Instructions to use gligen/gligen-generation-sem with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use gligen/gligen-generation-sem 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-sem", 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:
- 01474f8e774cadb9791845b1d9aac485e95f824a6dba1edf10569bee26cad06a
- Size of remote file:
- 7.11 GB
- SHA256:
- b7dcf5a8c3fa3d1fe6b97b82b96d3ae46c102f630cb4128cee4a3a87506fb3c5
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