Any-to-Any
Transformers
Diffusers
Safetensors
text-to-image
image-editing
image-understanding
vision-language
multimodal
autoregressive
unified-model
Instructions to use Skywork/UniPic2-SD3.5M-Kontext-2B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Skywork/UniPic2-SD3.5M-Kontext-2B with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Skywork/UniPic2-SD3.5M-Kontext-2B", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download teaser.png from Skywork/UniPic2-SD3.5M-Kontext-2B: direct link, hf CLI and curl.
- Browser
- Download file 6.6 MB
-
https://huggingface.co/Skywork/UniPic2-SD3.5M-Kontext-2B/resolve/main/teaser.png
- Command line
-
hf download hf://Skywork/UniPic2-SD3.5M-Kontext-2B/teaser.png
-
curl -L -o teaser.png https://huggingface.co/Skywork/UniPic2-SD3.5M-Kontext-2B/resolve/main/teaser.png
6.6 MB

- Xet hash:
- e46ec37a6a1569913a4c6381bac841d94f690707b318cb68533b8c1e6ad75778
- Size of remote file:
- 6.6 MB
- SHA256:
- 86f66f58560abc4ca3657b5e481628fbf55718b5ef29306cd116deb116c7811c
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.