How to use from the
Use from the
Diffusers library
pip install -U diffusers transformers accelerate
import torch
from diffusers import DiffusionPipeline

# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("jaski055/ComfyUI-NetflixVoid", dtype=torch.bfloat16, device_map="cuda")

prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
image = pipe(prompt).images[0]

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:

models/checkpoints/

Files:

  • void_pass1.safetensors
  • void_pass2.safetensors

Text Encoder

Copy the text encoder files to:

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:

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:

ComfyUI/
β”œβ”€β”€ models/
β”‚   β”œβ”€β”€ checkpoints/
β”‚   β”‚   β”œβ”€β”€ void_pass1.safetensors
β”‚   β”‚   └── void_pass2.safetensors
β”‚   β”œβ”€β”€ text_encoders/
β”‚   β”‚   └── void/
β”‚   β”‚       β”œβ”€β”€ config.json
β”‚   β”‚       β”œβ”€β”€ model-00001-of-00002.safetensors
β”‚   β”‚       β”œβ”€β”€ model-00002-of-00002.safetensors
β”‚   β”‚       └── model.safetensors.index.json
β”‚   └── vae/
β”‚       └── diffusion_pytorch_model.safetensors
└── custom_nodes/
    └── ComfyUI-NetflixVoid/
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