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
- Xet hash:
- 8a332d2efada0de79cd6a49bcd5cf39f113e3895c0a3fca3b0f2221304ea00fb
- Size of remote file:
- 681 MB
- SHA256:
- ab316db30e272c3410d0435357c280f4e3bda86a8094fdcecc3183343d2cde36
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