ComfyUI NetflixVoid

--- license: other tags: - comfyui - image-generation - quantized-model - void - netflixvoid - pq5 library_name: diffusers --- # NetflixVoid PQ5 for ComfyUI-NetflixVoid This repository provides the `pq5` quantized release of **Void** for use with **ComfyUI-NetflixVoid**. Node implementation: https://github.com/jaskirat05/ComfyUI-NetflixVoid ## Overview This model package is intended for users running the Void workflow through the ComfyUI-NetflixVoid node implementation. It includes the quantized transformer checkpoints and is designed for local inference on supported hardware. ## Requirements - Minimum VRAM: `16 GB` ## Installation Place the model files into the corresponding ComfyUI directories shown below. ### Transformer Copy the transformer checkpoint files from the `transformer/` folder in this Hugging Face repository to: ```text models/checkpoints/ ``` Files: - `void_pass1.safetensors` - `void_pass2.safetensors` ### Text Encoder Copy the text encoder files to: ```text models/text_encoders/void/ ``` Files: - `config.json` - `model-00001-of-00002.safetensors` - `model-00002-of-00002.safetensors` - `model.safetensors.index.json` ### VAE Copy the VAE files to: ```text models/vae/ ``` File: - `diffusion_pytorch_model.safetensors` ## VLM Dependency This setup uses **Gemma 4** for VLM-based analysis. The dependency is downloaded automatically by the node implementation, so no manual installation is required for that component. ## Example Workflow Example workflows are available in the `examples` directory of the ComfyUI-NetflixVoid repository: https://github.com/jaskirat05/ComfyUI-NetflixVoid/tree/main/examples ## Related Repository Main implementation repository: https://github.com/jaskirat05/ComfyUI-NetflixVoid ## Credits PQ5 quantization credit goes to **caiovicentino1** for the related Hugging Face release: https://huggingface.co/caiovicentino1/VOID-Netflix-HLWQ-Q5 ## Expected Directory Structure After downloading and placing all required files in the correct locations, your ComfyUI directory should look similar to this: ```text ComfyUI/ ├── models/ │ ├── checkpoints/ │ │ ├── void_pass1.safetensors │ │ └── void_pass2.safetensors │ ├── text_encoders/ │ │ └── void/ │ │ ├── config.json │ │ ├── model-00001-of-00002.safetensors │ │ ├── model-00002-of-00002.safetensors │ │ └── model.safetensors.index.json │ └── vae...

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