ComfyUI Extension: TBG_Enhanced Tiled Upscaler & Refiner FLUX PRO
About TBG Enhanced Tiled Upscaler and Refiner Pro! We at TBG Think. Build. Generate. Pro AI upscaling & image enrichment are excited to make our TBG Enhanced Tiled Upscaler and Refiner Pro available to you for free non-commercial use. We believe in empowering creators and innovators, which is why anything you create or generate using our software
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README
ComfyUI-TBG-ETUR: 100MP Enhanced Tiled Upscaler & Refiner FLUX Pro. Enhance Your Images with TBG's Upscaler
TBG_Enhanced Tiled Upscaler & Refiner FLUX PRO
!!! The 1.06 version has been tested on ComfyUI 0.3.49 !!!
Keep in mind this is still an alpha version, and we're updating and fine-tuning it daily. So do the same
Tutorials and highlights available at Youtube@TBG_AI).
Table of Contents
- Overview
- Early_Access
- Features
- Installation
- API_Access
- Usage
- TBG_Magnific_Magnifier_Node
- Update 1.06 alfa
Overview
Welcome to ComfyUI-TBG-ETUR repository! TBG Enhanced Tiled Upscaler and Refiner Pro! We at TBG Think. Build. Generate. AI upscaling & image enrichment are excited to make our TBG Enhanced Tiled Upscaler and Refiner Pro available to you.
Alpha Testing of PRO Features Now Available
We’re excited to announce that alpha testing of the PRO version is now live for our Patreon supporters and free community members!
Please help us to find all Bugs and open an issue here !!!
You can download the latest version of our software [here](https://github.com/Ltamann/ComfyUI-TBG-ETUR. !!! Note: This code is updated daily, so stay tuned for bug fixes !!!
Early_Access
Get early access by joining us at: https://www.patreon.com/TB_LAAR
The CE (Community Edition) nodes are free and standalone, suitable for any type of workflow. For access to some PRO features, a TB_LAAR Patreon membership is required. The free version is sufficient for testing and experimenting. Once you become a member, you can obtain your API key: https://api.ylab.es/login.php
Features
TBG Enhanced Tiled Upscaler and Refiner Pro is an advanced, modular enhancement suite for tiled image generation and refinement in ComfyUI. It introduces neuro generative tile fusion, interactive tile-based editing, and multi-path processing pipelines designed for extreme resolution workflows up to but not limitet to 100MP, high fidelity, and adaptive post-generation control.
- AI Image Enhancement: Applies advanced algorithms to improve visual quality.
- High-Resolution Generation: Creates images with greater clarity and fine detail.
- Image Polishing: Enhances visuals for a smooth, finished appearance.
- Neuro-Generative Tile Fusion: Seamlessly fuses image tiles into a coherent whole.
- User-Friendly Interface: CE version built for straightforward and intuitive use, Pro version offers advanced customization.
1. New Fusion Techniques
TBG Enhanced Tiled Upscaler and Refiner Pro introduces tree next-generation tile fusion processes that go far beyond traditional blending:
Smart Merge CE
Choose between adaptive blending strategies compatible with common upscalers like USDU,and others. It intelligently handles tile compositing recommended for low denoise workflows. A quick and solid method for getting consistent, high-quality upscales but limited in x factor.
PRO Tile Diffusion
A novel approach where each tile is generated while considering surrounding tile information — perfect for mid-denoise levels. This enables:
- Context-aware detail consistency
- Smooth transitions across tile borders
- Better handling of textures and patterns
- Better color consistency between Tiles An intermediate option ideal for consistent upscales, focusing all processing on the original image to stay as close as your settings allow. Best used with mid-scale freedom for steady refinement, minimizing hallucinations. For optimal results, keep creativity or denoise below 0.5.
PRO Neuro-Generative Tile Fusion (NGTF)
An advanced generative system that remembers newly generated surroundings and adapts subsequent sampling steps accordingly. This makes high-denoise tile refinement possible while maintaining:
- Global consistency / color / strukture/ now need vor blended borders / no seams
- Sharp, coherent details
- Memory of contextual relationships across tiles
- Adds the possibility to generate tiled ultra high res images
- Seamless result's while adding high amount of new details and creative freedom. Ideal for transforming your image into something new and elevated, without simply recreating what was already there.
2. Design Suite
TBG_Enhanced isn’t just about quality — it’s about flexible, curated, and controlled image refinement, where the art director guides the outcome, not the algorithm.
One-Tile Preview & Smart Presets
Quickly generate single-tile previews to fine-tune the right settings before running the full job. Presets adapt intelligently to image dimensions and desired resolution.
Post-Sampling Tile Correction
You can resample only the tiles you don’t like — no need to regenerate the full image. This allows:
- Precision editing
- Fixing small errors without full reprocessing
Resume Tile Refinement
Modify or refine individual tiles days later while keeping the original input image and final result. The system supports:
- Saved all single tiles for postproduction
- Re-injection of noise and conditioning over single tiles
3. Pipeline Structure
TBG_Enhanced is powered by a flexible pipeline architecture built around tile-aware processing paths:
TBG Tile Prompter Pipe
Access prompt and denoise settings per tile. Enables:
- Per-tile Promt editing
- Denoising strength by tile
TBG Tile Enrichment Pipe
Control multiple sampling and model-level features:
- Model-side: Use DemonTools for additional detail creation
- Sampler-side: Inject custom noise at specific steps, or apply a noise injection curves to enhance you image in a more creative way.
- Sampler-internal: Enable per-step sampler-side noise injection eta - gives rhe sampler on each step new addition noise to keep reinventing and defining detail
- Built-in noise reduction: A preprocessing step that softly blurs the image before refinement begins, allowing the model more freedom to generate improved results—especially on broken, noisy, overly sharp, or imperfect inputs.
- Optional tile up/downscaling during sampling to scale higher detailed content and extra sharp final image results
ControlNet Pipe
Tiled generation now supports unlimited ControlNet inputs per tile, unlocking:
- High-resolution conditioning
- Fine-grained control for large images
- Targeted structure, depth, edge, pose, or segmentation maps for each region
Status and Roadmap
- Fusion Techniques: Smart Merge, Tile Diffusion, NGTF
- Post-editing Tools: One-tile preview, correction, resume-refine
- Pipelines: Prompt / Enrichment / ControlNet Pipes
- Upcoming: Full integration with custom samplers and DreamEdit compatibility
Installation
To install the TBG Enhanced Tiled Upscaler and Refiner Pro, follow these steps:
Install from Comfyui Manager:
- Open Manager (In the "config.ini" file located in the ComfyUI\custom_nodes\ComfyUI-Manager\ folder, make sure the security_level is set to weak if it's not already done.)
- select Install missing custom nodes
- select Install via Git URL
- copy and paste this url: https://github.com/Ltamann/ComfyUI-TBG-ETUR
- Install and Restart ComfyUI
- Download LLM models from https://github.com/deepseek-ai/Janus?tab=readme-ov-file#janus-pro
Janus-Pro-1B and or Janus-Pro-7B
copy Janus-Pro-1B to ...ComfyUI_344\ComfyUI_windows_portable\ComfyUI\models\Janus-Pro\Janus-Pro-1B
copy Janus-Pro-7B to ...ComfyUI_344\ComfyUI_windows_portable\ComfyUI\models\Janus-Pro\Janus-Pro-7B\
Manual Install:
- Download the Software: https://github.com/Ltamann/ComfyUI-TBG-ETUR
- Unpack and Copy to folder: ..\ComfyUI\custom_nodes\
- Install requirements: ..\ComfyUI\custom_nodes\ComfyUI-TBG-ETUR\pip install -r requirements.txt
- Download LLM models from https://github.com/deepseek-ai/Janus?tab=readme-ov-file#janus-pro
Janus-Pro-1B and or Janus-Pro-7B
copy Janus-Pro-1B to ...ComfyUI_344\ComfyUI_windows_portable\ComfyUI\models\Janus-Pro\Janus-Pro-1B
copy Janus-Pro-7B to ...ComfyUI_344\ComfyUI_windows_portable\ComfyUI\models\Janus-Pro\Janus-Pro-7B\
API_Access
If you like to test the PRO feachers get early access by joining us at:
- joining us at: https://www.patreon.com/TB_LAAR
- get your API key from here: https://api.ylab.es/login.php
- add environment variables using TBG_ETUR_API_KEY = your api key
You can paste the API key directly into the TBG Tiler node, but keep in mind that doing so will embed it into your images and workflow metadata, making it easy to share unintentionally. For better security, consider adding the key to your environment variables using TBG_ETUR_API_KEY instead.
Usage
check https://youtu.be/fyQRj5nv1IE
Recommended Workflow: Do your setup and testing with PRO features turned OFF, and only enable them for the final steps of your workflow.
Thank you for your support and happy tiling!
Topics
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ai-image-processing
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ai-upscaler
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comfyui
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comfyui-node
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comfyui-nodes
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high-resolution
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image-refinement
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image-upscaling
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neuro-generative-tile-fusion
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stable-diffusion
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tbg-enhanced-tiled-upscaler-and-refiner-pro
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tiled-upscaling
TBG_Magnific_Magnifier_Node PRO members Nodes
The TBG Magnific Magnifier node is an advanced yet simple-to-use enhancement tool designed for tiled image generation and refinement within ComfyUI. It uses cutting-edge neuro-generative tile fusion and multi-path processing pipelines tailored for extreme resolution workflows — supporting images up to (but not limited to) 100 megapixels with high fidelity or high freedom.
The TBG Magnific Magnifier enables multi-step automatic upscaling with very simple, easy-to-use settings like Creativity, Reassemblance, Fractality, and Inventivity, giving users powerful control without complexity.
Key Features
-
AI Image Enhancement
Applies advanced algorithms to significantly improve image visual quality. -
High-Resolution Generation
Produces images with exceptional clarity and fine detail, even at ultra-high resolutions. -
Image Polishing
Smooths and refines visuals for a clean, professional finish. -
Neuro-Generative Tile Fusion
Seamlessly fuses tiled images into a coherent, artifact-free whole. -
User-Friendly Interface
The CE (Community Edition) offers straightforward and intuitive controls, while the PRO version provides extensive customization options for advanced users.
Parameter Overview
🔹 Fractality
A tile size multiplier controlling detail randomness during upscaling.
- Lower values: introduce more randomness and abstract patterns.
- Higher values: retain more of the original image’s structure.
Impact:
Fractality determines how much fractal-like detail is generated.
⚠️ Higher values require exponentially more GPU memory!
My test settings require around 28GB VRAM during the refinement pass.
If you're not using an RTX 5090, consider lowering Fractality, turning off the refinement pass, or using GGUF/optimization techniques to reduce VRAM usage.
🔹 Creativity
Controls the balance between faithful detail preservation and creative freedom.
- Lower values: yield consistent, refined results that closely follow the input.
- Higher values: allow for reinterpretation, abstract variations, and novel detail generation.
Impact:
Affects how "safe" or "imaginative" the upscale becomes.
Creativity is automatically scaled down during multi-step upscaling to maintain control.
🔹 Inventivity
Boosts micro-detail creation and enhances or invents textures.
- Adds realistic or artistic small-scale details that may not exist in the original.
- Particularly useful in low-resolution areas or flat surfaces.
Impact:
Inventivity enhances perceived richness in skin, fabric, nature, and more.
🧠 Tip: Prompt phrasing significantly affects Inventivity. In some cases, you may need to lower flux guidance to retain control.
🔹 Reassemblance (Anchor)
Connects structure consistency to ControlNet, Redux, and IPAdapter features.
- High values: strongly preserve original layout and mega-structures.
- Low values: allow for more freedom and restructuring.
Impact:
Guides structural consistency during multi-step upscaling.
Reassemblance dynamically adapts to Redux/ControlNet inputs.
🔹 Refinement Pass
An optional final step that enhances fine details after the upscale.
- Produces sharper, cleaner, more complete results.
- ⚠️ Requires significantly more GPU memory than standard steps.
Use with caution if you're on limited VRAM. Consider disabling it or optimizing other parameters to save memory.
The TBG ETUR Magnific Magnifier requires a Pro, Premium, or Unlimited membership. However, you can achieve the same results using the TBG Enhanced Upscaler and Refiner PRO with manual settings and a Free membership.
Update
1.06 alfa V1
Cleaned up vendor code to reduce namespace conflicts with the ComfyUI manager and custom nodes. Please note that the conflicts shown in the manager are pulled from a static list on the ComfyUI manager’s website and don’t necessarily reflect the actual code installed. I’m also unsure why this node is already listed in the manager’s custom node list, as I never registered it there.
Finetuned Inventivity of TBG Magnific Magnifier
In 1.0.5 versions, external custom nodes were required to inject noise into the sampling process. With the latest Rebuild Inventivity update, this is now integrated directly via the Inventivity
slider. The Inventivity
slider introduces dynamic noise behavior based on both the Inventivity and Denoise settings. It combines:
- Per-step latent noise injection
- Log-sigma manipulation at the model level
- A poly-exponential curve applied to the sigma tail for controlled creative deviation
The effect is non-linear, meaning low and high values produce very different results:
- Low Inventivity values (0.1–0.5):
Softens the output while enhancing subtle details. Useful for maintaining realism with light creative variation. - High Inventivity values (0.6–1.0+):
Sharpens the image and enhances crisp, bold features. Great for stylized results. Results change a lot depending on denoise and cnets ... You can also plug in aFloat
node to push theInventivity
value above1.0
if needed for more experimental outcomes.
TBG Magnific Magnifier's color correction is now responsive to the denoise setting: at high denoise levels, color correction is minimal or disabled; at low denoise levels, full color correction is applied.
TBG Magnific Magnifier now lets you switch between tiled and full-image refinement (full-image mode depends on your GPU memory and works fine for images up to around 3K resolution).
TBG Magnific Magnifier increments the seed for the next pass to prevent pattern overlays caused by using the same noise in all samples (only affects images that are refined without upscaling).
We’ve rebuilt the enrichment pipeline for TBG ETUR, which serves as the foundation for the inventiveness of the TBG Magnific Magnifier. This update introduces the Resharpener to improve image sharpness, a Creative Sigma Tail to boost creativity in later steps, and a remodified ETA value to inject noise into each sampling process. Activating this node will automatically switch the sampler to Euler Ancestral, or to RES2M if the RES4LYF node is installed. The upcoming Tile Upscale Plus will be available in two variations, one featuring a noise-reduction option that blurs input images before upscaling. Both versions upscale tiles in pixel space before sampling—by the specified factor—and then downsample after sampling to the chosen upscale resolution, resulting in finer detail and increased sampling time.
We removed the split-sigma noise injection and latent-space noise injection methods, as both can be used only fot soft-merge sampling. However, they are incompatible with Tile Fusion and Neuro-Generative Tile Fusion so we removed it from the UI.
working on now: testing and rebuilding workflows, searching for bug's ...
whats next: The ETUR denoise map input allows assigning custom denoise levels per object or mask using a grayscale map. This enables a new upscale behavior where you can define high-creativity regions and consistency-focused areas for both tiled and full-image upscales.
1.05 alfa V3
Resolved issues with membership recognition and ComputeUnit calculation Fixed guest user access issues Fixed CE node access for regular users Fixed an error in the TilerNode that occurred when the input image was smaller than the tile size Fixed EnhancementPipe — reduced dependency on external custom nodes by trimming features from DeamonTool and FinerDetails Fixed TBG Magnific Magnifier error related to missing installation of RES4LYF; temporarily replaced RES4LYF's ETA noise injection with DeamonTool
1.05 alfa V2
SDXL and negative conditioning support have been added to the TBG Magnific Magnifier.
1.05 alfa
Added the TBG Magnific Magnifier feature exclusively for Pro users.
Fixed bug causing shadow lines on the last tile rows.
Addressed and resolved all Groq-related bug reports.
We removed the cropped tile approach on the last column and last row — these smaller tiles produced less accurate results due to missing fusion information. Now, all tiles maintain the full tile size for better consistency.
1.04 alfa
New Feature: FLUX KONTEXT Integration in CNETpipe The biggest highlight is the introduction of FLUX KONTEXT, offering a fully adaptive context pipeline that chains and stiches with ControlNetPipe Depth and Canny.
Mask Attention Completely Overhauled Mask Attention has been rewritten from the ground up. It now works across both Pro and Community editions. A new border margin setting lets you fine-tune the mask's outer influence zone, and the segment sampling is now fully neuro-generative fusion capable, providing smoother, more organic blending between segments.
Fusion Fixes & Tile Improvements We've patched several bugs in the Neuro Generative Fusion and Tile Fusion systems. Some users experienced glitches when tile sizes and border areas overlapped teh fusion area - that’s now resolved. Expect cleaner results and better alignment.
Color Glitch Compensation Color artifacts caused by latent encode/decode are now handled much better. A new feature compensates for these VAE latent color glitches. It was generating faint lines along the tile joints when using high denoise settings.
LLM Switching: Janus 1B and Janus 7B Now Supported You can now choose your preferred LLM directly from the node interface. Currently supported: Janus 1B and Janus/B — with more coming soon.
Other Fixes and Tweaks Many small bugs and glitches reported by the community have been addressed — thank you for your feedback! This includes improvements to node stability, UI tweaks, and general robustness across the board.
Give it a spin and let me know how it works for you. Your feedback always helps shape the next version so don’t hesitate to reach out!
New Tile Cache We've updated the cache function for Soft Merge and Tile Fusion. You can now toggle the cache on or off at any time and choose between two modes:
Full Cache Mode: Uses cached images for everything — including input tiles — allowing you to refine over previous refinements.
Fusion-Only Cache Mode: Uses the original input tile but applies cached tiles only for surrounding areas during fusion.
Due to the complex structure of Neuro Generative Tile Fusion (NGTF), the cache feature isn't yet fully effective for repairing individual tiles in NGTF. This is because overlapping areas from one tile don't directly affect the surrounding tiles without recalculating them too, especially when using higher denoise settings, resulting in imperfect blending.
We're actively working to improve this behavior and aim to address it in the next release.
And we add new WORKFLOWS for 1.04 alfa