Instructions to use Saref123/krea-ade1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Saref123/krea-ade1 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("Saref123/krea-ade1") prompt = "A futuristic cyborg samurai standing in a neon-drenched cyberpunk alleyway under heavy rain, krea-ade1, cinematic lighting and hyper-realistic reflections." image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Krea 2 LoRA โ Saref123/krea-ade1

- Prompt
- A futuristic cyborg samurai standing in a neon-drenched cyberpunk alleyway under heavy rain, krea-ade1, cinematic lighting and hyper-realistic reflections.

- Prompt
- A whimsical tea party hosted by a fluffy red panda in a sun-dappled enchanted forest with floating lanterns, krea-ade1, soft pastel colors and ethereal atmosphere.

- Prompt
- A colossal ancient stone temple carved into a frozen Arctic cliffside during a vivid aurora borealis, krea-ade1, epic scale and intricate architectural detail.
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 krea-ade1 to invoke the concept.
Samples
"A futuristic cyborg samurai standing in a neon-drenched cyberpunk alleyway under heavy rain, krea-ade1, cinematic lighting and hyper-realistic reflections."
"A whimsical tea party hosted by a fluffy red panda in a sun-dappled enchanted forest with floating lanterns, krea-ade1, soft pastel colors and ethereal atmosphere."
"A colossal ancient stone temple carved into a frozen Arctic cliffside during a vivid aurora borealis, krea-ade1, epic scale and intricate architectural detail."
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("Saref123/krea-ade1")
image = pipe("A futuristic cyborg samurai standing in a neon-drenched cyberpunk alleyway under heavy rain, krea-ade1, cinematic lighting and hyper-realistic reflections.", num_inference_steps=8, guidance_scale=0.0).images[0]
image.save("output.png")
- Downloads last month
- 52
Model tree for Saref123/krea-ade1
Base model
krea/Krea-2-Raw

