ar4.
Prompt
An epic underwater kingdom with iridescent coral towers and a glowing p0ar4 drifting through a school of shimmering fish.

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 p0ar4 to invoke the concept.

Samples

sample

"A futuristic cyberpunk city street drenched in neon rain, featuring a holographic p0ar4 floating above a crowded marketplace."

sample

"A serene, sun-drenched Tuscan vineyard where a rustic wooden table holds a crystal vase and a single p0ar4."

sample

"An epic underwater kingdom with iridescent coral towers and a glowing p0ar4 drifting through a school of shimmering fish."

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("saik0s/p0ar4")
image = pipe("A futuristic cyberpunk city street drenched in neon rain, featuring a holographic p0ar4 floating above a crowded marketplace.", num_inference_steps=8, guidance_scale=0.0).images[0]
image.save("output.png")
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