Instructions to use gligen/gligen-generation-depth with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use gligen/gligen-generation-depth 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-depth", 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:
- ee025f377dd1ed37101db73aee0aca046e693118ea07d75bfe3702a8847fb4ef
- Size of remote file:
- 7.11 GB
- SHA256:
- a6d8d75011dd64ceeb24e04f110ae6aff48ee9c90ee5121646cd63012e79cc80
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