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Realtime AI Generation Local Install Guide (AI Drawing) for FREE on your PC! thumbnail

Realtime AI Generation Local Install Guide (AI Drawing) for FREE on your PC!

MattVidPro·
5 min read

Based on MattVidPro's video on YouTube. If you like this content, support the original creators by watching, liking and subscribing to their content.

TL;DR

Check Task Manager → Performance → GPU for dedicated GPU memory; shared-memory-only GPUs are treated as incompatible.

Briefing

Local, real-time AI drawing can run privately and for free on a Windows PC—provided the machine has an NVIDIA GPU with dedicated memory (at least 8 GB recommended). The setup hinges on installing ComfyUI plus ComfyUI Manager, downloading the “SDXL Turbo 1.0 do saafe tensors” model, optionally adding upscale models, and then using a custom ComfyUI workflow that enables prompt editing and image generation to respond immediately as the user draws.

Hardware checks come first. On Windows 10 or 11, the process starts in Task Manager under the Performance tab, then the GPU section. The key requirement is dedicated GPU memory: integrated GPUs with only shared memory won’t work for this guide. The tutorial frames 8 GB dedicated VRAM as the bare minimum for “real-time” behavior, while the example system—an AORUS 17X laptop with an RTX 4080—has 12 GB dedicated VRAM, which is treated as comfortably sufficient.

Software installation is then staged around four downloads and two utilities. Seven-Zip is recommended to speed up unpacking large archives. The guide instructs users to download SDXL Turbo 1.0 do saafe tensors (about 14 GB), ComfyUI (about 1.4 GB), and optional upscale models from a Google Drive link. Git is installed next because ComfyUI Manager relies on it. After that, ComfyUI Manager is installed using a script copied from the instructions, and the user is told to wait for all downloads (especially the large SDXL Turbo file) to finish before continuing.

Once ComfyUI is extracted to a chosen folder, the workflow requires placing the SDXL Turbo checkpoint into ComfyUI’s checkpoints directory and copying upscale model files into the upscale models directory. A custom workflow file (“Matt vidpro realtime drawing final. JSO” from a Google Drive download) is then loaded via ComfyUI Manager. The guide notes that certain “no time were not found” and missing-tab warnings may appear during graph loading, but it treats them as expected. The critical step is clicking “Install missing custom nodes,” installing two required nodes (with a restart after the second), and confirming the interface loads cleanly.

With the system running, the interaction loop is built around prompt queuing and live editing. Users press Q prompt to generate from a prompt like “photo of a tabby cat,” then use “extra options” to set batch count to one and enable Auto Q so prompts update automatically. Editing the prompt text changes the output in near real time. For drawing, the workflow opens an “edit in another tab” drawing canvas; releasing the pen triggers image updates. The AI responds to scribbles, but the tutorial repeatedly warns that the prompt must reflect what was drawn (e.g., specifying “photo of the dog to the left” when scribbles imply a dog). The user demonstrates changing composition, perspective, and style by drawing and rewriting prompt details on the fly.

After a satisfactory result, upscaling is performed by disabling Auto Q, reloading upscale modules, and queueing the upscale models (example preference: “4X NM KD super scale”). Outputs are saved under ComfyUI’s output folder. The guide closes by noting that exiting involves closing the ComfyUI windows and rerunning “run Nvidia GPU,” and it highlights the sponsor’s AORUS 17X as a machine capable of handling both recording workloads and local real-time AI generation.

Cornell Notes

The guide lays out a Windows-first method to run local, real-time AI drawing using ComfyUI with a custom workflow and the SDXL Turbo 1.0 do saafe tensors model. The most important prerequisite is NVIDIA hardware with dedicated GPU memory—8 GB dedicated VRAM is treated as the minimum for real-time performance, while shared-memory-only GPUs won’t work. After installing Seven-Zip, Git, ComfyUI, and ComfyUI Manager, users place the SDXL Turbo checkpoint into the checkpoints folder and upscale models into the upscale models folder. The workflow then enables Auto Q prompt updates and a drawing canvas where releasing the pen triggers immediate image regeneration. Final images can be upscaled (with Auto Q disabled) and saved to ComfyUI’s output directory.

What hardware requirement determines whether this local real-time drawing setup will work?

Dedicated GPU memory is the deciding factor. In Windows Task Manager → Performance → GPU, the guide says to check the GPU section for “dedicated GPU memory.” Integrated Intel UHD Graphics with only shared memory is treated as incompatible. The tutorial recommends at least 8 GB dedicated VRAM for real-time behavior; the example AORUS 17X system has 12 GB dedicated VRAM on an RTX 4080, which is described as more than enough.

Why are Seven-Zip and Git installed early in the process?

Seven-Zip speeds up unpacking large ComfyUI and model archives; the guide repeatedly uses it to extract folders quickly and reliably. Git is required because ComfyUI Manager depends on it; the ComfyUI Manager installation uses a script that assumes Git is already installed.

How do the SDXL Turbo model and upscale models get wired into ComfyUI?

The SDXL Turbo 1.0 do saafe tensors file (downloaded as a large archive) must be placed into ComfyUI’s checkpoints folder. Upscale models (downloaded separately) are added into the upscale models folder. The guide instructs users to drag the files into the correct directories and to extract archives with Seven-Zip when needed.

What makes prompt changes and drawing updates happen in real time?

Auto Q prompt queuing and the drawing canvas. Users press Q prompt to generate, then open “extra options” to set batch count to one and enable Auto Q; after that, changing the prompt text updates generations automatically. For drawing, the workflow opens “edit in another tab,” and the image updates when the user releases the drawing pen, using the scribbles as guidance while the prompt specifies what the scribbles represent.

What’s the workflow for upscaling after a drawing is complete?

Upscaling requires turning off Auto Q. The guide says to disable Auto Q, then reload the upscale modules (example shortcut: hold Control and press M for each module). After selecting an upscale model (example: “4X NM KD super scale”), users press Q prompt to queue the upscaler for both the original SDXL output and the controlled/drawn output. The upscaled results appear after generation, and saved files are found in ComfyUI’s output folder.

Review Questions

  1. What specific Task Manager GPU metric does the guide use to decide whether the setup will run, and what happens if the GPU only has shared memory?
  2. Where do SDXL Turbo 1.0 do saafe tensors and the upscale model files need to be placed inside ComfyUI?
  3. How do Auto Q and the drawing pen release event work together to produce real-time updates?

Key Points

  1. 1

    Check Task Manager → Performance → GPU for dedicated GPU memory; shared-memory-only GPUs are treated as incompatible.

  2. 2

    Plan for at least 8 GB dedicated VRAM for real-time performance; the guide’s example system uses 12 GB dedicated VRAM.

  3. 3

    Install Seven-Zip for faster extraction, then install Git because ComfyUI Manager requires it.

  4. 4

    Download and place SDXL Turbo 1.0 do saafe tensors into ComfyUI’s checkpoints folder and upscale models into the upscale models folder.

  5. 5

    Load the custom “Matt vidpro realtime drawing final. JSO” workflow, then use ComfyUI Manager’s “Install missing custom nodes” and restart after the second node.

  6. 6

    Use Q prompt plus Auto Q (batch count set to one) for automatic prompt updates; use the drawing canvas where releasing the pen triggers image regeneration.

  7. 7

    Disable Auto Q to upscale, reload upscale modules, queue the upscaler, and retrieve saved outputs from ComfyUI’s output folder.

Highlights

Dedicated VRAM is the gatekeeper: the guide treats GPUs with only shared memory (like Intel UHD) as not working for this setup.
Real-time behavior comes from Auto Q prompt queuing combined with a drawing tab that updates the image on pen release.
Upscaling is a separate phase: Auto Q must be disabled, upscale modules reloaded, and then Q prompt is used to generate higher-resolution results.

Topics

  • Local AI Drawing
  • ComfyUI Setup
  • SDXL Turbo
  • Real-Time Prompt Editing
  • GPU Requirements

Mentioned