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 tokenizer_2/tokenizer.json from Shakker-Labs/AWPortrait-FL: direct link, hf CLI and curl.
- Browser
- Download file 2.42 MB
-
https://huggingface.co/Shakker-Labs/AWPortrait-FL/resolve/main/tokenizer_2/tokenizer.json
- Command line
-
hf download hf://Shakker-Labs/AWPortrait-FL/tokenizer_2/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/Shakker-Labs/AWPortrait-FL/resolve/main/tokenizer_2/tokenizer.json
2.42 MB
File too large to display, you can check the raw version instead.