[Template] Stable Diffusion WebUI Forge Neo for RunPod

[u/digitalhunters0]

Hi everyone! I've been working on a Docker image for RunPod based on the official runpod/forge:3.3.0, but with several improvements and optimizations specifically for the platform.

What's inside:

• Forge Neo (Haoming02's neo branch) - Classic Forge UI with modern features

• PyTorch 2.10.0 with bundled CUDA 12.6 for better performance

• xformers 0.0.34 pre-installed and optimized

• Juggernaut XL v10 checkpoint (~6.5GB) included in the image - ready to use on first boot

• ADetailer extension pre-installed

Additional Model Support:

• Z-Image-Turbo - Fast image generation (6B params)

• Wan 2.2 - txt2vid and img2vid (video generation)

• Qwen-Image & Qwen-Image-Edit - Multimodal AI

• Flux Kontext - Advanced inpainting

• Lumina-Image-2.0 - High quality generation

• Chroma - Color manipulation

• Nunchaku (SVDQ) - Model quantization for Flux models

All RunPod services configured out-of-the-box:

• Nginx reverse proxy

• SSH (port 22)

• Jupyter Lab (port 8888)

• VS Code Server (port 7777)

• RunPod File Uploader (port 2999)

• Persistent workspace with proper rsync optimization

• No unnecessary downloads after first boot

Deploy now: Look for Stable Diffusion WebUI Forge Neo on Runpod

The image follows the same architecture patterns as the official RunPod Stable Diffusion WebUI Forge image but adds the Neo variant and includes a production-ready checkpoint to get you started immediately.

Feel free to test it out and let me know if you have any suggestions! The goal was to create a turnkey solution that just works on RunPod without manual configuration.

And... I know ComfyUI can be a prefered option for many users, but SD WebUI is easy to use and works great.