File size: 1,421 Bytes
d31d787 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 | # KeyVID (Hugging Face Hub)
This folder contains the **KeyVID** Hugging Face upload utilities and the model checkpoint files tracked via **Git LFS**.
## Links
- **Model repo**: `https://huggingface.co/RyanWW/KeyVID`
- **Dataset repo**: `https://huggingface.co/datasets/RyanWW/KeyVID_data`
## Usage
### Download the model (checkpoints) from Hugging Face
Option A — **Git LFS clone** (recommended for large files):
```bash
git lfs install
git clone git@hf.co:RyanWW/KeyVID
# or:
# git clone https://huggingface.co/RyanWW/KeyVID
```
Option B — **Python** download a single file:
```bash
pip install -U huggingface_hub
python -c "from huggingface_hub import hf_hub_download; print(hf_hub_download(repo_id='RyanWW/KeyVID', filename='keyframe_generation/generator_checkpoint.ckpt'))"
```
### Use the dataset from Hugging Face
Option A — **Python** (recommended):
```bash
pip install -U datasets
python -c "from datasets import load_dataset; ds = load_dataset('RyanWW/KeyVID_data'); print(ds)"
```
Option B — **Git LFS clone**:
```bash
git lfs install
git clone git@hf.co:datasets/RyanWW/KeyVID_data
# or:
# git clone https://huggingface.co/datasets/RyanWW/KeyVID_data
```
### Upload (from this repo)
```bash
pip install -U huggingface_hub
python upload_fast.py
# or:
python upload.py
```
To upload a different local folder, set:
```bash
export KEYVID_PATH=/path/to/KeyVID_folder
python upload.py
```
|