Instructions to use Andyrasika/avatar_diffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Andyrasika/avatar_diffusion with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Andyrasika/avatar_diffusion", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Transformers
How to use Andyrasika/avatar_diffusion with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Andyrasika/avatar_diffusion", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download unet/diffusion_pytorch_model.bin from Andyrasika/avatar_diffusion: direct link, hf CLI and curl.
- Browser
- Download file 3.46 GB
-
https://huggingface.co/Andyrasika/avatar_diffusion/resolve/main/unet/diffusion_pytorch_model.bin
- Command line
-
hf download hf://Andyrasika/avatar_diffusion/unet/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/Andyrasika/avatar_diffusion/resolve/main/unet/diffusion_pytorch_model.bin
3.46 GB
- Xet hash:
- dc104b4667947f28f23a0e5c033609b65a83b0a5da2c6d1288bab2ba1025f30d
- Size of remote file:
- 3.46 GB
- SHA256:
- 13f8d910b5fb0442151ca8d42544fd12e75c34fb45c2a8d685421b9728680d94
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