Instructions to use nthh/nerd with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use nthh/nerd with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("nthh/nerd", 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 unet/diffusion_pytorch_model.bin from nthh/nerd: direct link, hf CLI and curl.
- Browser
- Download file 3.44 GB
-
https://huggingface.co/nthh/nerd/resolve/main/unet/diffusion_pytorch_model.bin
- Command line
-
hf download hf://nthh/nerd/unet/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/nthh/nerd/resolve/main/unet/diffusion_pytorch_model.bin
3.44 GB
- Xet hash:
- b1d45c3e6ec59a03473e931c23ded59f1044cb381e8f3781d527f78e39c3c8f8
- Size of remote file:
- 3.44 GB
- SHA256:
- 4bf1ac86dd241d09ca786f10bd70015da981585b0e46eca0371cc1305d0f1ca9
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