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/ip_adapter/image_encoder_h2/model.safetensors from greyDonald/HumanAwareDesignGeneration: direct link, hf CLI and curl.
- Browser
- Download file 3.94 GB
-
https://huggingface.co/greyDonald/HumanAwareDesignGeneration/resolve/main/pose_diffusion/ip_adapter/image_encoder_h2/model.safetensors
- Command line
-
hf download hf://greyDonald/HumanAwareDesignGeneration/pose_diffusion/ip_adapter/image_encoder_h2/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/greyDonald/HumanAwareDesignGeneration/resolve/main/pose_diffusion/ip_adapter/image_encoder_h2/model.safetensors
3.94 GB
- Xet hash:
- 948f16a55a450290c2c8dcd1d89bf795a81d7e979fb8dbaff548a02ae35d107f
- Size of remote file:
- 3.94 GB
- SHA256:
- 036e6e2bd49697511f4f8b8cb5ee465f93025f7a69a145eadeb9a881ace9b18d
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