Instructions to use gligen/gligen-generation-hed with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use gligen/gligen-generation-hed with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("gligen/gligen-generation-hed", 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:
- 0b2ed9b65533389fe9b82cf7a463cad18fa7d0d9b39b5619cb6bf33b2f3dbe6d
- Size of remote file:
- 7.11 GB
- SHA256:
- 985c1957626bc732221047aa6d65278099b9d49728679ce2496499c559966557
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