u/Delicious-Farmer-234

Update: I posted this MCP open-source project last week. Since then, I've added video generation and Qwen-Image-2.1 Turbo. No silly ComfyUI here.

https://github.com/hypersniper05/MCP-Image-Generator-Uncensored

Qwen-Image-2.1 Turbo runs on as little as 4GB of VRAM (tested on a GTX 1650; it works, but slow. A newer GPU should be faster). With 8GB of VRAM you get better speeds, and you can even run the video model, Kandinsky 6 Lite. It's a 3B-parameter model, so don't expect quality on par with MiniMax-H3.

I tried to make the installation as painless as possible, and it can use multiple GPUs if you have them.

Here's what your LLM can create for you via the MCP:

Core Qwen-Image-2.1 feature

• Text to image
• Image editing (combine up to 10 images, restore and colorize old photos)
• Text in images
• 360° panoramas

Extra tools for your LLM:

• Watermark removal (LoRA)
• Texture-fix VAE
• 2x / 4x upscaler (ESRGAN, up to 8192 px)
• 360° viewer with Pannellum (the client gets the image plus a ready-to-open 360 viewer link)
• SVG creation with VTracer
• Background removal with BiRefNet
• Transparent PNG creation
• Seamless tiles, including height and normal maps
• 5- to 20-second videos with sound (5-second clips stitched together)
• Transparent video animations from your images (alpha channel)
• GIFs from videos and animations

MCP internal features:

• HTTP Streamable
• Multi-Job queue, streaming jobs 1 at a time for systems with VRAM constraints
• Flexible input: URL, server path, or upload
• Gallery web UI to manage your media
• Start, Stop, Update, and Setup scripts for non-techie users
• 16 Tools in total
• Read more in the link above

All attributions are in the repo. TODO: add an option for MiniMax-H3! and Trellius 2 (Image to 3D). Thanks!

https://github.com/hypersniper05/MCP-Image-Generator-Uncensored

Just wanted to share with you guys my workflow converted into an MCP. It's a Qwen Image 2.1 Uncensored MCP with a few extra models I found helpful: a watermark-removal LoRA, a texture-fix VAE and an ESRGAN upscaler. Any LLM client that supports MCP can drive it. Uses 11GB VRAM at peak usage.

The entire stack has:
- Normal Qwen Image 2.1 image generation in all supported sizes (up to 2K), panoramas, and image editing (up to 10 input images)

- Seamless tile generation, and edits of a tile stay seamless too, so you can make height and normal maps for game textures

- 2x/4x upscaling, up to 8K

- Built-in 360 viewer (the LLM gets a URL that opens the panorama in the viewer)

- Watermark removal

- Transparent backgrounds (real RGBA PNGs) and background removal

- Text in images (quoted text comes out as written)

It runs in Docker on an NVIDIA GPU (the whole stack fits on a 12 GB card) or on the CPU (very slow), downloads the models on first start, and works with any MCP client (llama.cpp web UI, VS Code, Cursor, etc.).

For the seamless tiles I use stable-diffusion.cpp's circular mode with a tiny patch so it can be turned on per request. The tiles come out seamless in one pass instead of patching the seams afterwards.

Note: Project created with the help of Claude. A lot of testing, and back and forth to get things to work smoothly. Hope someone finds it useful.