Instructions to use Shakker-Labs/AWPortrait-FL with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Shakker-Labs/AWPortrait-FL with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Shakker-Labs/AWPortrait-FL", 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
Download compare.png from Shakker-Labs/AWPortrait-FL: direct link, hf CLI and curl.
- Browser
- Download file 7.31 MB
-
https://huggingface.co/Shakker-Labs/AWPortrait-FL/resolve/main/compare.png
- Command line
-
hf download hf://Shakker-Labs/AWPortrait-FL/compare.png
-
curl -L -o compare.png https://huggingface.co/Shakker-Labs/AWPortrait-FL/resolve/main/compare.png
7.31 MB

- Xet hash:
- cecbea128876cb7ffc817768d785a5af535e69228949234bf43baf951c0e4aed
- Size of remote file:
- 7.31 MB
- SHA256:
- 3ec0c7f21fb403a0088a7d6a4254f5f891b07493379dc27517c6851780fc1d30
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