Instructions to use gligen/gligen-generation-canny with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use gligen/gligen-generation-canny 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-canny", 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-canny: direct link, hf CLI and curl.
- Browser
- Download file 7.11 GB
-
https://huggingface.co/gligen/gligen-generation-canny/resolve/main/diffusion_pytorch_model.bin
- Command line
-
hf download hf://gligen/gligen-generation-canny/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/gligen/gligen-generation-canny/resolve/main/diffusion_pytorch_model.bin
7.11 GB
- Xet hash:
- b78712fcdfec1069d1ba80a3a7d802b2c5e39b4fdb6d96d37d68148002012a21
- Size of remote file:
- 7.11 GB
- SHA256:
- 0061333b1e3fe7027496cb573bfb1a2b26a95ef5d811cc03057fb33548340c9c
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