Instructions to use EnD-Diffusers/Slime_Tutorial with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use EnD-Diffusers/Slime_Tutorial with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("EnD-Diffusers/Slime_Tutorial", dtype=torch.bfloat16, device_map="cuda") prompt = "deetz1" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download token_identifier.txt from EnD-Diffusers/Slime_Tutorial: direct link, hf CLI and curl.
- Browser
- Download file 6 Bytes
-
https://huggingface.co/EnD-Diffusers/Slime_Tutorial/resolve/main/token_identifier.txt
- Command line
-
hf download hf://EnD-Diffusers/Slime_Tutorial/token_identifier.txt
-
curl -L -o token_identifier.txt https://huggingface.co/EnD-Diffusers/Slime_Tutorial/resolve/main/token_identifier.txt
6 Bytes
| deetz1 |