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 qwenimage21/vae/diffusion_pytorch_model.safetensors from greyDonald/HumanAwareDesignGeneration: direct link, hf CLI and curl.
- Browser
- Download file 1.35 GB
-
https://huggingface.co/greyDonald/HumanAwareDesignGeneration/resolve/main/qwenimage21/vae/diffusion_pytorch_model.safetensors
- Command line
-
hf download hf://greyDonald/HumanAwareDesignGeneration/qwenimage21/vae/diffusion_pytorch_model.safetensors
-
curl -L -o diffusion_pytorch_model.safetensors https://huggingface.co/greyDonald/HumanAwareDesignGeneration/resolve/main/qwenimage21/vae/diffusion_pytorch_model.safetensors
1.35 GB
- Xet hash:
- f5c2a5afaff02033b4b7d73489ae6cc1e5284c3b48664200e23c38e80644ee4c
- Size of remote file:
- 1.35 GB
- SHA256:
- a07a1b7c4ee2966a1b3bdc37de9b4f983d56937e46619f709a80b6e490675417
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