Instructions to use c-eshih/human_stable_diffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use c-eshih/human_stable_diffusion with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("c-eshih/human_stable_diffusion", 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:
- 60bd7e0ebcd255fb5bbdb8e138e4a6ce1af43840142a8decdffb3c099dd472af
- Size of remote file:
- 6.88 GB
- SHA256:
- d3a6ffefe99dcced3463ad504d4a499aff8345b1d344fbad697300982a7c8ca0
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