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
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.safetensorsvoid_pass2.safetensors
Text Encoder
Copy the text encoder files to:
models/text_encoders/void/
Files:
config.jsonmodel-00001-of-00002.safetensorsmodel-00002-of-00002.safetensorsmodel.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/
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/
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