Introducing GLM-Image

Posted by ResearchCrafty1804@reddit | LocalLLaMA | View on Reddit | 13 comments

Introducing GLM-Image: A new milestone in open-source image generation. GLM-Image uses a hybrid auto-regressive plus diffusion architecture, combining strong global semantic understanding with high fidelity visual detail. It matches mainstream diffusion models in overall quality while excelling at text rendering and knowledge intensive generation. Tech Blog: http://z.ai/blog/glm-image Experience it right now: http://huggingface.co/zai-org/GLM-Image GitHub: http://github.com/zai-org/GLM-Image

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greggh@reddit

@[ResearchCrafty1804](/user/ResearchCrafty1804/) or any other [Z.ai](http://Z.ai) employee, is this coming to the coding plan so we can generate images for our apps and websites while still in the same API?

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ikkiyikki@reddit

From an architecture pov isn't autoregressive a step backwards compared to diffusion? My understanding is that with AR an early token (or pixel cluster) that is output but is suboptimal is baked in and can't be replaced which is not the case with diffusion based models.

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eposnix@reddit

This model is actually both. But no, autoregressive isn't a step backwards, it's just useful for different things. An autoregressive model can take a prompt like "A page with the Pledge of Allegiance" and output full, perfect text, whereas that same prompt would output only garbled nonsense on a diffusion model.

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_VirtualCosmos_@reddit

Just saw this post [First test with GLM. Results are okay-ish so far : r/StableDiffusion](https://www.reddit.com/r/StableDiffusion/comments/1qcjoo5/first_test_with_glm_results_are_okayish_so_far/) and the results are meh, Qwen Image/Edit, Flux2 or even ZiT for T2I are far better. But it's cool that they released a new architecture.

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noage@reddit

Looking forward to the comfyui integration. An autoregressive model is certainly going to be no small task.

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much_longer_username@reddit

Why do you say that? The example python code looks pretty straightforward to integrate to me, what am I missing?

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noage@reddit

There have been previous autoregressive models which were never supported in Comfyui. I know even for software dealing with LLMs only, implementing different architecture can take a while (see QWEN next in llama.cpp).

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dreamyrhodes@reddit

That's where it would make sense, if the code provided was not just an example but a proper python module. I said it here before, and was attacked for that. But in proper software development you'd provide libraries containing your work so that other people could use it. The Comfy module then would be more or less UI integration and not implementation of the basic algorithm. But unfortunately here we are in research and not in software development. And so the creators of the tools each will implement the same thing on their own.

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Introducing GLM-Image

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13 Comments

greggh@reddit

ikkiyikki@reddit

eposnix@reddit

_VirtualCosmos_@reddit

noage@reddit

much_longer_username@reddit

noage@reddit

dreamyrhodes@reddit

Acceptable_Home_@reddit

KitchenFalcon4667@reddit

TennesseeGenesis@reddit

webheadVR@reddit

jamaalwakamaal@reddit