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Show HN: Ideogram 4.0 – open-weight 9.3B text-to-image model

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Show HN: Ideogram 4.0 – open-weight 9.3B text-to-image model

#1

Post by pigcat »

It's our new text-to-image model: a 9.3B single-stream diffusion transformer trained entirely from scratch.

We focused heavily on controllability through structured JSON prompts, with strong text rendering, spatial awareness through bounding box guidance, and color palette control.

It has the best text rendering of any open-weight model we've tested so far, and the NF4 quantized checkpoint runs on a single 24GB GPU.

For more technical details and examples see our blog post: https://ideogram.ai/blog/ideogram-4.0/

We will be happy to answer any questions :)

Show HN: Ideogram 4.0 – open-weight 9.3B text-to-image model
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Re: Show HN: Ideogram 4.0 – open-weight 9.3B text-to-image model

#3

Post by elpocko »

Non-commercial license, you should not call that "open-weight". Words have meaning.

And people are having a laugh at how censored the model is.

https://old.reddit.com/r/StableDiffusion/comments/1tvtu2u/id...

https://old.reddit.com/r/StableDiffusion/comments/1tvxhzv/id...

Re: Show HN: Ideogram 4.0 – open-weight 9.3B text-to-image model

#4

Post by zekejohn »

elpocko wrote: post #3

Non-commercial license, you should not call that "open-weight". Words have meaning. And people are having a laugh at how censored the model is. https://old.reddit.com/r/StableDiffusion/comments/1tvtu2u/id... https://old.reddit.com/r/StableDiffusion/comments/1tvxhzv/id...

[flagged]

Re: Show HN: Ideogram 4.0 – open-weight 9.3B text-to-image model

#5

Post by aaraujo002 »

elpocko wrote: post #3

Non-commercial license, you should not call that "open-weight". Words have meaning. And people are having a laugh at how censored the model is. https://old.reddit.com/r/StableDiffusion/comments/1tvtu2u/id... https://old.reddit.com/r/StableDiffusion/comments/1tvxhzv/id...

The model should perform better with JSON prompts than with natural language prompts. The safety filter may also be triggered incorrectly by natural language prompts, we are aware of this and will make a future checkpoint update to improve it.

See how to prompt the model here: https://github.com/ideogram-oss/ideogram4/blob/main/docs/pro...

Disclaimer: I work at Ideogram.

Re: Show HN: Ideogram 4.0 – open-weight 9.3B text-to-image model

#7

Post by vunderba »

Nice to see another locally hostable model! It’s going to take me a bit longer to add this model to the GenAI Showdown benchmark [1], since I’ll need to add a bit of customization so it produces highly optimized JSON-structured prompts.

It might be worth noting that fal.ai [2] (a fairly popular router in the generative AI space) doesn’t really mention or emphasize the JSON-structured prompt format, and seems to suggest it works just as well with natural language. It might be worth reaching out to them, at least to clarify this point and make things a bit clearer.

[1] - https://genai-showdown.specr.net

[2] - https://fal.ai/ideogram-4

Re: Show HN: Ideogram 4.0 – open-weight 9.3B text-to-image model

#8

Post by pigcat »

vunderba wrote: post #7

Nice to see another locally hostable model! It’s going to take me a bit longer to add this model to the GenAI Showdown benchmark [1], since I’ll need to add a bit of customization so it produces highly optimized JSON-structured prompts. It might be worth noting that fal.ai [2] ( a fairly popular router in the generative AI space ) doesn’t really mention or emphasize the JSON-structured prompt format, and seems to sug…

[1] Nice, let us know if you need a hand

You can call our API to generate structured json from text using this endpoint (this endpoint is free of charge, but you need a free account to create an api key): https://developer.ideogram.ai/api-reference/api-reference/ma...

[2] Fal runs the text_prompt (natural language) through the magic prompt system, so indeed results should be good there

Re: Show HN: Ideogram 4.0 – open-weight 9.3B text-to-image model

#10

Post by Frannky »

What are the best alternatives for template + text rendering? I need Canva-level templating ability with the system matching font dimensions, positions, and the image without background.

I ended up creating an algo using color variance and auto-sizing, an LLM to select the fonts and text and nano banana. The thing I need is nano-banana-level images with Canva+human-level abilities automated.

It would be awesome to have a free LLM that can do that. Running on a 16GB RAM Mac. I have a lot of images and templates I can train on too. Not sure if I overengineered it, would love to have just one LLM that can do everything for free.

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