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
Sample workflow question
#5
by bluetimejt - opened
In your sample workflow, you also have a 2nd lora called k2_bp_v5.1.safetensors. What is that lora since it only goes to the 2nd sampler?
Sorry for the confusion β k2_bp_v5.1.safetensors is a style LoRA I trained myself; it has nothing to do with SDA, so you don't need to use it.