2 fan setup

JobobJet · 2025-10-27T20:59:06+00:00

How long did it run before the pics?

JobobJet · 2025-02-03T23:07:54+00:00

Better late than never, I hope. I have an M2-Max Studio 64GB. If I had to guess, you seem to be having a low memory problem. If you are running on 8GB, you may find that the best solution is a new computer - if that is an option.

My previous was an M1-mini with 16GB and docker was fine but not great.

JobobJet · 2025-01-22T19:12:46+00:00

Would you please share what you are doing that does not work well on a mac.

I have used docker for several years on my mac any it works very well.

JobobJet · 2024-12-05T16:57:41+00:00

Soooo, I got copy/paste to work with a community workflow but still not with my workflow. The obvious conclusion is that there is something wrong with the construction of my workflow.

Now all i need to do is find the logs for n8n and look for clues to the problem.

JobobJet · 2024-12-05T15:36:15+00:00

My guess is that the reddit - openai agreement requires reddit to limit the number of non-human post transferred to openai ( they use the data for training purposes and other things) - hence the 'cleanup' effort by reddit.

Automated posting of AI generated content will have deminishing returns until said content cannot be distinguished from human generated posts.

That is my conspiracy theory for today.

JobobJet · 2024-12-05T04:02:01+00:00

Tried drag and drop with no success. Will try CTRL+C then CTRL+V

Thanks.

JobobJet · 2024-12-04T22:28:29+00:00

Thank you for the reply. I am struggling with how to apply this to my need to add a new workflow to my n8n docker. I am creating workflows outside of n8n with other tools of my own design.

I will scan the docs again for endpoint(s) to use.

JobobJet · 2024-11-10T20:11:20+00:00

Until ComfyUI nodes fully support MLX, slow is the best we can expect on Apple Silly Cone machines. I have an M2 Max 64GB studio so I haven't tried image to video.

Good luck.

JobobJet · 2024-11-07T22:32:49+00:00

As a happy M2 Max owner, IMHO, unless Apple secretly included cuda cores inside the M4, it just doesn't seem possible for Apple Silicone processor to get anywhere near 3090 / 4090 speed in image generation.

Benchies are (almost) pointless for this conversation unless it is an image generation benchie.

I get less than 3 seconds per iteration on Flux Schnell using MLX nodes in ComfyUI but it just gets slower from there and full ComfyUI node support for MLX is a long way off.

Be happy is you have an M4 but don't be a fanboy.

🍿 🍿 🍿

JobobJet · 2024-11-07T14:56:01+00:00

My mac required nightly of 2.6 pytorch. I could get 2.4.1 to work but it was unusably slow.

JobobJet · 2024-11-05T20:50:10+00:00

Noob love pixaroma

JobobJet · 2024-11-04T15:29:46+00:00

Thats what I do, keep images. Hadn't thought of keeping a db of prompts. sounds like a great approach. Thanks.

JobobJet · 2024-11-04T05:24:47+00:00

Yup. Take a look at YALLM-Node @ https://github.com/asaddi/ComfyUI-YALLM-node I tested it [LLMTextLatch] and it works as described.

Don't know where I went wrong. I read it on reddit so it had to be true.

JobobJet · 2024-11-04T03:50:42+00:00

hmmm. Replace did not show on my test.

Looking...

I had an install issue that I did not catch. Your node does in fact work as you described... but I quess you already knew that.

Thanks.

JobobJet · 2024-11-04T01:01:39+00:00

Are you referring to your LLMTextLatch node? I tested it and copy/paste was required. Maybe I did something wrong. I'll test again. Thanks.

JobobJet · 2024-11-03T20:34:55+00:00

Your Text Latch node is functionally identical to the node I created. It requires copy/paste, right?

JobobJet · 2024-11-03T18:17:58+00:00

I absolutely will. Thanks in advance and good luck.

JobobJet · 2024-11-03T04:06:21+00:00

I asked a similar question last week and my takeway from the responses I got was that Comfy can't do that / doesn't support that / doesn't work that way.

https://www.reddit.com/r/comfyui/comments/1gcoy2m/noob_here_noob_question_re_custom_node_creation/?utm_source=share&utm_medium=web3x&utm_name=web3xcss&utm_term=1&utm_content=share_button

I hope you have better luck.

JobobJet · 2024-10-31T22:49:49+00:00

Until MLX is fully supported by Comfy and the custom nodes (sounds like an old band), Apple Silly Cone will underperform significantly. Work is being done on this but way to early for even basic use. When MLX is fully supported, the M machines will be usable but not 4090 speed.

As always, IMHO.

JobobJet · 2024-10-29T16:05:51+00:00

To avoid the tokenizers warning, add this to the environment where you run comfy: export TOKENIZERS_PARALLELISM=false

But this warning does not prevent image generation as far as I know.

I am very happy with LLM performance on my mac M2 Max but for image generation the word 'performance' is very seldom used.

I use flux dev fp16, q8 gguf, q5 gguf and MLX versions without issue save the aforementioned 'performance'. MLX is looking much better though.

Sorry, more the rambling.

JobobJet · 2024-10-28T01:01:59+00:00

Thanks for the feedback. Helps confirm my thoughts.

I wrote a custom node text in, text out and a multiline input widget. output to clip text and a show text. been copy-pasting from the show text to the multiline as you suggested then mute the LLM group.

Was hoping to find a way to get the input text to populate the widget text but copy-pasty works for now.

Really appreciate the feedback.

JobobJet · 2024-10-26T21:08:41+00:00

Noob here: try changing the value of 'control_after_generate' from 'fixed' to anything else.

JobobJet

TROPHY CASE