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I know this isn't the request thread, but those Koi look great. Could you make some koi-dragons for 2024?Hey now, I need no beaver now. Not when I have Jesus Koist, Superstar!
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edit: You know what. I never put up these cute koi-horsies I made a few days ago.
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On vacation til mid January with just phone access. You can make them tourself on bingai.I know this isn't the request thread, but those Koi look great. Could you make some koi-dragons for 2024?
I just tried my example prompt and it worked pretty great. These are literally the first four results.On vacation til mid January with just phone access. You can make them tourself on bingai.
Prompt should be something like:
"Chinese New Year dragons. They are koi fish. Koi fish scales. Chinese dragon body. Sanke koi."
You have to specify koi fish instead of just koi because Microdick autochanges koi to coy when alone and you just end up with dragons giving you bedroom eyes.
The kernel should make no difference. I'd try A1111/SD.next and see if that makes a difference. I assume your torch and rocm versions match.So I managed to get ComfyUI running on a 7800xt GPU on Linux Mint. I'm getting around 2-3 it/s for a 768x768 image which is a major improvement over my 1050ti. That would generate an image of the same size at 5 s/it. I know the 7800xt doesn't have official ROCm support and AMD lags behind Nvidia for Stable Diffusion. However, according to the SD benchmarking website (just type in 7800xt), I could be getting around 10 it/s on the same model I'm using with my 7800xt. The other users are also running it on Linux so it's not an issue with me missing DirectML or Microsoft Olive. I'm running the latest Torch and ROCm as well. The only real difference I can see is that they are running Automatic1111/SD.Next and they're running it on the 6.2.0 Linux Kernel while I'm on the 6.5.0 version. Is this a limitation of ComfyUI vs. Automatic1111/SD.Next or am I missing some launch commands for ComfyUI? It's hard to find info about running SD on my card so any help would be appreciated.
SD.Next seems to give me similar performance and my benchmark is showing 5.76/3.5/3.79 it/s. A repeat shows 5.87/7.14/8.1 it/s with differing optimizations. I'm going to guess the differences are from that and me using the nightly version of Torch. It's hard to find, but I found some users on Github that said they had performance drops with newer versions of Torch on different RDNA3 gpus. I'm probably just going to have to wait until the 7800xt is officially supported. The 7900xtx and 7900xt recently got support and they seem to have consistent performance, so I hope that filters down soon.The kernel should make no difference. I'd try A1111/SD.next and see if that makes a difference. I assume your torch and rocm versions match.
In my world the best way to troubleshoot performance is to start as close to the reported system as possible and see how that looks.
I should also probably try SD.next and see how my AMD compares to the benchmarks. It seems slow, but I can't find any good SDXL expected benchmarks for it.
No. It mostly depends on what model/checkpoint you're using. If it's something like Midjourney or DALL-E, the colours used tend to be saturated, lending to a dreamy sort of feel. With something like Stable Diffusion that has a plethora of checkpoints to choose from, you can go from flat 2D animation to 3d photorealism.Does AI-made art always have that surrealism feel?
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I still see AI-generated art as always having more or less of this surreal feel to it, whether or not it's photorealistic.