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by jjcm6 hours ago |
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upvoteby copperx5 hours ago|
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By any chance did you tried Deepseek 4 or 4.1 and GLM 5.3 or flash?
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upvoteby jjcm5 hours ago|
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I've done GLM 5.3 previously here: https://news.ycombinator.com/item?id=49295420

Worth noting though that GLM 5.3 isn't multi-modal, so it doesn't have a vision layer. It is quite clever and hacks around it pretty effectively however. I'm running a deepseek 4 build now and will reply shortly with that.

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upvoteby fr33k3y2 hours ago|
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glm5.3-flash is multimodal and I\ve been testing it against opus over the last ~10 days and it does very well at a fraction of the opus price...
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upvoteby jjcm2 hours ago|
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I should give it a spin. 5.3 wasn't multimodal, but it looks like their flash release was. Thanks for the tip.
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upvoteby copperx1 hours ago|
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Deepseek 4.1 is also multimodal BTW
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upvoteby copperx4 hours ago|
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Awesome. You have a really neat benchmark.
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upvoteby naet6 hours ago|
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What is your workflow for making these?
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upvoteby jjcm5 hours ago|
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The designs are outputs from my own site. This has an overview of the process: https://diffui.ai/learn/new-site

The gist of it though is I take a prompt, expand it into a json blob specifying structure/palette/positioning of elements/etc, feed that into a diffusion model to output a few choices. Once I lock in a choice I take the pixel output + json blob and use it as input into followup pages. The json helps preserve the brand across multiple pages.

Once I have all the inputs I take their corresponding image+json blobs and feed them into an agent to create a web implementation.

For image models, diffui currently uses gpt-image-2.5, mai-image-2.6, and very, very rarely a post-trained version of flux 2 dev I've made for web design, though that one will be deprecated soon.

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