Instructions to use RyanWW/KeyVID with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use RyanWW/KeyVID with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("RyanWW/KeyVID", torch_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
| # 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 | |
| ``` | |