r/comfyui_elite

Link

Now with Inpainting, run grouping and native upscale!

What it is:

• Image first-generation studio
• Works without workflows with almost any model (no setup)
• Support for custom workflows
• Video gen, reference images, and inpainting all work without setup
• Smart grouping of your images by similar prompts
• Automatically installs missing components (VAE, text encoders, nodes) it knows
• Use it from your phone over LAN, with a fully custom mobile UI
• Favorites, search, prompt history, LoRA stacks, and advanced settings
• Built to be graceful and not scream at you with errors 24/7

It’s built by me, and in my opinion it’s the best way to use Comfy 80% of the time.

Setup is about 2 minutes: give it a try.

New in v0.17:

• Inpainting + Custom-built in-painting workflows (Beta)

• Auto-grouping. Pictures from similar prompts stack themselves into a photo stack or cover flow once you stop working on them.
• Within-generation Native upscale
• Phone View improvements
• Discord to discuss Heiss and AI generation (join pls; I need feedback)

Full notes: v0.17.0 changelog

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.