Instructions to use Likalto4/stable-diffusion-2-1-base_test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Likalto4/stable-diffusion-2-1-base_test with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Likalto4/stable-diffusion-2-1-base_test", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- b01ee6c1115b0aca25b7bb267fea428936e0e0d186e7b6963193a39e5451c2cf
- Size of remote file:
- 2.45 GB
- SHA256:
- f4a41eef4bcb1ccc86359d675e485727630dca52ab77eebf3edf1352d1fb62b6
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.