Instructions to use gligen/gligen-generation-normal with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use gligen/gligen-generation-normal 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-normal", 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
Download diffusion_pytorch_model.bin from gligen/gligen-generation-normal: direct link, hf CLI and curl.
- Browser
- Download file 7.11 GB
-
https://huggingface.co/gligen/gligen-generation-normal/resolve/main/diffusion_pytorch_model.bin
- Command line
-
hf download hf://gligen/gligen-generation-normal/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/gligen/gligen-generation-normal/resolve/main/diffusion_pytorch_model.bin
7.11 GB
- Xet hash:
- 38b36eba6ca2c9ef0f568606734ca630d2b454e9d7eab3e9ed915dad4ab1cf16
- Size of remote file:
- 7.11 GB
- SHA256:
- 481f0eff186b13fcf8988e0cd8c6929df18273a4a143e88c5b938fb4b9d56f13
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