121–130 of 199 posts
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As a slightly shameless plug, I've been hacking up a UI specifically for that fork with a focus on a more efficient workflow for image synthesis. A demonstration video can be found here: https://vimeo.com/748114237 If people have any sort of feedback I'd love to hear it, or if people have some specific features that are missing from the other UIs :)
Bravo. This looks really promising and is exactly the sort of thing one needs to get models like these to generate what you imagine.
Hopefully I can do a Show HN in the future, when/if there is a free version for people to play around with, and get some really good feedback that way.
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Does it work with pornographic or potentially pornographic prompts?
And the real questions come out. Seriously though, I imagine this is less a case of whether this specific implementation permits pornography, but whether any porn was included in the dataset it was trained on. No matter how good AI is, it only knows what it knows.
The filter should be easy to remove and there are already people who simply removed the filter.
Any benchmarks on this? How long does it take to generate a batch of images, say with steps=100?
On my M1 MAx with 32 GB I'm getting 1.5 iterations/second (ie, ~30 seconds for the standard 50 iterations) using this example: https://github.com/nlothian/m1_huggingface_diffusers_demo
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Its only a question because devs went out of their way to limit it, to everyones surprise Its like if Photoshop broke itself when you tried to modify or create anything nude or provocative, as the default That would just be weird and thats what these AI software devs have done so everyone patches that contrived feature flag, but nobody knows if they patched it
Fun fact: Photoshop does exactly that if you open images of currency. See: https://helpx.adobe.com/photoshop/cds.html
If we can have "keyframes" with prompts that would output a PNG sequence or video, that would be awesome.
I don't understand why all these crazy forks don't switch to using the HuggingFace codebase[1]. It's much better code and easier to add features to. It's true you have to use the code from git rather than a release, but that's not hard. https://github.com/nlothian/m1_huggingface_diffusers_demo is my clean demo repo with a notebook showing the usage. The standard HuggingFace examples (eg for img2img[2]) port across wi…
This really is a one-click installer, which is excellent. As far as I know it's the first and only one for M1. It's quite a polished UI, but there are a lot of features missing. The first ones that come to mind are: - No way to specify a seed. This is an important part of SD workflows, letting you redo an image with a slightly tweaked a prompt. - No way to specify a custom model. Alternative models (such as Waifu Dif…
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Yes: https://nmkd.itch.io/t2i-gui No idea if it supports AMD GPUs though.
Do you have any info on perf compared to this: https://news.ycombinator.com/item?id=32805174
Both of my M1 Macs only have 8G of RAM. Is it a waste of time trying to run this with 8G?