🛠️ Flux Kontext Manual Download Guide

This guide walks you through the manual setup for the Flux Kontext workflow. For the best experience, right-click any file link and choose "Save Link As..." into the specified folder.

⚡ Want the easy route?

Just use the one-click installer. It sets everything up automatically (models, nodes, dependencies).

This manual guide is only here in case you're on unsupported hardware or want full control.

✅ If you're using ComfyUI Desktop, you're fully supported.

📦 Custom Nodes

Open a terminal inside the custom_nodes/ folder and run:

git clone https://github.com/Maxed-Out-99/ComfyUI-MaxedOut.git

git clone https://github.com/Maxed-Out-99/ComfyUI-SmartModelLoaders-MXD.git

This installs the custom nodes.

🔧 Install Node Requirements

Now activate your virtual environment to install Python dependencies.

Windows:

.venv\Scripts\activate

Mac:

.venv/bin/activate

Then install the node requirements:

python -m pip install -r custom_nodes/ComfyUI-SmartModelLoaders-MXD/requirements.txt

That’s it. ✅

💾 Core Files

💾 Right-click any file link → choose "Save Link As..." → Save into the specified folder inside ComfyUI/models/

• ae.safetensors ➡️ vae/

• clip_l.safetensors ➡️ clip/

⚠️ You can optionally download a quantized Nunchaku model for faster performance on NVIDIA GPUs only:

• RTX 50 series: svdq-fp4_r32-flux.1-kontext-dev.safetensors ➡️ diffusion_models/

• All other NVIDIA GPUs: svdq-int4_r32-flux.1-kontext-dev.safetensors ➡️ diffusion_models/

📎 CLIP & T5 Models

Select ONE T5 model based on your system's RAM (not VRAM) and place into models/clip/.

• Tier A (32GB):

  • t5xxl_fp16.safetensors

• Tier B (16 GB):

  • t5xxl_fp8_scaled.safetensors

• Tier C (Less than 16 GB):

  • t5xxl_Q5_K_M.gguf

🧠 UNet Models

Choose one UNet model based on your GPU VRAM. Save into models/diffusion_models/.

• 🔶 Tier S (32GB VRAM): FP16

  • flux1-kontext-dev.safetensors

• 🔶 Tier A (16GB - 31GB VRAM): FP8

  • flux1-dev-kontext_fp8_scaled.safetensors

• 🔶 Tier B (12GB - 15GB VRAM): Good Quality (GGUF Q5)

  • flux1-kontext-dev-Q5_K_M.gguf

• 🔶 Tier C (Less than 12GB VRAM / Apple Silicon / CPU): VRAM Optimized (GGUF Q3)

  • flux1-kontext-dev-Q3_K_S.gguf

✅ Done!

Once you've:

• Downloaded your models,

• Selected one UNet + one T5 tier,

• Placed everything into the correct folders,

• Installed my nodes and their requirements,

You're ready to run the Flux Kontext workflow manually 🎉

Enjoy! And if you're stuck, you can always fall back to the one-click installer.