Instructions to use Outer-Spatial/nathan2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Outer-Spatial/nathan2 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("Outer-Spatial/nathan2") prompt = "abbeyy" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- f6bb350613d6fcb04769b828ab9066bbacdc907194bc0a7887d38f1cee7cb92f
- Size of remote file:
- 15 MB
- SHA256:
- a9bc7c06fa4f56c3f915507c8d2639dd143c5e72b78076e6b5754118a6c2f7a1
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.