Instructions to use cardinaltm/s2kinetic-style with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use cardinaltm/s2kinetic-style 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("cardinaltm/s2kinetic-style") prompt = "A majestic snow leopard leaping across a jagged Himalayan cliffside amidst a swirling blizzard, s2kinetic style" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Krea 2 LoRA β cardinaltm/s2kinetic-style

- Prompt
- A majestic snow leopard leaping across a jagged Himalayan cliffside amidst a swirling blizzard, s2kinetic style

- Prompt
- A sleek neon-lit cyberpunk motorcycle speeding down a rain-slicked Tokyo highway at midnight, s2kinetic style

- Prompt
- An elderly clockmaker meticulously assembling a golden pocket watch in a dusty, sun-drenched workshop, s2kinetic style
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 phrase s2kinetic style to invoke the concept.
Samples
"A majestic snow leopard leaping across a jagged Himalayan cliffside amidst a swirling blizzard, s2kinetic style"
"A sleek neon-lit cyberpunk motorcycle speeding down a rain-slicked Tokyo highway at midnight, s2kinetic style"
"An elderly clockmaker meticulously assembling a golden pocket watch in a dusty, sun-drenched workshop, s2kinetic style"
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("cardinaltm/s2kinetic-style")
image = pipe("A majestic snow leopard leaping across a jagged Himalayan cliffside amidst a swirling blizzard, s2kinetic style", num_inference_steps=8, guidance_scale=0.0).images[0]
image.save("output.png")
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Model tree for cardinaltm/s2kinetic-style
Base model
krea/Krea-2-Raw

