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 model_ckpts/v-express/reference_net.pth from tk93/V-Express: direct link, hf CLI and curl.
- Browser
- Download file 1.72 GB
-
https://huggingface.co/tk93/V-Express/resolve/refs%2Fpr%2F1/model_ckpts/v-express/reference_net.pth
- Command line
-
hf download hf://tk93/V-Express@refs/pr/1/model_ckpts/v-express/reference_net.pth
-
curl -L -o reference_net.pth https://huggingface.co/tk93/V-Express/resolve/refs%2Fpr%2F1/model_ckpts/v-express/reference_net.pth
1.72 GB
- Xet hash:
- f20e39b0de5b3410c55b2009f4e6cf4ded3b4284d25f4341f3291e023b061991
- Size of remote file:
- 1.72 GB
- SHA256:
- ea1ffee93375a6c78b7e6dc556d83b1fd86085448de8acfb601da28f731ef70b
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