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
- Draw Things
- DiffusionBee
File size: 134 Bytes
848de15 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:893f85bd2f21106f8609bfa86cf466b3f8e8feac9f5c7d46b2bd1d90d98a27e9
size 492308087
|