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_diffusion/layerdiffuse/vae_transparent_decoder.safetensors from greyDonald/HumanAwareDesignGeneration: direct link, hf CLI and curl.
- Browser
- Download file 208 MB
-
https://huggingface.co/greyDonald/HumanAwareDesignGeneration/resolve/main/pose_diffusion/layerdiffuse/vae_transparent_decoder.safetensors
- Command line
-
hf download hf://greyDonald/HumanAwareDesignGeneration/pose_diffusion/layerdiffuse/vae_transparent_decoder.safetensors
-
curl -L -o vae_transparent_decoder.safetensors https://huggingface.co/greyDonald/HumanAwareDesignGeneration/resolve/main/pose_diffusion/layerdiffuse/vae_transparent_decoder.safetensors
208 MB
- Xet hash:
- 1387841be8e3f650352865f72805f0a44f9e58111a5b9e92ebc1085e89dc2d5d
- Size of remote file:
- 208 MB
- SHA256:
- 59dc8feefe40d26b6cb7186aed7af70c60d94ac4f9db8ebe7f121a01ba27a2fc
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