Instructions to use HengJi/stable_diffusion_face_generation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use HengJi/stable_diffusion_face_generation 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", 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
- Xet hash:
- fe94f4107880913afc0b4f3b6e57a9aaaa74166c0aff97b247e7cfb65560777e
- Size of remote file:
- 114 MB
- SHA256:
- 58009f89cb8ee6a95aa6b91c88bbf5e0ad6f0b9b8cc32d4f32723100eb70420f
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