Instructions to use greyDonald/HumanAwareDesignGeneration with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use greyDonald/HumanAwareDesignGeneration with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline from diffusers.utils import load_image # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("greyDonald/HumanAwareDesignGeneration", dtype=torch.bfloat16, device_map="cuda") prompt = "Turn this cat into a dog" input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png") image = pipe(image=input_image, prompt=prompt).images[0] - Notebooks
- Google Colab
- Kaggle
Download assets/camera/camera_centers.npz from greyDonald/HumanAwareDesignGeneration: direct link, hf CLI and curl.
- Browser
- Download file 3.8 kB
-
https://huggingface.co/greyDonald/HumanAwareDesignGeneration/resolve/main/assets/camera/camera_centers.npz
- Command line
-
hf download hf://greyDonald/HumanAwareDesignGeneration/assets/camera/camera_centers.npz
-
curl -L -o camera_centers.npz https://huggingface.co/greyDonald/HumanAwareDesignGeneration/resolve/main/assets/camera/camera_centers.npz
3.8 kB
- Xet hash:
- fa17192399dc60871a84c34f819e5df404656e72064586b43211fa3e5d214962
- Size of remote file:
- 3.8 kB
- SHA256:
- 9f08c905c7461f86efeead881d4ba35d3d3bc7f7d8e9c4301894290efeaceb20
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