---
title: "SD 3.5 Large Automated Seed Batch Queue in ComfyUI — Node Wiring & Settings"
description: "Complete ComfyUI workflow route for SD 3.5 Large paired with Automated Seed Batch Queue (queuing 20–100 prompt variations overnight on Windows). Loader: Load Checkpoint + TripleCLIPLoader, VRAM target: 12 GB+."
canonical: https://comfy.ink/routes/sd35-batch-queue
updated: 2026-10-17
---

# SD 3.5 Large: Automated Seed Batch Queue in ComfyUI

Blueprint for queuing 20–100 prompt variations overnight on Windows with SD 3.5 Large (12 GB+ VRAM) using Primitive Seed (increment) → Instant Queue / Batch Count → Save Image with date prefix.

## Facts (2026-10-17)

- **Model Architecture:** SD 3.5 Large
- **Workflow Task:** Automated Seed Batch Queue
- **VRAM Requirement:** 12 GB+
- **Primary Loader:** Load Checkpoint + TripleCLIPLoader
- **Model Directory:** models/checkpoints/

## Node graph blueprint: SD 3.5 Large × Automated Seed Batch Queue

This route pairs **SD 3.5 Large** with a **Automated Seed Batch Queue** setup designed for queuing 20–100 prompt variations overnight on Windows. Place your model weights in `models/checkpoints/` and start the graph with **Load Checkpoint + TripleCLIPLoader**.

Core wiring chain: `Primitive Seed (increment) → Instant Queue / Batch Count → Save Image with date prefix`. Connect your positive and negative conditioning from [CLIP Text Encode](https://comfy.ink/nodes/clip-text-encode) into [KSampler](https://comfy.ink/nodes/ksampler) and decode to RGB pixels.

## VRAM tuning and execution tips on Windows

- **Memory target (12 GB+):** If your GPU sits at 8 GB or 12 GB, use FP8 or GGUF Q4/Q5 weights and swap in [VAE Decode (Tiled)](https://comfy.ink/nodes/vae-decode-encode) to avoid end-of-pass memory spikes.
- **Workflow persistence:** Every image saved by this route embeds the full JSON graph inside the PNG metadata — drag the output back onto [ComfyUI Studio](https://comfy.ink/studio) anytime to resume.
- **Get the app:** Download the Windows desktop or portable build from [/download](https://comfy.ink/download).

## FAQ

### Which loader node do I use for SD 3.5 Large in a Automated Seed Batch Queue?

Use `Load Checkpoint + TripleCLIPLoader` with weights stored in `models/checkpoints/`, then wire the output into `Primitive Seed (increment) → Instant Queue / Batch Count → Save Image with date prefix`.

### How much VRAM does SD 3.5 Large need for Automated Seed Batch Queue?

Target VRAM is 12 GB+. On 8 GB cards, load quantized FP8 or GGUF weights and enable tiled VAE decoding.

## Related

- [ComfyUI Model & Task Routes](https://comfy.ink/routes)
- [ComfyUI Models & Checkpoints](https://comfy.ink/models)
- [KSampler & KSampler (Advanced)](https://comfy.ink/nodes/ksampler)
- [ComfyUI VRAM Requirements for SDXL, Flux & Video (6GB–24GB)](https://comfy.ink/guides/comfyui-vram-requirements-guide)
- [Flux.1: Text-to-Image Graph in ComfyUI](https://comfy.ink/routes/flux-txt2img-workflow)

## Download

Free desktop app: [Download Comfy](https://comfy.ink/download)

Markdown mirror: https://comfy.ink/routes/sd35-batch-queue.md