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
Can it be used with the Raw model and the turbo lora?
#4
by chelseak98 - opened
I primarily use the Raw model with the turbo lora. Is this lora compatible with it? I'm only getting mangled images.
SDA was trained on the krea2 turbo model rather than the usual raw-based one, so it's likely not well-suited for use with a raw model + turbo LoRA.