Instructions to use F16/krea2-turbo-sda with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use F16/krea2-turbo-sda 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-Turbo", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("F16/krea2-turbo-sda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Very important lora
#3
by Kutches - opened
i really like this lora fixes some of problem with krea2 since the beginning that cant be fixed with more data also improves use of unusual camera angles and compositions thats are the worst thing of turbo models (I hate the centering problem of every turbo model)