Instructions to use c-eshih/human_stable_diffusion_concat with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use c-eshih/human_stable_diffusion_concat 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_concat", 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:
- be287987abc2d5b05ae640599750819a61d9079c84b9a53ceb81f167b1491831
- Size of remote file:
- 6.88 GB
- SHA256:
- febb4c93aeca0e323c77f1074461617f119808d43a2bfdf6dc22d77669df9e35
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