Instructions to use Hawk91/sd_Anime_Faces_32 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Hawk91/sd_Anime_Faces_32 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Hawk91/sd_Anime_Faces_32", 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:
- 4c40392d4be9bae756e7a8d4a95088688fc4f47ed681e9e31c0e481072ebb833
- Size of remote file:
- 74.3 MB
- SHA256:
- 6c298454d7c93e348d190621f22f2a9c3514223afbbdf08c697023349326c435
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