Instructions to use TensorVizion/VexKrea with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use TensorVizion/VexKrea 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("TensorVizion/VexKrea") prompt = "A futuristic cyborg samurai standing in the middle of a neon-drenched Tokyo street during a rainstorm, cinematic lighting, score_4." image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Krea 2 LoRA โ TensorVizion/VexKrea

- Prompt
- A futuristic cyborg samurai standing in the middle of a neon-drenched Tokyo street during a rainstorm, cinematic lighting, score_4.

- Prompt
- A whimsical miniature village built inside a giant hollowed-out pumpkin, soft golden hour sunlight filtering through the walls, score_4.

- Prompt
- An ancient stone temple floating amidst a sea of swirling cosmic nebulae and sparkling stardust, ethereal atmosphere, score_4.
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 score_4 to invoke the concept.
Samples
"A futuristic cyborg samurai standing in the middle of a neon-drenched Tokyo street during a rainstorm, cinematic lighting, score_4."
"A whimsical miniature village built inside a giant hollowed-out pumpkin, soft golden hour sunlight filtering through the walls, score_4."
"An ancient stone temple floating amidst a sea of swirling cosmic nebulae and sparkling stardust, ethereal atmosphere, score_4."
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("TensorVizion/toucanflux")
image = pipe("A futuristic cyborg samurai standing in the middle of a neon-drenched Tokyo street during a rainstorm, cinematic lighting, score_4.", num_inference_steps=8, guidance_scale=0.0).images[0]
image.save("output.png")
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Model tree for TensorVizion/VexKrea
Base model
krea/Krea-2-Raw

