Loading video...

Video Failed to Load

There was a problem loading this video. This could be due to a temporary network issue or the video might be unavailable.

Which models can your machine actually run? Magnitude is a 100% free, open source desktop app that: - profiles your hardware and runs sample calculations - predicts tok/s for every model before you download - recommends the best models, from fast to smart Pick your models and it handles... show more

Tom Greenwald

3,821 subscribers

50,178 views • 1 month ago •via X (Twitter)

Education Science & Technology

Anya Rossi• Live Now

Private livecam show

29 Comments

Anders Lie1 month ago

Can't wait to fill this bad boy up

Tom Greenwald1 month ago

Hell yeah 🦅📈🔥

Tom Greenwald1 month ago

Under the hood this runs on llama.cpp today. We're replacing it with our own inference engine, built for consumer hardware: - our own kernels, optimized for each local model family - KV cache that grows and shrinks with free memory - expert offloading for models bigger than your machine Expect a release with benchmarks in the next week or two! Follow me to stay in the loop 🤝

Akshay 🚀1 month ago

I recently made a video on Magnitude. It's so good to see that it now comes with a desktop application. Keep shipping, guys. 🔥

Tom Greenwald1 month ago

The shipping will continue 🚢🔥

Ben Smith1 month ago

Cool.

Tom Greenwald1 month ago

Thank you sir

Ocalnik1 month ago

Is it possible to move to this version by updating from a previous npm i -g magnitude install?

Tom Greenwald1 month ago

If you download the new app it will automatically set itself up and disconnect the old CLI!

Ocalnik1 month ago

I'd have to prepare an Arch Linux package to install it cleanly. Are you planing on maintaing an AUR package for magnitude?

Tom Greenwald1 month ago

If you can PR one 😄 this is something I want to support

Ocalnik1 month ago

I am not promising anything, but I might take a look at how other similar PKGBUILDS are created and compare to your tar.gz Linux package.

Cyril | Building @ Pulsiv.app1 month ago

Amazing that’s what I was looking for !

Tom Greenwald1 month ago

Let me know how it goes!

Helge Rebhan1 month ago

Will give it a try on my M4 MacMini after LM Studio gets more unstable with their recent updates.

Stephen Turner 🇬🇧🇺🇦1 month ago

Does it work on Windows within WSL? But for VS Code and OpenClaw Desktop on native Windows, all my developer tooling lives in WSL Ubuntu.

Tom Greenwald1 month ago

Yes, it works on WSL! If your agents run there too, they connect directly. If they run on Windows, they’d connect through WSL’s localhost forwarding. Are the agents themselves running in WSL, or just accessing your projects there?

Mo Elkholy1 month ago

Does it support hybrid quantized models?

Tom Greenwald1 month ago

Yes we support mixed-precision GGUF (like Unsloth Dynamic quants). Any particular model you have in mind?

Mo Elkholy1 month ago

current top 3 production local models right now are : 1-glm 5.3 flash 2-Deepseek v4 & v4 vision and v4.1 .3-Qwen 3.8 flash and waiting for new qwen 3.8 omni wights release 4-qwen 3.8 27b but there are lots of hybrid quantazaion and ablitraitons"

Nick T1 month ago

Kinda sad you guys did away with the CLI I really liked it!

Tom Greenwald1 month ago

The desktop app is bundled with the headless CLI so your agent can still drive it! But yes we did away with the TUI :( desktop app is just much more expressive UI

Jam Ancheta1 month ago

Ohh

John Car1 month ago

Looks like you can specify were the model directory can be on the workstation using Magnitude?

Tom Greenwald1 month ago

Not currently but we have an issue open for it - I'm going to implement this today

Mira Takes1 month ago

The “predict before you download” step is underrated—local model experimentation gets much less frustrating when hardware fit is explicit up front. Open source also makes the recommendations auditable instead of magic.

Kyle1 month ago

55 models in the whole catalog? Seems like this exists to gather and exfiltrate your LLM model data to the company so they can build their model database up.

John Car1 month ago

Can you incorporate free token attributes to run models in vram and ram?

Israfil1 month ago

an honest recommendation engine for loocal models thank you

Related Videos

The easiest way to find out which models you can run on your computer: Magnitude is a 100% free, open-source desktop app that profiles your machine and ranks the models across: - Speed - Accuracy - Intelligence - Memory required Then it downloads the one you pick and tunes it for your machine. Finally, connect your favorite harness (Pi, OpenCode, Claude Code, Codex, etc.) in one click. Get started here: (don't forget to star 🌟) My co-founder wrote a detailed article on running your favorite harnesses with local models. The article is quoted below.

The easiest way to find out which models you can run on your computer: Magnitude is a 100% free, open-source desktop app that profiles your machine and ranks the models across: - Speed - Accuracy - Intelligence - Memory required Then it downloads the one you pick and tunes it for your machine. Finally, connect your favorite harness (Pi, OpenCode, Claude Code, Codex, etc.) in one click. Get started here: (don't forget to star 🌟) My co-founder wrote a detailed article on running your favorite harnesses with local models. The article is quoted below.

Avi Chawla

15,465 views • 1 month ago

LM Studio is the most popular way to run open-source LLMs on your own hardware. Your Hermes Agent now runs natively on LM Studio: auto-discovering your models, loading them on demand with the right context size, and using the right reasoning level for each model.

LM Studio is the most popular way to run open-source LLMs on your own hardware. Your Hermes Agent now runs natively on LM Studio: auto-discovering your models, loading them on demand with the right context size, and using the right reasoning level for each model.

Nous Research

186,253 views • 6 months ago

Introducing Atomic Local AI Server ⚡ Choose inference engine. Run local models. Connect your agents. • Multiple engines: llama.cpp, vLLM, SGLang, TensorRT, MLX, Prism and more. • Local AI server with an OpenAI-compatible API. • One-command engine installation matched to your GPU, CPU or NPU. • Pull from 3M Hugging Face models in GGUF, MLX or safetensors formats. • Run on Windows, Linux, Apple Silicon and NVIDIA hardware, including RTX, Blackwell and DGX Spark. AMD Ryzen Halo support coming soon. • Connect Hermes, OpenClaw, Claude, Codex, Pi agent and others. • Generate images and videos with stable-diffusion. • Manage everything through CLI or web UI. • Remote access via Cloudflare tunnels Free. Open source. Local. 👇

Introducing Atomic Local AI Server ⚡ Choose inference engine. Run local models. Connect your agents. • Multiple engines: llama.cpp, vLLM, SGLang, TensorRT, MLX, Prism and more. • Local AI server with an OpenAI-compatible API. • One-command engine installation matched to your GPU, CPU or NPU. • Pull from 3M Hugging Face models in GGUF, MLX or safetensors formats. • Run on Windows, Linux, Apple Silicon and NVIDIA hardware, including RTX, Blackwell and DGX Spark. AMD Ryzen Halo support coming soon. • Connect Hermes, OpenClaw, Claude, Codex, Pi agent and others. • Generate images and videos with stable-diffusion. • Manage everything through CLI or web UI. • Remote access via Cloudflare tunnels Free. Open source. Local. 👇

atomic.chat

40,325 views • 1 day ago

I switched my Hermes agent to 100% free local models with Magnitude It’s running Qwen 3.6 35B-A3B at ~60 tok/s on my DGX Spark. It’s free, private, and always on running background tasks Hermes set Magnitude up itself. With the CLI it: - Profiled my hardware and found the best models for it - Walked me through the options and let me decide - Switched itself over From there, models load just in time as the agent works and unload when idle Works with Pi, OpenCode, Hermes, OpenClaw, Codex, Claude Code, Oh My Pi, and Cline Copy this prompt and send it to your agent: “Set up local models for me with the Magnitude CLI. Install it with `npm i -g @magnitudedev/cli` (or my package manager), then run `magnitude docs onboarding` and follow the instructions” GitHub:

I switched my Hermes agent to 100% free local models with Magnitude It’s running Qwen 3.6 35B-A3B at ~60 tok/s on my DGX Spark. It’s free, private, and always on running background tasks Hermes set Magnitude up itself. With the CLI it: - Profiled my hardware and found the best models for it - Walked me through the options and let me decide - Switched itself over From there, models load just in time as the agent works and unload when idle Works with Pi, OpenCode, Hermes, OpenClaw, Codex, Claude Code, Oh My Pi, and Cline Copy this prompt and send it to your agent: “Set up local models for me with the Magnitude CLI. Install it with `npm i -g @magnitudedev/cli` (or my package manager), then run `magnitude docs onboarding` and follow the instructions” GitHub:

Tom Greenwald

22,752 views • 2 months ago

🚨 NEW ON AND make Qwen 3.8 27B faster on TensorFold. TensorFold is an amazing Open-Source inference engine built by Ash Hart, Mia and many other community contributors for running AI models on hardware you own. It has native Metal and CUDA support, and APIs that let existing apps and agents use those models locally. This time we are teaming up with Ash to optimize Qwen 3.8 27B, one of the most used models on Local Devices. Every submission is verified on real hardware: DGX Spark for CUDA, M5 Max for Apple Silicon. You can participate in tracks: - Apple Silicon: - NVIDIA DGX Spark: Setup guide: The challenge runs until Nov 6, 2026. To join, pick a track, point your agent at it and let it rip. Looking forward to what the community can ship.

🚨 NEW ON AND make Qwen 3.8 27B faster on TensorFold. TensorFold is an amazing Open-Source inference engine built by Ash Hart, Mia and many other community contributors for running AI models on hardware you own. It has native Metal and CUDA support, and APIs that let existing apps and agents use those models locally. This time we are teaming up with Ash to optimize Qwen 3.8 27B, one of the most used models on Local Devices. Every submission is verified on real hardware: DGX Spark for CUDA, M5 Max for Apple Silicon. You can participate in tracks: - Apple Silicon: - NVIDIA DGX Spark: Setup guide: The challenge runs until Nov 6, 2026. To join, pick a track, point your agent at it and let it rip. Looking forward to what the community can ship.

Kydo

16,050 views • 6 days ago

Introducing Magnitude: your actually local agent 100% private and offline. No token costs, no API keys. Open source. Today's agents are local. The model isn't. Every prompt, every file, every secret gets sent straight to Anthropic and OpenAI. Magnitude is built around local models and runs the whole stack itself. The inference engine is part of the agent, so the models run inside it, right on your computer. It lives in your terminal, and setup is one command. Magnitude profiles your hardware and shows you which models fit, with the trade-offs between quality, speed, and memory. Pick one and start working. No painful config or server to babysit. Out of the box, it can use your shell, edit files, and run scripts. Add skills and it can work with Excel, PowerPoint, PDFs or Chrome. Use it for everyday work: - Analyze sensitive data - Manage private notes - Review code and logs - Search and organize files - Build docs or slides npm i -g @magnitudedev/cli GitHub:

Introducing Magnitude: your actually local agent 100% private and offline. No token costs, no API keys. Open source. Today's agents are local. The model isn't. Every prompt, every file, every secret gets sent straight to Anthropic and OpenAI. Magnitude is built around local models and runs the whole stack itself. The inference engine is part of the agent, so the models run inside it, right on your computer. It lives in your terminal, and setup is one command. Magnitude profiles your hardware and shows you which models fit, with the trade-offs between quality, speed, and memory. Pick one and start working. No painful config or server to babysit. Out of the box, it can use your shell, edit files, and run scripts. Add skills and it can work with Excel, PowerPoint, PDFs or Chrome. Use it for everyday work: - Analyze sensitive data - Manage private notes - Review code and logs - Search and organize files - Build docs or slides npm i -g @magnitudedev/cli GitHub:

Tom Greenwald

398,275 views • 3 months ago

FOUND A FREE UNCENSORED AI STUDIO THAT RUNS LOCALLY 👀 one app for: • AI chat • image + video generation • image-to-video • talking characters • coding agents • agent tools one for: • Windows + Linux • open source • no account needed for local mode • runs on your own GPU it can even install models + ComfyUI for you check it out:

FOUND A FREE UNCENSORED AI STUDIO THAT RUNS LOCALLY 👀 one app for: • AI chat • image + video generation • image-to-video • talking characters • coding agents • agent tools one for: • Windows + Linux • open source • no account needed for local mode • runs on your own GPU it can even install models + ComfyUI for you check it out:

Melophile

24,937 views • 1 month ago

Atomic Chat now runs on NVIDIA RTX Spark 💻 Generate text, images and videos with open models. Power your agents via a local API server. All on your own hardware. Explore RTX Spark:

Atomic Chat now runs on NVIDIA RTX Spark 💻 Generate text, images and videos with open models. Power your agents via a local API server. All on your own hardware. Explore RTX Spark:

atomic.chat

14,241 views • 20 days ago

The easiest way to run your agent harnesses using local models: Whether you're using Claude Code, Codex, OpenCode, or Pi, the local setup itself isn't really the hard part. The harder problem is figuring out which local model your machine can actually handle well. You have to think about RAM, model size, quantization, context length, KV cache, speed, accuracy, and a bunch of other trade-offs before you even start. Magnitude is an open-source solution that removes all of that guesswork for you. It profiles your machine, benchmarks what it can realistically run, recommends the best models for your hardware, and then lets you connect them to your preferred agent harness. The entire setup takes just two commands. In this video, I walk through the full process from hardware profiling to running a harness on a local model. Chapters: 00:00 Intro 00:17 What Magnitude is 00:45 Setup in two commands 01:29 Why picking a local model gets confusing fast 02:11 Hardware profiling + model recommendations 02:59 Choosing your harness 03:22 Connecting a harness that's already running 04:18 Outro Get started: (don't forget to star 🌟)

The easiest way to run your agent harnesses using local models: Whether you're using Claude Code, Codex, OpenCode, or Pi, the local setup itself isn't really the hard part. The harder problem is figuring out which local model your machine can actually handle well. You have to think about RAM, model size, quantization, context length, KV cache, speed, accuracy, and a bunch of other trade-offs before you even start. Magnitude is an open-source solution that removes all of that guesswork for you. It profiles your machine, benchmarks what it can realistically run, recommends the best models for your hardware, and then lets you connect them to your preferred agent harness. The entire setup takes just two commands. In this video, I walk through the full process from hardware profiling to running a harness on a local model. Chapters: 00:00 Intro 00:17 What Magnitude is 00:45 Setup in two commands 01:29 Why picking a local model gets confusing fast 02:11 Hardware profiling + model recommendations 02:59 Choosing your harness 03:22 Connecting a harness that's already running 04:18 Outro Get started: (don't forget to star 🌟)

Akshay 🚀

18,722 views • 1 month ago

You can run local AI models up to 120B without a $10,000 Mac Studio This phone-sized device is your own server for open-source models. 100% local and private. And you can use it to: - Power an agent like OpenClaw 24/7 - Completely replace a chatbot - Literally anything that requires an API It’s called Tiiny, and, once again, you can run the latest open-source models on it. Link below

You can run local AI models up to 120B without a $10,000 Mac Studio This phone-sized device is your own server for open-source models. 100% local and private. And you can use it to: - Power an agent like OpenClaw 24/7 - Completely replace a chatbot - Literally anything that requires an API It’s called Tiiny, and, once again, you can run the latest open-source models on it. Link below

Paul Couvert

41,369 views • 7 months ago

MausBot (MausBot) is a free, open-source chat app for a team of AI agents. It’s an open-source chat app for AI bots that runs locally on your machine, using the models you already have (Claude, Codex, Grok, and more). Your data stays on your computer. Heading towards superintelligence.

MausBot (MausBot) is a free, open-source chat app for a team of AI agents. It’s an open-source chat app for AI bots that runs locally on your machine, using the models you already have (Claude, Codex, Grok, and more). Your data stays on your computer. Heading towards superintelligence.

Omkar Satpute

22,692 views • 1 month ago

A 10B Chinese model beats models 20x its size. And it runs on your laptop. Step 3 VL10B uses parallel reasoning to think like 16 experts at once. → Beats 200B parameter models → Scores 92.2% on multimodal benchmarks → Runs 16 reasoning paths simultaneously → Open source on Hugging Face → Works offline on your hardware OCR. GUI understanding. STEM problems. All covered. Completely free to download. Want the technical breakdown? DM me.

A 10B Chinese model beats models 20x its size. And it runs on your laptop. Step 3 VL10B uses parallel reasoning to think like 16 experts at once. → Beats 200B parameter models → Scores 92.2% on multimodal benchmarks → Runs 16 reasoning paths simultaneously → Open source on Hugging Face → Works offline on your hardware OCR. GUI understanding. STEM problems. All covered. Completely free to download. Want the technical breakdown? DM me.

Julian Goldie SEO

37,243 views • 9 months ago

run agent harnesses 100% private & offline. (no token costs, no API keys, 100% open-source) your agent runs locally. the model doesn't. every prompt, every file, and every secret still leaves your machine before the agent does anything with it. Magnitude fixes that. it's an open source inference server that runs models on your own hardware and plugs into the coding agent you already use. setup is one command. it profiles your machine, measures the memory bandwidth that sets your token rate, and hands back complete configurations instead of a list of models. each one names a model, a compression level, a context size, and a speed range you can expect. pick one and start working. it doesn't replace your harness. setup asks which one you want and writes that config for you. Pi, OpenCode, Claude Code, Codex, and Cline all work, and there's a built-in one tuned for local models if you don't have a harness yet. that one uses your shell, edits files, and runs scripts out of the box. add skills and it handles Excel, PowerPoint, PDFs, or Chrome. everyday work it covers: → analyze sensitive data → manage private notes → review code and logs → search and organize files → build docs or slides Apache 2.0. no rate limits, and nothing leaves the machine. 𝗻𝗽𝗺 𝗶 -𝗴 @𝗺𝗮𝗴𝗻𝗶𝘁𝘂𝗱𝗲𝗱𝗲𝘃/𝗰𝗹𝗶 the repo is here: (don't forget to star 🌟) i wrote the full breakdown of why picking the configuration is the hard part. the article is quoted below.

run agent harnesses 100% private & offline. (no token costs, no API keys, 100% open-source) your agent runs locally. the model doesn't. every prompt, every file, and every secret still leaves your machine before the agent does anything with it. Magnitude fixes that. it's an open source inference server that runs models on your own hardware and plugs into the coding agent you already use. setup is one command. it profiles your machine, measures the memory bandwidth that sets your token rate, and hands back complete configurations instead of a list of models. each one names a model, a compression level, a context size, and a speed range you can expect. pick one and start working. it doesn't replace your harness. setup asks which one you want and writes that config for you. Pi, OpenCode, Claude Code, Codex, and Cline all work, and there's a built-in one tuned for local models if you don't have a harness yet. that one uses your shell, edits files, and runs scripts out of the box. add skills and it handles Excel, PowerPoint, PDFs, or Chrome. everyday work it covers: → analyze sensitive data → manage private notes → review code and logs → search and organize files → build docs or slides Apache 2.0. no rate limits, and nothing leaves the machine. 𝗻𝗽𝗺 𝗶 -𝗴 @𝗺𝗮𝗴𝗻𝗶𝘁𝘂𝗱𝗲𝗱𝗲𝘃/𝗰𝗹𝗶 the repo is here: (don't forget to star 🌟) i wrote the full breakdown of why picking the configuration is the hard part. the article is quoted below.

Akshay 🚀

56,499 views • 2 months ago

An Al agent shouldn't need your login credentials or carte blanche over your computer to be useful. Most agent tools ship your files to a server and charge you every month for those resources. Linda takes the opposite path: a completely private coworker that runs open models directly on Apple Silicon. By pairing small, purpose-built specialist models with smart context compaction, it handles web research, file organization, and site builds in seconds, right on your own machine.

An Al agent shouldn't need your login credentials or carte blanche over your computer to be useful. Most agent tools ship your files to a server and charge you every month for those resources. Linda takes the opposite path: a completely private coworker that runs open models directly on Apple Silicon. By pairing small, purpose-built specialist models with smart context compaction, it handles web research, file organization, and site builds in seconds, right on your own machine.

Product Hunt 😸

12,556 views • 29 days ago

PERPLEXITY 🔥: A new Hybrid mode is coming soon on Mac, letting local models handle some subtasks. > Gemma 4 (for 16 GB machines), Qwen3.6, and Perplexity's own model (For 32 GB machines) are currently supported. > "In Hybrid mode, Computer orchestrates in the cloud and delegates suitable subtasks to a model on your Mac." > "Local models run on your Mac's own memory and processor — the more capable your machine, the larger the models it can run." > "Privacy Gate is a small model that runs entirely on your Mac. It inspects anything headed to the cloud for personal or sensitive information — and if it finds any, you decide how to handle it before anything is sent." That would be huge 👀

PERPLEXITY 🔥: A new Hybrid mode is coming soon on Mac, letting local models handle some subtasks. > Gemma 4 (for 16 GB machines), Qwen3.6, and Perplexity's own model (For 32 GB machines) are currently supported. > "In Hybrid mode, Computer orchestrates in the cloud and delegates suitable subtasks to a model on your Mac." > "Local models run on your Mac's own memory and processor — the more capable your machine, the larger the models it can run." > "Privacy Gate is a small model that runs entirely on your Mac. It inspects anything headed to the cloud for personal or sensitive information — and if it finds any, you decide how to handle it before anything is sent." That would be huge 👀

🚨 AI News | TestingCatalog

43,471 views • 2 months ago

Private AI browser with the OpenClaw agent on free local models Run your agent on Qwen, Gemma, or Nemotron directly in the browser Open source. Private. Runs on your local device

Private AI browser with the OpenClaw agent on free local models Run your agent on Qwen, Gemma, or Nemotron directly in the browser Open source. Private. Runs on your local device

Sigma Browser

115,995 views • 6 months ago

Hermes Agent by Nous Research (100k+ ⭐) now inside Atomic Bot: – Free Local models: Qwen, Gemma or – Use your API keys for any provider – Dashboard, terminal, logs and files explorer – Private and Open Source Download MacOS app or run in Cloud👇

Hermes Agent by Nous Research (100k+ ⭐) now inside Atomic Bot: – Free Local models: Qwen, Gemma or – Use your API keys for any provider – Dashboard, terminal, logs and files explorer – Private and Open Source Download MacOS app or run in Cloud👇

atomicbot.ai

345,530 views • 6 months ago

Introducing Unsloth Desktop 🦥 The first desktop app to run and train models locally. • Open-source. Runs on Mac, Windows and Linux • Supports MLX, diffusion image/video, audio, GGUF • Connect Claude Code and Codex to local LLMs • 50% more accurate, self-healing tool calls + sandboxed code exec • Works for CPU + multiGPU setups - NVIDIA, AMD, Intel, Mac • Train models 2× faster with 70% less VRAM • Private web search, deep research, RAG, MCP and exports (NVFP4, GGUF) • Use Unsloth’s OpenAI-compatible API and cloud models • Securely deploy LLMs remotely and access anywhere Unsloth Desktop is now available on and GitHub. GitHub: Blog and Guide:

Introducing Unsloth Desktop 🦥 The first desktop app to run and train models locally. • Open-source. Runs on Mac, Windows and Linux • Supports MLX, diffusion image/video, audio, GGUF • Connect Claude Code and Codex to local LLMs • 50% more accurate, self-healing tool calls + sandboxed code exec • Works for CPU + multiGPU setups - NVIDIA, AMD, Intel, Mac • Train models 2× faster with 70% less VRAM • Private web search, deep research, RAG, MCP and exports (NVFP4, GGUF) • Use Unsloth’s OpenAI-compatible API and cloud models • Securely deploy LLMs remotely and access anywhere Unsloth Desktop is now available on and GitHub. GitHub: Blog and Guide:

Unsloth AI

888,317 views • 2 months ago

no money for grok or midjourney? this tool is for you. there's a FREE tool created by an anon dev. open-source. runs locally. 117k stars on github. it generates: > images & video > 3d models > audio > 20+ models here's how to set it up in under 5 minutes: 1️⃣download ComfyUI Desktop go to and grab the desktop app for your system. windows 10+, mac (apple silicon), or linux. it installs like any normal app, it sets up python and every dependency for you in the background. no terminal, no config files. 2️⃣open it first launch, it spins up its own environment automatically. you just wait a few seconds and you're in. you'll land on a node canvas, that's the whole interface. 3️⃣load a starter workflow top menu → Workflow → Browse Templates → Image Generation. click it. this drops a ready-made setup onto your canvas so you don't build anything from scratch. 4️⃣grab a model comfyui ships empty on purpose, the model is the brain, and you pick it. in the template, the "Load Checkpoint" node has a Download button when no model is installed. click it. it pulls one in for you (a few GB, this is the only real wait). 5️⃣install ComfyUI Manager this is the one add-on you don't skip. it lets you install models, custom nodes, and updates with a click instead of the command line. grab it from github (link in comments). it's the difference between fighting comfyui and flying in it. one honest note: an NVIDIA gpu makes this fast, apple silicon works great too, and a weak machine still runs it just slower. that's the whole setup. you now own an image, video, and 3D studio that costs you nothing per month. save this. and the next time grok or midjourney asks for your card. you won't need it. disclaimer: comfyui itself is 100% free. so are the local models (sdxl, flux, wan 2.2, ltx-2). some premium models like seedance are pay-per-use api models, only if you want top-tier quality. the free local ones cover most of what you need. (github link in the comments) follow and turn on post notification for daily AI contents.

no money for grok or midjourney? this tool is for you. there's a FREE tool created by an anon dev. open-source. runs locally. 117k stars on github. it generates: > images & video > 3d models > audio > 20+ models here's how to set it up in under 5 minutes: 1️⃣download ComfyUI Desktop go to and grab the desktop app for your system. windows 10+, mac (apple silicon), or linux. it installs like any normal app, it sets up python and every dependency for you in the background. no terminal, no config files. 2️⃣open it first launch, it spins up its own environment automatically. you just wait a few seconds and you're in. you'll land on a node canvas, that's the whole interface. 3️⃣load a starter workflow top menu → Workflow → Browse Templates → Image Generation. click it. this drops a ready-made setup onto your canvas so you don't build anything from scratch. 4️⃣grab a model comfyui ships empty on purpose, the model is the brain, and you pick it. in the template, the "Load Checkpoint" node has a Download button when no model is installed. click it. it pulls one in for you (a few GB, this is the only real wait). 5️⃣install ComfyUI Manager this is the one add-on you don't skip. it lets you install models, custom nodes, and updates with a click instead of the command line. grab it from github (link in comments). it's the difference between fighting comfyui and flying in it. one honest note: an NVIDIA gpu makes this fast, apple silicon works great too, and a weak machine still runs it just slower. that's the whole setup. you now own an image, video, and 3D studio that costs you nothing per month. save this. and the next time grok or midjourney asks for your card. you won't need it. disclaimer: comfyui itself is 100% free. so are the local models (sdxl, flux, wan 2.2, ltx-2). some premium models like seedance are pay-per-use api models, only if you want top-tier quality. the free local ones cover most of what you need. (github link in the comments) follow and turn on post notification for daily AI contents.

m0h

15,424 views • 4 months ago