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 flexdm/design_encoder.pt from greyDonald/HumanAwareDesignGeneration: direct link, hf CLI and curl.
- Browser
- Download file 9.86 MB
-
https://huggingface.co/greyDonald/HumanAwareDesignGeneration/resolve/main/flexdm/design_encoder.pt
- Command line
-
hf download hf://greyDonald/HumanAwareDesignGeneration/flexdm/design_encoder.pt
-
curl -L -o design_encoder.pt https://huggingface.co/greyDonald/HumanAwareDesignGeneration/resolve/main/flexdm/design_encoder.pt
9.86 MB
- Xet hash:
- 386704998b50e8045b3a35314ab81a28901018270683eae641a5737e720200b6
- Size of remote file:
- 9.86 MB
- SHA256:
- b75c3dab8a1f5e4f9dd7b6fb8c43f82a4ec11143545329e9937e291a58fc5e01
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