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Microsoft Mage-Flow: Generate Free AI Images Locally

0h 05m video Published Jul 29, 2026 Transcribed Jul 29, 2026 Julian Goldie SEO Julian Goldie SEO
Beginner 3 min read For: AI enthusiasts and developers interested in local open-source image generation.
AI Trust Score 75/100
⚠️ Average / Some Fluff

"Delivers on the promise of free local image generation with practical demos."

AI Summary

Microsoft Mage is a free, open-source tool for generating images locally. The video demonstrates multiple ways to use it, including through Claude desktop, Gradio, and Hugging Face, and highlights its performance and quality.

[00:03]
Introduction to Mage

Mage is a powerful way to generate images locally for free, shown with an example image.

[00:18]
Easiest way: Git Clone and Claude

Grab the GitHub repo and use Claude desktop to operate Mage for image generation.

[00:58]
Using Gradio Interface

Mage Flow can be used via Gradio with model presets like base or RL.

[01:14]
Advantages of Claude

Claude runs Mage in the background and pops up the image when ready.

[01:40]
Hugging Face Space

Use Hugging Face to describe images, switch between quality and turbo modes, and edit input images.

[02:10]
Hardware Performance

Turbo generation works in 0.59 seconds on Nvidia A100, but slower on Mac Studio.

[02:36]
Turbo vs Quality Mode

Mage flow turbo is fastest; quality mode takes longer but produces better results.

[03:03]
Terminal Usage

Install and run 'mage-app' in terminal for local generation.

[03:16]
License and Features

MIT license, supports text-to-image and video, uses Qwen 3 4-bit decoder, compact and lightweight.

[03:42]
Alternative: Ernie

Ernie from Baidu is an alternative local model with 8-bit parameters.

[03:56]
Generation Time Example

On Mac Studio, generating an image took 1 minute 55 seconds; free and local.

[04:11]
Quality and Integration

Decent quality for a free local model; can be integrated into agent frameworks.

Mage is a promising free, local tool for AI image generation, especially useful for those with powerful hardware, and can be integrated with agent frameworks.

Mentioned in this Video

Tutorial Checklist

1 00:18 Clone the Mage repository from GitHub.
2 00:32 Set up Claude desktop to control Mage.
3 00:44 Provide image description to Claude and let it orchestrate generation.
4 00:58 Open the Gradio app to use Mage Flow UI.
5 01:05 Choose model preset (base or RL) and generate.
6 01:26 Go to Hugging Face space, describe image, select quality or turbo mode.
7 03:03 Install and run 'mage-app' in terminal for local generation.
8 03:42 Consider alternative local model like Ernie from Baidu.

Study Flashcards (5)

What license is Mage released under?

easy Click to reveal answer

MIT license.

03:16

What are the two model presets available in Gradio?

easy Click to reveal answer

Base and RL.

01:05

How long did generating an image take on the Mac Studio in the demo?

medium Click to reveal answer

1 minute 55 seconds.

03:56

What decoder does Mage use?

medium Click to reveal answer

Qwen 3 4-bit decoder.

03:16

What is the name of the alternative local model from Baidu mentioned?

easy Click to reveal answer

Ernie.

03:42

💡 Key Takeaways

💡

Mage Introduction

Introduces a free open-source tool for local AI image generation.

00:03
🔧

Claude Integration

Demonstrates using an AI agent to orchestrate image generation seamlessly.

00:18
📊

Hardware Performance Variance

Highlights that performance heavily depends on hardware; A100 achieves sub-second generation.

02:10
📊

MIT License and Capabilities

MIT license allows commercial use and modification; supports text-to-image and video.

03:16
📊

Ernie Alternative

Provides an alternative local model from Baidu with 8-bit parameters.

03:42

[00:03] image generation tool from Microsoft called Mage. And this is a powerful way to generate images locally. And I'll show you an example of what we created earlier. So, you can see the example here. We created this locally for free

[00:18] with Microsoft Mage. And if you're wondering how to use it, I think the easiest way is you just grab the GitHub like so. And then you can actually go into Claude, Claude desktop, and you can get

[00:32] Claude desktop to operate it for you. So, for example, when we were generating this image, Claude completely orchestrated Mage for us, and then generated the image, and it was generated for free locally in like 2

[00:44] minutes, which is pretty nice. So, if you want to generate any images it the image now. You don't need to give it an API, and then it can generate images locally like this. Now, also, what you can do is you can open it with

[00:58] Gradio. Um this is Gradio. As you can see, it's got Mage flow plugged into it, and then we can pick a model preset, for example, base or RL. can go from there, and then we can generate this over here. I will say,

[01:14] when you're generating images like this instead, it takes a few minutes, and Claude instead because number one, it can run it in the background, and number two, when it's actually ready, it'll just pop up in the window like you can

[01:26] see right here. Now, another way to use this is you can actually go over to Face, you can describe the image that you want, and then you can switch between Mage flow quality and Mage flow to uh turbo fast. You can also click an

[01:40] image as an input image as well if you want to edit. And from here, we can let's try this right now. We're going to hit run on that, and then it'll wait for aware that you need to wait a little bit. And now we've got that processing

[01:55] in the background over here. Now, this is pretty small and efficient. You can see some of the outputs of this and it's pretty decent quality, like you can see. With turbo generation, it can work on 0.59 seconds, but bear in mind that's on

[02:10] an Nvidia A100. So, it depends what you're using. I'm using a Mac Studio. but Mac Studios are not great for running local models. And then, if we go back to the tab here, we have the image generated. This is a

[02:23] cat eating pancakes. And we can generate images for free using this. That was, by can also switch the image flow quality here and run that. So, if we open this up in a new tab,

[02:36] second. So, this is the turbo fast option. Then we're going to hit run like so. And actually, at that point, just to be 100% transparent with you, it then asks us to use

[02:48] well, to wait a little bit more time. So, Mage flow is the fastest. And if you just want to keep generating without worrying about limits on Hugging Face, example, if we say, "Okay, create an image of a

[03:03] dragon flying in the sky and open it up for me." And we can also run this in our terminal, too. So, we can run mage-app in our terminal once it's installed from the GitHub and we're good to go. This is

[03:16] also under MIT license, which allows us to do text-to-image generation and also videos, too. And it's trained from scratch and paired And it's trained from scratch and paired with Qwen 3 4-bit decoder at a compact

[03:30] lightweight. Now, another option if you want like a local open-source model is Ernie. That's an alternative. That's from Chinese company Baidu. And that's 8-bit 8-bit parameters.

[03:42] images, like you can see right here. Now, for me personally, 4-bit a lot more quality, pretty easy to set up. And you can see this is running in the background. So, I just got Fable 5 to

[03:56] operate it. And then we have the image generated here. It took 1 minute 55 So, it's not like instant, but it's free. It's local. It's open source. And it opens the image. Plus, now Claude can generate images for free or

[04:11] into, you can generate images. So, pretty cool. I'm guessing you can actually get, for example, Hermes to use that for you as And the quality is decent. Like, not bad at all for a free local model. So, it's

[04:24] brand new, worth checking out. Great if you've got a really good local setup. And either way, you can generate free images. So, if you want to get more in the comments and description or just

[04:36] community, you can ask questions, get help and support in real time. I tutorial every single day. And then there's always people online ready to the classroom, you can get access to all of our best training. So, for example,

[04:49] our new daily updates. We add loads of new trainings right there. We've got our plug in an open source image generation model like this into your Agent OS. And then it can generate images for you locally, too. And then also, you get

[05:03] ask questions, share your screen, meet other cool people. And then inside the map, you can meet people locally near you who are building with AI agents and see you inside there. Link in the comments and description or just go to

[05:17] the AI Profit Bomb.com. Thanks for watching.

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