### Install Project Requirements

Source: https://github.com/jackailab/consistentid/blob/main/README.md

Installs the necessary Python packages for the ConsistentID project using pip and a conda environment. Ensure you have Anaconda or Miniconda installed.

```bash
conda create --name ConsistentID python=3.8.10
conda activate ConsistentID
pip install -U pip

# Install requirements
pip install -r requirements.txt
```

--------------------------------

### Run Inpaint Demo

Source: https://github.com/jackailab/consistentid/blob/main/README.md

Launches the inpainting demo for ConsistentID. This command is run from the project's root directory.

```bash
python -m demo.inpaint_demo
```

--------------------------------

### Run Inpaint Controlnet Demo

Source: https://github.com/jackailab/consistentid/blob/main/README.md

Launches the inpainting demo with ControlNet support for ConsistentID. This command is run from the project's root directory.

```bash
python -m demo.controlnet_demo
```

--------------------------------

### Train ConsistentID Model

Source: https://github.com/jackailab/consistentid/blob/main/README.md

Executes the training script for the ConsistentID model. Ensure the workspace is set to the project's root directory before running.

```bash
bash train_bash.sh
```

--------------------------------

### Run Inference

Source: https://github.com/jackailab/consistentid/blob/main/README.md

Performs inference using the trained ConsistentID model. Ensure the workspace is set to the project's root directory before running.

```bash
python infer.py
```

--------------------------------

### Download Model Weights

Source: https://github.com/jackailab/consistentid/blob/main/README.md

Downloads the ConsistentID model weights from Hugging Face Hub. This Python code snippet can be used to fetch the model parameters.

```python
from huggingface_hub import hf_hub_download
ConsistentID_path = hf_hub_download(repo_id="JackAILab/ConsistentID", filename="ConsistentID-v1.bin", repo_type="model")
```

=== COMPLETE CONTENT === This response contains all available snippets from this library. No additional content exists. Do not make further requests.