Instructions to use matgu23/ntrlph with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use matgu23/ntrlph with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("matgu23/ntrlph", 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 matgu23/ntrlph: direct link, hf CLI and curl.
- Browser
- Download file 3.44 GB
-
https://huggingface.co/matgu23/ntrlph/resolve/main/unet/diffusion_pytorch_model.bin
- Command line
-
hf download hf://matgu23/ntrlph/unet/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/matgu23/ntrlph/resolve/main/unet/diffusion_pytorch_model.bin
3.44 GB
- Xet hash:
- d751e5fbb1c1f376649a80cb7b8677f1371b70f26e6bec131237dca7894f603f
- Size of remote file:
- 3.44 GB
- SHA256:
- e3be54767e5057ed8750e2fb7075565b88dd611d9cf7a15afc5b74924c69a578
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.