I think it’s that you need to be able to throw parallel processing at a lot of RAM. If you want to do that on a PC you need a GPU that has a lot of RAM, which you can only really buy as part of a beefy GPU. You can’t buy a midrange GPU and duct tape DIMMs onto it.
The Apple Silicon architecture has an OK GPU in it, but because of how it’s integrated with the CPU, all the RAM in the system is GPU RAM. So Apple Silicon Macs can really punch above their weight for AI applications, because they can use a lot more RAM.
May I ask what modela you use to generate these? I got DiffusionBee, and the two models it downloaded by default, while impressive on their own (I mean… text to images? Magic!), the results are nowhere near as good as your images.
It’s a merge of Realistic Vision 4, LazyMix+, and URPM with weighting towards realistic vision 4. There are probably better merges and maybe even better models to use, but these have helped me generate some realistic stuff. I also use a fair amount of experimenting with LoRas and Controlnets along with dynamic prompts to test variables (prompt components or parts).
Get the hell out, for reals?!
I always thought that this kind of application would require a beefy desktop computer with powerful GPUs.
Are these images generated offline?
I think it’s that you need to be able to throw parallel processing at a lot of RAM. If you want to do that on a PC you need a GPU that has a lot of RAM, which you can only really buy as part of a beefy GPU. You can’t buy a midrange GPU and duct tape DIMMs onto it.
The Apple Silicon architecture has an OK GPU in it, but because of how it’s integrated with the CPU, all the RAM in the system is GPU RAM. So Apple Silicon Macs can really punch above their weight for AI applications, because they can use a lot more RAM.
It’s a ridiculously powerful machine. Running AI stuff caused the fan to spin on for the first time. It destroys everything else.
May I ask what modela you use to generate these? I got DiffusionBee, and the two models it downloaded by default, while impressive on their own (I mean… text to images? Magic!), the results are nowhere near as good as your images.
It’s a merge of Realistic Vision 4, LazyMix+, and URPM with weighting towards realistic vision 4. There are probably better merges and maybe even better models to use, but these have helped me generate some realistic stuff. I also use a fair amount of experimenting with LoRas and Controlnets along with dynamic prompts to test variables (prompt components or parts).
M2 is a damn good chip and this is coming from someone who has not and probably never will buy an Apple product.
Yes, they’re genrated offline.