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FREE Local Image Gen on Apple Silicon | FAST!

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Step by step setup guide for a totally local Image Generation with a ChatGPT-like UI using stable diffusion. A continuation of my Step by step local LLM guide here: • FREE Local LLMs on App...
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Опубликовано:

19 авг 2024

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Комментарии : 83

@jahanormatov2642 2 месяца назад

Awesome guide, thanks a lot Alex! Tried using A1111 last month or so, but today learned ComfyUI is also supported by Apple Silicon. Turns out, it's more optimised and much faster! Does not use too much RAM compared to A1111, and ComfyUI can even run models that were crashing on A1111 (on GPU poor 8GB base Mac). The setup and usage is slightly more advanced but not by much, and a guide from you would be appreciated!

@luc122c 2 месяца назад

The pace of this video is brilliant. Quick but with all the relevant information.

@AZisk 2 месяца назад

I tried

@grandvidocs 3 месяца назад

Like that Alex reacts to comment quite fast. Thanks, this video is useful

@AZisk 3 месяца назад

You're welcome!

@hubby_medical5454 2 месяца назад

Im a former data scientist (doing the whole medical school thing now), and this channel gives me the Data Science Developer Fix I need sometimes. Thank you for your content. Us Tech nerds love you more than we can comment. now back to studying lol

@enzocaputodevos 3 месяца назад

Once again, you are taking the perfect approach to achieving success! Thank you.

@trewgas 2 месяца назад

Insane how underrated your channel is. Kinda like it that way tbh... But seriously, I love you Alex.

@tinkerman1790 2 месяца назад

I really enjoy watching your video. It is informative in a vibe of fun. Thx for your effort!

@AZisk 2 месяца назад

Glad you enjoyed it!

@Raj-kd5ly 2 месяца назад

I love to watch your videos! It's so fun and at the same time informative as well.

@AZisk 2 месяца назад

Oh thank you!

@derter2007 3 месяца назад

My M1 MBA 8/256 will definitely die trying to generate any of these (

@alex_schwartz 3 месяца назад

Probably need at least 16gb RAM machine

@jakeave 3 месяца назад

RIP 8gb

@AZisk 3 месяца назад

idk. try and let us know.

@shashanks5469 3 месяца назад

Any luck? Let us know the result

@hodev632 3 месяца назад

M1 only works great with the phi3 model for text generation, You need 16gb of ram for image and bugger model

@bloombird807 3 месяца назад

This is awesome!! Thank you for sharing this 🤯

@AZisk 3 месяца назад

Glad you enjoyed it!

@richard_loosemore 18 дней назад

"You shouldn't be doing this at work anyway!" LOL. This IS my work. 🙂

@originalmagneto 3 месяца назад

can’t wait for custom MLX models to show up 😉

@jake-ep9wq 2 месяца назад

Thank you so much for these videos. They’re perfect for me as a new Mac user with little knowledge of the terminal commands.

@sweealamak628 2 месяца назад

May 2024 has been a watershed month. For the first time in my life, I really felt I've fallen behind. M4, Gemini 1.5, ChatGPT4o, Copilot+PC with Snapdragon X Elite. So much tech that my M1 MBA 8GB RAM will fail to take advantage of and fail to compete with. All this including local LLMs that are too resource intensive to even try out. My next laptop could well be a Windows PC if Apple doesn't address the RAM situation in their base models.

@udaradeshan1410 3 месяца назад

Just use diffusionbee

@Dominik-K 2 месяца назад

This is really useful. Thanks a bunch for the gotchas and tutorial

@carloseduardoalmeida6469 2 месяца назад

Amazing content. Loving these tutorials!

@DonaldLivingston 3 месяца назад

This is some cool stuff. Keep it coming!

@Doogiej84 2 месяца назад

Do a videos with TTS please

@kekincai 2 месяца назад

great tutorial，thanks

@noahleaman 2 месяца назад

An overview of Pinokio would make for a good video

@GetzAI 3 месяца назад

Thanks Alex. What are your thoughts on M4 and how it will speed up inference when released to Macs?

@lambfbbd 2 месяца назад

Hi, Alex, Thankyou you teach us so funny. I like it. But it would be better if you make it as docker image, or teach to make it as docker image, because I dont want to make chaos with different environments of python.

@FaysalBDev 2 месяца назад

amazing stuff

@natieklopper 2 месяца назад

BTW A1111 already creates a conda environment when running anyway

@RomPereira 2 месяца назад

I never told you, but I met an austrian cousin from Mr. Schwarzenegger. Really skinny guy and short. I guess Mr. Schwarzenegger had good bones.

@AZisk 2 месяца назад

🤣 did he look like the stable diffused guy?

@RomPereira 2 месяца назад

@@AZisk It was Biofach 2004, and we had a booth at the fair. There were organic foods, cosmetics, and various products from all over Europe. One of the companies there manufactured mattresses made from organic seeds. A salesman from that company, who was a really nice person, stood out. However, his Austrian coworkers kept making fun of him because he was a cousin of the famous Arnold Schwarzenegger. Although he was short and skinny, he shared many facial features with Mr. Schwarzenegger, but in a more rugged way. I'm sorry if my English doesn't allow me to describe it better.

@suraleisme 2 месяца назад

thanks for videos! can you do one about the music/samples generation?

@derter2007 3 месяца назад

boom!

@AZisk 3 месяца назад

💥

@lowkeygaming4716 2 месяца назад

Now I'm curious. I'll try it in my m1 air hopefully it won't toast my machine 😂

@alliwene 3 месяца назад

I'm running openwebui in a docker container and it can not access localhost, how can I go about it?

@osekagorska2330 2 месяца назад

Same here :(

@DadEncyclopedia 2 месяца назад

I used the “host.docker.internal” for connection.

@everlasts 3 месяца назад

Great video!! how about local Text-To-Speech for local webUI also? combine with image recognition then we will have chatGPT-o local version :) Thanks!

@candyman3537 23 дня назад

Nice one. If it's possible to use Ollama directly to generate image?

@RichWithTech 2 месяца назад

Brilliant, Can you do a windows one?

@benjaminmuller5261 2 месяца назад

Is there a way to use the image AIs without all the frontend overhead? :)

@aeonlancer 3 месяца назад

The last boom! was not enough

@jakeave 3 месяца назад

Thank you!!! The free models look like Dalle from last year, so maybe next year the free models will look like Dalle this year. I've spent way too much free time messing with ollama and open web ui because of your last video. Could you look into the RAG and the web search features? I've never gotten web stuff to work, but I feel like RAG documents do work, but I haven't been too successful messing with it. There's not a lot of content on it, but it seems like a perfect way to put my existing repo or repos so that the model can pick up on conventions and context.

@youtindia 3 месяца назад

There are way better models available. Just that he's not using the right ones. He's using random models from SD1.5 which was forever ago. I'd recommend something like RealVisXL based on SDXL and there are super fast lightning models too.

@Gome.o 2 месяца назад

Or you could just install something like Mochi Diffusion or Guernika?

@shiyammosies5975 Месяц назад

I don't see images under settings in openwebui - was it disabled?

@yorkan213swd6 2 месяца назад

Why not NPU ?

@MiltonSun 3 месяца назад

I do have source code of product (bash script, python, c++), could you use llama read the source code and help troubleshooting problem on log files?

@abduislam23 3 месяца назад

Really nice Can I run this from external storage?

@andreaslassak2111 2 месяца назад

It can also run on Linux :) and Windows 10/11 .. let see how it runs on Win11 ARM :)

@bacult1 2 месяца назад

Hi Alex. What do you think is good for newb IT...MacBook Air M3 24GB 1 TB or MacBook Pro M3 18GB 1 TB (15" and 14")... (coding, parallels, adobe -all programs, ...maybe machine learning) Thanks, Spasibo.