Instructions to use briannlongzhao/smile_custom_diffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use briannlongzhao/smile_custom_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("briannlongzhao/smile_custom_diffusion", dtype=torch.bfloat16, device_map="cuda") prompt = "a painting of <smile> style" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download checkpoint-250/pytorch_model.bin from briannlongzhao/smile_custom_diffusion: direct link, hf CLI and curl.
- Browser
- Download file 102 MB
-
https://huggingface.co/briannlongzhao/smile_custom_diffusion/resolve/main/checkpoint-250/pytorch_model.bin
- Command line
-
hf download hf://briannlongzhao/smile_custom_diffusion/checkpoint-250/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/briannlongzhao/smile_custom_diffusion/resolve/main/checkpoint-250/pytorch_model.bin
102 MB
- Xet hash:
- 28a95852e5574a867b1d6140d3b747f1bc18fdd55df932ab06e6bbd10e6f8aab
- Size of remote file:
- 102 MB
- SHA256:
- c9313b1892b0f63a0ff08f359cc8d8e4e537025d41b705dfddc097854d5dabfa
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.