Instructions to use HengJi/stable_diffusion_face_generation_10.25 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use HengJi/stable_diffusion_face_generation_10.25 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("HengJi/stable_diffusion_face_generation_10.25", 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
|
Download README.md from HengJi/stable_diffusion_face_generation_10.25: direct link, hf CLI and curl.
- Browser
- Download file 42 Bytes
-
https://huggingface.co/HengJi/stable_diffusion_face_generation_10.25/resolve/main/README.md
- Command line
-
hf download hf://HengJi/stable_diffusion_face_generation_10.25/README.md
-
curl -L -o README.md https://huggingface.co/HengJi/stable_diffusion_face_generation_10.25/resolve/main/README.md
42 Bytes
metadata
{}
HengJi's faces generation model