Stable Diffusion - Mac vs RTX4090 vs RTX3060 vs Google Colab - how they perform.

A comparison of running Stable Diffusion Automatic1111 on
- a Macbook Pro M1 Max, 10 CPU / 32 GPU cores, 32 GB Unified Memory
- a PC with a Ryzen 9 and an NVIDIA RTX 4090, 24 GB VRAM, 64 GB RAM
- a PC with a Ryzen 5 and an NVIDIA RTX 3060, 12 GB VRAM, 32 GB RAM
- Google Colab on a NVIDIA Tesla T4 , 16 GB VRAM, 12 GB RAM

Going through a variety of real-life test cases on each system, comparing their performance price and power usage. Also giving you my personal experiences and conclusions.

Some useful links:
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Google Colab Notebook for Automatic1111:

Install Automatic1111:

Install Vlad Stable Diffusion:

00:00 Intro
01:15 Comparing the systems
02:22 Benchmarks
07:33 Ratings
08:19 Conclusion

#benchmark #stablediffusion #automatic1111 #rtx3060 #rtx4090 #macm1 #googlecolab

[Kowalski]

Great video! Another great budget card these days is the 4060TI with 16 GB.

[cmdr_talikarni]

My experience with my PCs: Win10, Fooocus 2.5.0 (SDXL 1.0), 1024x1024 image, base "realistic" preset, no other models or LORAs. Latest GPU drivers installed.
Ryzen 5600X, 32GB DDR4-3200, 8GB RX7600 with PRO 24.Q2 drivers, Fooocus AMD version: avg 261 seconds per image
Same PC with 24.7.1 gaming driver: 318 seconds per image
Same PC with ComfyUI ZLUDA, PRO drivers, same model and settings: 340 sec per image
Ryzen 5600G, 16GB DDR4-3200, 8GB RTX3050, standard Fooocus CUDA version: avg 33 seconds per image
Newegg has a 12GB 2060 (refurb) for $170 so I have it on the way for additional testing this week.

[arturabizgeldin]

Thanks for this comparison, really helpful!

[why__die]

amazing video, thank you. would love to see a comparision between the new m3 chips!

[Gabriecielo]

The problem with Mac is till now, they still only partly support pytorch, and speed is still as slow as you tested. I'm using a M2 Mac Studio with 32GB ram.

[psynchro]

So helpful! This is exactly what I would have done had I set up a test to make a decision. I have the same macbook as you and have only tried on it and my RX570 on a PC system using A1111. Since the 4070s went on sale, I have been asking myself if I should upgrade my PC. From Tom's hardware benchmarks (which are not as helpful as yours) I can see the 4070 would probably be between the two Nnvidia cards you tested. Very very helpful, also doing SDXL and hires x 2. Thanks!

[ronuhz]

The mac’s speed can be improved by running macOS Sequoia and by converting the Stable Diffusion model from Safetensors (or any other type) to CoreML so it can run on the Nerual Engine instead of the GPU or CPU. These can vastly improve the performance.

[mrbabyhugh]

7:57 i been using colab to get to familiarize myself with SD. I feel I am now enough and want to start generating locally. I don't want to invest too much initially, so I am trying to figure out what's the best low with good enough performance and I thought the 3060 would be a good start, nothing less. Your test suggest that, now I trying to decide between RTX 3060 vs RX 6600 vs Arc 580 >. I am next going to see if Arc can generate and if so, at what results. 5700XT should be good too, but for SURE the power consumption will be crazy.

[WabiSabiVibes_]

What is your opinion on 3090 GPU? It is also very efficient and has perfect price/perfomance ratio (especially used GPUs) and 24 GB onboard

[mrquicky]

I love the comparison and pretty much agree with your conclusion. Having seen a previous comparison, I'd go with the Mac M3 Max as the top tier choice. The 4090 could just barely keep up with it.

[relativityboy]

Perfect video. Thanks for the information!

[minhngoctran]

very nice video. this is what i need. Maybe do a comparision between AMD, Arc and Nvidia if you can. I thought of buying a 3060 12gb for SD, 4060 16gb looks nice but i will wait for 5060 or better if they have more VRAM.

[thiago]

Hello. help me with choosing a video card for the difusion stem.
I have a choice between rtx 3060 12gb, intel arc 770 16gb and rtx 4060 8gb, what do you advise?

[tripleheadedmonkey]

Try running ComfyUI on your MAC. I've heard support is much better. Also, using the Stable Swarm fork of Comfyui you can use multiple PC's and GPU's in parallel processing.

[NeonPixels]

For some reason, I get much better aesthetics on my RTX3060 Ti than my RTX 3070, even with all of the exact same settings. Can't figure out why for the life of me.

[SunnyWinterz]

Great video comparison, however it's worth noting that Macs with M2 chips are significantly faster with Stable Diffusion, and I imagine the M3s will be insane. Some people have shared their SD M2 performance online such as Reddit. So yeah, don't get an M1, but M2 or M3 are excellent for SD.

[msEllegant]

Thank you.. exactly what I was after..😅

[zedboiii]

does colab free generation time slower than the $10 subscription? i have been using the free version for a while and still can't decide if i want to subscribe. im not a heavy user just generating image as a hobby

[haris]

I didnt understand about colabs, does it has limit on generated image per month?

[zoulouad]

Good morning, i'm just wondering how much time the RTX 3060 took to generate a 1920x1080 image ?