Instructions to use tencent/HunyuanImage-3.0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tencent/HunyuanImage-3.0 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("tencent/HunyuanImage-3.0", trust_remote_code=True, device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from tencent/HunyuanImage-3.0: direct link, hf CLI and curl.
- Browser
- Download file 25 MB
-
https://huggingface.co/tencent/HunyuanImage-3.0/resolve/refs%2Fpr%2F6/tokenizer.json
- Command line
-
hf download hf://tencent/HunyuanImage-3.0@refs/pr/6/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/tencent/HunyuanImage-3.0/resolve/refs%2Fpr%2F6/tokenizer.json
25 MB
- Xet hash:
- b4c46e23610f90135843f2b4e0c9ef9b6596e7803dafa8cced025bb267b52126
- Size of remote file:
- 25 MB
- SHA256:
- f804f2be631f905a30f98f89c141abe1bbd3f916e1cda1e1563bb5dccd347b52
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.