Instructions to use 24aittl/seg-new with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use 24aittl/seg-new with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("24aittl/seg-new", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download vae/diffusion_pytorch_model.bin from 24aittl/seg-new: direct link, hf CLI and curl.
- Browser
- Download file 383 MB
-
https://huggingface.co/24aittl/seg-new/resolve/main/vae/diffusion_pytorch_model.bin
- Command line
-
hf download hf://24aittl/seg-new/vae/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/24aittl/seg-new/resolve/main/vae/diffusion_pytorch_model.bin
383 MB
- Xet hash:
- 40cc9627a9825005ed3c1ad154269f39d75b888deffe0817dbc05df2128dee8a
- Size of remote file:
- 383 MB
- SHA256:
- 7780c65889efec7509da5eff0e3ec7624a8d8b5f10cfa083ad5d9ffc66120aae
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