Instructions to use c-eshih/human_stable_diffusion_mask_2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use c-eshih/human_stable_diffusion_mask_2 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_mask_2", 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
File size: 135 Bytes
662b0b3 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:b88f2c004038798c03fc6a3c7393e2fc697ed82995aa8f2db5f0d931342bad41
size 6876851924
|