Instructions to use saik0s/p0ar4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use saik0s/p0ar4 with Diffusers:
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] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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
"A futuristic cyberpunk city street drenched in neon rain, featuring a holographic p0ar4 floating above a crowded marketplace."
"A serene, sun-drenched Tuscan vineyard where a rustic wooden table holds a crystal vase and a single p0ar4."
"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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Model tree for saik0s/p0ar4
Base model
krea/Krea-2-Raw

