Instructions to use jaski055/ComfyUI-NetflixVoid with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use jaski055/ComfyUI-NetflixVoid with Diffusers:
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] - Notebooks
- Google Colab
- Kaggle
| 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/ | |
| βββ models/ | |
| β βββ checkpoints/ | |
| β β βββ void_pass1.safetensors | |
| β β βββ void_pass2.safetensors | |
| β βββ text_encoders/ | |
| β β βββ void/ | |
| β β βββ config.json | |
| β β βββ model-00001-of-00002.safetensors | |
| β β βββ model-00002-of-00002.safetensors | |
| β β βββ model.safetensors.index.json | |
| β βββ vae/ | |
| β βββ diffusion_pytorch_model.safetensors | |
| βββ custom_nodes/ | |
| βββ ComfyUI-NetflixVoid/ | |
| ``` | |