Automatic1111 for Apple metal, 40% speed up sd1.5
47 points by dmikey831 5 hours ago | 18 comments
jurgenburgen 4 hours ago
Trigger warning: AI content.
replytrencedamp 3 hours ago
If anyone is triggered by AI content they surely avoid HN
replyselectodude 2 hours ago
I love AI content. I hate content written by AI.
replyIt's not serious. It shows that the author doesn't care about showing what he's up to.
He cares about making content to post on a blog.
And that's disrespectful to the reader.
dmikeyanderson 2 hours ago
I'm not an editorialist, I spend my time on the software side of things, but want a detailed technical journal of what happened to achieve the gains. Also why the github link is near the top of the intro which I wrote. I'm not trying to disrespect the reader, but the time of the user of the software. Appreciate your view. I've made adjustments.
replyjurgenburgen 2 hours ago
I spend all day reading AI generated text in one form or other in my day job. When I come to unwind in HN I’m not interested of more of the same. Seeing “load-bearing”, “landing things”, “it’s not x, it’s y” makes me think of work. I honestly would rather read human text with typos and warts.
replyIronWolve 3 hours ago
Automatic1111 wasnt being updated, people moved to Forge Neo, ComfyUI and Maestro.
replyvunderba 2 hours ago
Invoke AI is also really good if you prefer working in a canvas-style environment, in a more traditional graphical way. It easily has the nicest workflows for outpainting/regional/inpainting by far.
replyDer_Einzige 3 hours ago
What a crazy repo. Some cyber archeologists need to do a case analysis of the entire diffusion model ecosystem circa the original Stable Diffusion up to now.
replysmallerize 4 hours ago
The speedup includes running LoRAs, right? Which ones are you using?
replydmikeyanderson 3 hours ago
Yes it includes LoRA composition as well, a bunch from the internet, and they work just fine!
replyyogorenapan 2 hours ago
A1111 is such a throwback. It's been ages since that & AI image generation was cool. Back before the massive amount of slop and when things were just a fun experiment
reply
Plus this was fun to learn where the attention and time spent is eating up. I plan to git into the UNet, and then do some Multi-Model Memory Attention tuning as well, for Refining and Inpaint Swaps for the 8Gb Macs.
Caveat: No idea how well A1111 and its variants function on Mac though.
These days I mostly use ComfyUI because after building out a node‑based workflow, it’s easy to export as a JSON file with websocket outputs that I can integrate into my programs.
https://github.com/Haoming02/sd-webui-forge-classic/tree/neo