Instructions to use Falah/female-style with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Falah/female-style with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Falah/female-style", 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 text_encoder/pytorch_model.bin from Falah/female-style: direct link, hf CLI and curl.
- Browser
- Download file 246 MB
-
https://huggingface.co/Falah/female-style/resolve/main/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://Falah/female-style/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Falah/female-style/resolve/main/text_encoder/pytorch_model.bin
246 MB
- Xet hash:
- 69f0e7074f853dd2389f358da3831d20376f93673f797d8b5603cdf818ae62b3
- Size of remote file:
- 246 MB
- SHA256:
- 0d810402c09b886a272da3217292d653d7a94032d6680a47d695673859088e47
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