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:
- 0d0f7a0b71d628fb2d6f8feb12c53dd11ede5a84849e89a0e6e6b3e5ea91e60b
- Size of remote file:
- 6.88 GB
- SHA256:
- 3c96f0f01014a8ea1b26626cfea22ac2067ab9c88633061a58cd4e620adc8f8a
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