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FLUX.2 Klein 9B — Ultimate 6-in-1 Workflow (Face Swap · Inpaint · Auto-Mask · NAG · Refine · Upscale) — 8GB VRAM

Type

Workflows

Stats

257

0

Reviews

Published

Apr 14, 2026

Base Model

Flux.2 Klein 9B

The FLUX.1 [dev] Model is licensed by Black Forest Labs. Inc. under the FLUX.1 [dev] Non-Commercial License. Copyright Black Forest Labs. Inc.

IN NO EVENT SHALL BLACK FOREST LABS, INC. BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH USE OF THIS MODEL.

FLUX.2 Klein 9B — Ultimate All-in-One ComfyUI Workflow v2.0

90 nodes · 6 pipelines · 12 organized groups · 8GB VRAM compatible

One workflow file. Everything you need. No more switching between different JSON files for different tasks.


6 Pipelines in 1 Workflow

PipelineWhat It Does🎨 F1: Text → ImageStandard txt2img at 1024×1024🖼️ F2: Single-Reference KV EditEdit specific elements while preserving everything else🚀 F3: Face + Pose SwapTake a face from Image A + pose from Image B → combine realistically🎭 F4: InpaintingManual mask or AI auto-masking → regenerate only masked area🔀 F5: Image MergeBlend two images with adjustable ratio✨ RefinerDetail enhancement, lighting correction, skin texture improvement

Built-in Features

  • 🧭 NAG (Normalized Attention Guidance) — Negative prompts that actually work on distilled Flux

  • 🤖 Florence2 Auto-Masking — Type what to mask ("Segment the shirt") → pixel-perfect mask

  • ⬆️ 4x UltraSharp Upscaler — Clean upscaling with detail preservation

  • 🔷 Tiled VAE Decode — All VAE decodes are tiled to prevent OOM on 8GB VRAM

  • 🔗 2-Slot LoRA Chain — Enhancer LoRA always last, add your own LoRAs in the empty slot

  • 📋 Built-in Guide Notes — Download links, prompting tips, and troubleshooting right inside the workflow

Hardware Requirements

  • Minimum: 8GB VRAM (RTX 3060/4060/4070 with GGUF Q4 model)

  • Recommended: 10-12GB VRAM (RTX 3080/4070 Ti with FP8 model)

  • RAM: 16GB+

  • ComfyUI: Version 0.9.2 or newer

Models You Need

Diffusion Model (pick one):

  • FP8: flux-2-klein-9b-fp8.safetensorsDownload

  • GGUF Q4 (8GB VRAM): → Download

Text Encoder:

  • qwen_3_8b_fp8mixed.safetensorsDownload

VAE:

Upscale Model:

LoRA:

Custom Nodes (install via ComfyUI Manager):

  • rgthree-comfy (Image Comparer)

  • ComfyUI-Florence2 by kijai (auto-masking, optional)

  • ComfyUI-GGUF by city96 (only if using GGUF models)

How to Use

  1. Load the JSON in ComfyUI

  2. use comphyui manager to install any missing node. ( critical step )

  3. Only the Refiner is active by default — everything else is bypassed

  4. To activate a pipeline: right-click its group header → Set Nodes Mode → Always Execute

  5. To deactivate: right-click → Set Nodes Mode → Bypass ( or bypass groupe nodes )

  6. Read the built-in Note nodes for prompting tips and download links

Prompting Tips

FLUX.2 Klein reads prompts like a novelist, NOT like Stable Diffusion.

Use: Subject → Setting → Details → Lighting → Technical terms

Power words: clean digital file, histogram equalization, gamma correction, studio strobe, shot on Canon EOS R5

Avoid: beautiful, masterpiece, best quality, trending on artstation

For text in images: Put text in quotes → A sign reading "HELLO"

Troubleshooting

  • OOM: Already using Tiled VAE. Try GGUF Q4 model if still crashing

  • Black images: Wrong text encoder. 9B needs Qwen3 8B, not 4B

  • Plastic faces: Make sure enhancer LoRA is active (strength 0.7)

  • NAG not working: Install ComfyUI-NAG custom node as alternative


Built and tested on RTX 4060 Mobile (8GB VRAM). If you have issues, leave a comment — I'll help you fix it.

If this workflow is useful to you, please leave a review — it helps others find it.

VERSION HISTORY:

  • v2.0 — Initial public release. 90 nodes, 6 pipelines, NAG, Florence2, Tiled VAE.