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 pose/52joints_tokenization.pth from greyDonald/HumanAwareDesignGeneration: direct link, hf CLI and curl.
- Browser
- Download file 52.6 MB
-
https://huggingface.co/greyDonald/HumanAwareDesignGeneration/resolve/main/pose/52joints_tokenization.pth
- Command line
-
hf download hf://greyDonald/HumanAwareDesignGeneration/pose/52joints_tokenization.pth
-
curl -L -o 52joints_tokenization.pth https://huggingface.co/greyDonald/HumanAwareDesignGeneration/resolve/main/pose/52joints_tokenization.pth
52.6 MB
- Xet hash:
- a14aa2fd099da991c8abeeb9d3f0ee34bca871820f00030616e3005f73754202
- Size of remote file:
- 52.6 MB
- SHA256:
- 0893481b5b6941f965c125dd10626fb91d28a51e04b3f3c3f330bb9e19a6d92d
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