SuperklokStyleLoRA is a 100% Commercially Usable specialized style fine-tuning model architecture trained natively on Stable Diffusion 3.5 Large using an all-in-one local ComfyUI interface. Visit Hugging Face to download SuperklokStyleLoRA for FREE!
This LoRA reproduces ultra-saturated, neon-green circuit board backgrounds, copper soldering points, glossy hardware capacitors, and authentic analog horizontal CRT television monitor scanlines.
Unlike LoRAs and workflows tied to restrictive non-commercial licenses, this entire architecture is 100% free for commercial use.
- Indie Game Devs: Generate menus, title screens, and concept art locally.
- Content Creators: Automate flashy and unique marketing image generation.
- IP Creators: Monetize your original marketing images, workflows, and visual outputs with zero subscription overhead.
SuperklokStyleLoRA was created with the help of ComfyUImarketing, which specializes in turning primitive MS Paint drawings, combined with text prompts, into highly detailed 100% commercially usable images. The original uploaded reference image Superklok Labs Banner.png for the SuperklokStyleLoRA began as a primitive MS Paint drawing, here are the steps of its development using the ComfyUImarketing workflow.
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- Base Architecture Compatibility: Stable Diffusion 3.5 Large (fp8 scaled / fp16 / bf16)
- Native Trained Resolution: 1344x768 (Landscape centered-crop dataset layout)
- Required Activation Token:
Superklok Style - Recommended Weight:
0.5 - 0.8(Style models naturally thrive at slightly lower weights to preserve creative composition flexibility. Feel free to experiment with different values outside of the universal recommendation of0.5 - 0.8for style LoRAs, to see how it affects the final output image.) - Dataset Density: 120 hand-selected art style images at 20 processing iterations per file (2,700 total training steps).
- Final loss value: 0.1404, a stellar, textbook-perfect score for an intricate Style LoRA. Style models naturally hold a slightly higher final loss value than characters (for example, 0.10 to 0.15 vs SunnyChuxemLoRA character LoRA's 0.02). This is exactly what we want because it prevents the model from being rigid. It captured the layout texture, the scanlines, and the branding layout without losing its creative flexibility.
This repository includes the official ComfyUI Workflow - SuperklokStyleLoRA.json workflow file. Users can train this model locally entirely within ComfyUI without installing terminal command suites, command-line environments, or complex external dependencies.
Follow these steps to configure the image-generation pipeline. This workflow is optimized to run on a single 16GB VRAM graphics card.
- An NVIDIA GPU with 16GB+ VRAM (Optimized for RTX 4070 Ti, 5070 Ti, or similar).
- The
SuperklokStyleLoRA\dataset\20_SuperklokStyle\folder. - The
ComfyUI Workflow - SuperklokStyleLoRA.jsonworkflow file included in theSuperklokStyleLoRA\folder. - The
captioner.pyscript in theSuperklokStyleLoRA\folder.
β οΈ IMPORTANT NOTE: Download the SuperklokStyleLoRA GitHub repository directly to the folder location where you intend to run your applications. SuperklokStyleLoRA is a fully portable and 100% offline-capable environment. All related application files, models, and caches live strictly inside the main installation folder. Once set up, you can completely disconnect your system from the internet without losing any functionality.
- You will first need to install Git for Windows from the official page (https://gitforwindows.org/). The direct download link is https://github.com/git-for-windows/git/releases/download/v2.55.0.windows.3/Git-2.55.0.3-64-bit.exe
- Download the official ComfyUI Windows Portable Build from the ComfyUI Downloads Page (https://docs.comfy.org/installation/comfyui_portable_windows).
-
Extract the downloaded
ComfyUI_windows_portable_nvidia.7zarchive into yourSuperklokStyleLoRA\folder, then go inside the resultingComfyUI_windows_portable_nvidiafolder and not the.7zarchive. -
Open the
SuperklokStyleLoRA\ComfyUI_windows_portablefolder. You will see several batch files, anadvancedfolder, a mainComfyUIfolder, apython_embededfolder, and anUpdatefolder.
β οΈ **NOTE:**Make sure theComfyUI_windows_portable_nvidiafolder contains all the ComfyUI files and is placed directly in theSuperklokStyleLoRA\folder.
To prevent ComfyUI from locking your graphics card and crashing your local chatbot backend, modify the startup configurations:
- Right-click the file named
run_nvidia_gpu.batand select Edit (or open it with Notepad).
- Replace the entire default text line at the top of the file with the following optimized command:
.\python_embeded\python.exe -s ComfyUI\main.py --windows-standalone-build --fp8_e4m3fn-text-enc --use-pytorch-cross-attention
- Save the
run_nvidia_gpu.batfile and close your text editor.
- Browse to your
SuperklokStyleLoRA\ComfyUI_windows_portable\ComfyUI\custom_nodesfolder and open a Command Prompt inside that folder by clicking in the Address Bar at the top, typingcmd, and pressing Enter. This will open a Command Prompt terminal in yourcustom_nodesfolder.
- Once the black box (Command Prompt) pops up, type the following into it and press Enter:
git clone https://github.com/ltdrdata/ComfyUI-Manager comfyui-manager
- Close the Command Prompt terminal window once the download operation is complete.
- Download
sd3.5_large_fp8_scaled.safetensorsfrom https://huggingface.co/Comfy-Org/stable-diffusion-3.5-fp8/blob/main/sd3.5_large_fp8_scaled.safetensors and place it in yourSuperklokStyleLoRA\ComfyUI_windows_portable\ComfyUI\models\checkpointsfolder.
-
Browse to your
SuperklokStyleLoRA\ComfyUI_windows_portablefolder and double-click your modifiedrun_nvidia_gpu.batfile. A browser window will open automatically athttp://127.0.0.1:8188. It may take a couple minutes to launch for the first time after installing ComfyUI. -
Locate the
ComfyUI Workflow - SuperklokStyleLoRA.jsonworkflow file inside theSuperklokStyleLoRA\folder.
- Drag and drop the
ComfyUI Workflow - SuperklokStyleLoRA.jsonworkflow file directly into the ComfyUI browser interface to load the automated pipeline.
- Browse to your
SuperklokStyleLoRA\datasetfolder and copy the20_SuperklokStylefolder.
- Paste the
20_SuperklokStyledataset into theSuperklokStyleLoRA\ComfyUI_windows_portable\ComfyUI\inputfolder.
- Enter the number of LoRAs you would like to train sequentially, then press
Runto train the amount of LoRAs you requested. Your trained LoRA files can be found in theSuperklokStyleLoRA\ComfyUI_windows_portable\ComfyUI\output\models\lorasfolder.
When training your own LoRAs, you can use the captioner.py script found in your SuperklokStyleLoRA\ folder to create .txt files to accompany each of your LoRA training images.
If you're interested in owning a custom version of the same Premium ComfyUI Workflow that generated the images used to train SuperklokStyleLoRA, then reach out through Upwork or Contra to order your very own custom copy of the ComfyUImarketing 100% Commercially Usable Marketing Automation Engine today! Here's an output sample from using the SuperklokStyleLoRA through the ComfyUImarketing workflow:
Your 100% Commercially Usable LoRA training workflow is ready to go, and the parameters can easily be modified to train your own custom LoRAs!
SuperklokStyleLoRA is a Superklok Labs production-grade style asset and LoRA purpose-built for applying the Superklok art style to AI generated imagery.
Unlike traditional assets, this style LoRA is released with zero commercial restrictions. You are fully authorized to use this asset in commercial video games, software applications, marketing campaigns, and creative projects completely free of charge.
While this style LoRA is completely free, achieving perfect consistency, hyper-speed rendering, and automated production pipelines requires specialized engineering.
If you need a custom-built generation pipeline, bespoke style LoRAs for your brand, or optimized ComfyUI enterprise workflows, let's build it together!
Hire me directly on your preferred freelance platform:
The SuperklokStyleLoRA asset is explicitly engineered to test the limits of your generative pipelines:
- High-Fidelity Consistency: Perfect for testing seed stability, IP-Adapter configurations, and ControlNet weighting.
- SFW / Production-Ready: Clean, professional aesthetics suitable for corporate demos, marketing campaigns, and open-source testing.
- Architecture Agnostic: Optimized for seamless integration across Stable Diffusion architectures and custom ComfyUI nodes.
This repository is distributed under the SUPERKLOK LABS UNIFIED PUBLIC ASSET LICENSE v1.0.
- 100% Free for Commercial Use: You are fully permitted to use the ComfyUI workflows, LoRA models, and test images to generate commercial artwork.
- Mandatory Attribution: You must credit Superklok Labs by linking to or tagging one of the official handles (for example, Twitter(X) or Instagram) whenever you publish content created or upscaled with these assets.
See the full LICENSE file for legal details and the complete list of attribution links.
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