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 poster.jpeg from Shakker-Labs/AWPortrait-FL: direct link, hf CLI and curl.
- Browser
- Download file 1.57 MB
-
https://huggingface.co/Shakker-Labs/AWPortrait-FL/resolve/main/poster.jpeg
- Command line
-
hf download hf://Shakker-Labs/AWPortrait-FL/poster.jpeg
-
curl -L -o poster.jpeg https://huggingface.co/Shakker-Labs/AWPortrait-FL/resolve/main/poster.jpeg
1.57 MB

- Xet hash:
- 4e0af26ebcbbc975f2b42cd7c5e85abcd8db4679514fb3e1ab07571f1778c50d
- Size of remote file:
- 1.57 MB
- SHA256:
- b7aade7c1e99958748f5da1390f5b7cf3930b55924f95ecd17e969a190cb6be7
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