ComfyUI-NetflixVoid

ComfyUI-NetflixVoid

Custom ComfyUI nodes for the VOID workflow:

1. Stage 1: black mask
2. Stage 2: VLM prep + parse
3. Stage 3: grey mask
4. Stage 4: quadmask
5. Stage 5: modular PQ5 inference

Included nodes

• VOID Load SAM3 Model
• VOID Export Black Mask
• VOID Prepare VLM Analysis
• VOID Parse VLM Analysis
• VOID Build Grey Mask
• VOID Combine Quadmask
• VOID Gemma 4 E2B Video Prompt
• VOID PQ5 Load Model
• VOID PQ5 Settings
• VOID PQ5 Encode Prompt
• VOID PQ5 Encode Video
• VOID PQ5 Encode Quadmask
• VOID PQ5 Sampler
• VOID PQ5 Decode Video
• VOID PQ5 Unload Cache

PQ5 assets and models

This repo now uses a modular PQ5 layout.

Required locations:

• Transformer checkpoint: ComfyUI/models/checkpoints (select in VOID PQ5 Load Model)
• VAE checkpoint: ComfyUI/models/vae (select in VOID PQ5 Load Model)
• Text encoder folder: ComfyUI/models/text_encoders/void
• Repo-local PQ5 configs/tokenizer/scheduler: ComfyUI-NetflixVoid/pq5_assets

Recommended modular wiring (PQ5)

1. VOID PQ5 Load Model -> model
2. VOID PQ5 Encode Prompt with model + prompt text
3. VOID PQ5 Encode Video with model + input video
4. VOID PQ5 Encode Quadmask with quadmask video
5. VOID PQ5 Sampler with model, prompt embeds, encoded video, encoded quadmask, and settings
6. VOID PQ5 Decode Video with model, sampler latents, and original_frame_count

For pass 2:

• Load a second model using pass-2 checkpoint in VOID PQ5 Load Model
• Feed pass-1 output video into VOID PQ5 Encode Video
• Reuse/refine quadmask and run sampler+decode again

Notes

• VOID PQ5 Load Model has no fallback for missing checkpoint/VAE/text-encoder paths.
• Use VOID PQ5 Unload Cache to clear cached PQ5 pipelines and free memory.
• Keep grid_rows/grid_cols from VOID Prepare VLM Analysis connected to VOID Build Grey Mask.