Instructions to use tk93/V-Express with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use tk93/V-Express with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("tk93/V-Express", 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 reference_net.bin from tk93/V-Express: direct link, hf CLI and curl.
- Browser
- Download file 1.72 GB
-
https://huggingface.co/tk93/V-Express/resolve/d333da2b3aa58f82e8a22b0fffd4fd435c6da95b/reference_net.bin
- Command line
-
hf download hf://tk93/V-Express@d333da2b3aa58f82e8a22b0fffd4fd435c6da95b/reference_net.bin
-
curl -L -o reference_net.bin https://huggingface.co/tk93/V-Express/resolve/d333da2b3aa58f82e8a22b0fffd4fd435c6da95b/reference_net.bin
1.72 GB
- Xet hash:
- a8f790b977c1aced95e57e95b05072c68f263eec3d7b91ecfbb428d3114ede51
- Size of remote file:
- 1.72 GB
- SHA256:
- 0de01e098d2dc85c5c853d2ef9843a371e88650345bd58e34d39cf613f76f3d0
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.