Instructions to use KappaNeuro/alex-andreev-style with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use KappaNeuro/alex-andreev-style with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-base-1.0", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("KappaNeuro/alex-andreev-style") prompt = "Alex Andreev style - there are sandcastles on the beach that have been built before. A girl with a balloon watches her parents chatting." image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- e4fae70ba12454e072d0374d2bea59e12f703ffc76197ce13d492aa202c09e13
- Size of remote file:
- 228 MB
- SHA256:
- 068d07fdf68ecb0503f9df846457315edca44d43615209bc80c25501c1acb3cd
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.