Instructions to use ericloux/s2000 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ericloux/s2000 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ericloux/s2000", 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:
- 19edf1f53f7b5d23374aca1d04127a6bcdbd3383b4f085ae895ae4bf46742a6c
- Size of remote file:
- 3.44 GB
- SHA256:
- e0cc3302ec32a33769cd87fb7e67d0a6894ed584b0e718228bb65c7fb6856a68
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.