---
title: "Flux.1 Text-to-Image Graph in ComfyUI — Node Wiring & Settings"
description: "Complete ComfyUI workflow route for Flux.1 paired with Text-to-Image Graph (clean base generation from positive and negative prompts). Loader: Load Diffusion Model + DualCLIPLoader, VRAM target: 8 GB–16 GB."
canonical: https://comfy.ink/routes/flux-txt2img-workflow
updated: 2026-10-17
---

# Flux.1: Text-to-Image Graph in ComfyUI

Blueprint for clean base generation from positive and negative prompts with Flux.1 (8 GB–16 GB VRAM) using EmptyLatentImage → KSampler → VAE Decode → Save Image.

## Facts (2026-10-17)

- **Model Architecture:** Flux.1
- **Workflow Task:** Text-to-Image Graph
- **VRAM Requirement:** 8 GB–16 GB
- **Primary Loader:** Load Diffusion Model + DualCLIPLoader
- **Model Directory:** models/unet/

## Node graph blueprint: Flux.1 × Text-to-Image Graph

This route pairs **Flux.1** with a **Text-to-Image Graph** setup designed for clean base generation from positive and negative prompts. Place your model weights in `models/unet/` and start the graph with **Load Diffusion Model + DualCLIPLoader**.

Core wiring chain: `EmptyLatentImage → KSampler → VAE Decode → Save Image`. 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 (8 GB–16 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 Flux.1 in a Text-to-Image Graph?

Use `Load Diffusion Model + DualCLIPLoader` with weights stored in `models/unet/`, then wire the output into `EmptyLatentImage → KSampler → VAE Decode → Save Image`.

### How much VRAM does Flux.1 need for Text-to-Image Graph?

Target VRAM is 8 GB–16 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: Image-to-Image Refinement in ComfyUI](https://comfy.ink/routes/flux-img2img-refiner)

## Download

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

Markdown mirror: https://comfy.ink/routes/flux-txt2img-workflow.md