Instructions to use Moibe/asianportrait with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Moibe/asianportrait with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Moibe/asianportrait", 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:
- 39a392951768a63fca7dfa0758bb75c44e085db485085f1a6776081b697028ff
- Size of remote file:
- 10.3 GB
- SHA256:
- eaaf41d2b9426ca21adecf701b3f8dd82fe004d9cb55b5986ebf72e1d8c73f08
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