Instructions to use suhaaspk/suhaasface with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use suhaaspk/suhaasface with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("suhaaspk/suhaasface", 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
File size: 134 Bytes
503137d | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:ab316db30e272c3410d0435357c280f4e3bda86a8094fdcecc3183343d2cde36
size 680904670
|