Instructions to use ostris/krea2_turbo_style_reference with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ostris/krea2_turbo_style_reference 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("ostris/krea2_turbo_style_reference") prompt = "a white yeti with horns reading a book that is titled \"Ostris + Krea2 Style Reference\"" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 96bebf018be8af8f38aa789a1faaeeabe3a5d230ae05dee04310395552cf6212
- Size of remote file:
- 457 MB
- SHA256:
- f50df5a9e62e4be8aa926a63dd5bb1a64770c4004f763c1208007ae13daa82b8
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