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Show HN: ML Blocks – Deploy multimodal AI workflows without code

mlblocks.com

11–20 of 33 posts

Re: Show HN: ML Blocks – Deploy multimodal AI workflows without code

#11

I like the idea of node based image editing. It reminds me of when learning how to write shader code for games and GLSL was waaaay too over my head until I discovered node based shaders, and I didn't have to wrangle with coding and instead focusing experimenting with different nodes. However soon creating a "shader that works" was no longer an issue but how to create X effect using shaders was my next blocker, and lu…

Theoretically yes, with a few limitations.

The walking animation is going to be a lost cause without specific inputs. We can do ControlNet stuff to make a character match a pose, and you can supply a series of poses that represent the walking animation.

On some level it seems silly to try and get anything to generate the workflow to do that. What you really want is a workflow to generate an image off of a pose, and then pass in the poses you want. Side tangent, I don’t know why the ai generation community has decided “workflow” is what they’re going to call “functions”?

After that your problem is that the results will be kind of meh. And that’s the brunt of where it’s at right now. You can make assets that satisfy descriptive conditions. But you can’t demand they be good. And you can’t demand they be consistent across different drawings. Can you hire an artist to fix your generated directionally correct assets? Yeah, maybe. Sounds depressing and error prone though.

Re: Show HN: ML Blocks – Deploy multimodal AI workflows without code

#13
This is amazing! Really helps with those of us who are just getting started building workflows for AI images for ecom. Are there any plans to add bulk processing capabilities, allowing workflows to run on multiple images automatically without manual UI interactions?

Re: Show HN: ML Blocks – Deploy multimodal AI workflows without code

#15
post #12

Sorry to write this comment: isn't it exactly like ComfyUI?

Builder here! We are inspired by ComfyUI.

I would say that although the form factors look similar, we are operating at a different abstraction level. ComfyUI focuses on components within the HuggingFace diffusers ecosystems and allow artist to recompose different workflow to come up with amazing visual effects.

We're trying to offer a way for people to recompose apps/apis with foundation models!

Re: Show HN: ML Blocks – Deploy multimodal AI workflows without code

#16
post #14
post #12

Sorry to write this comment: isn't it exactly like ComfyUI?

Comfyui is just for interacting with stable diffusion. This supports other models.

Thanks you beat me to it :)

That being said, you're not wrong. It's definitely inspired by ComfyUI. But, with much simpler abstractions, much broader utility and extensions like building a user front end coming up shortly

Re: Show HN: ML Blocks – Deploy multimodal AI workflows without code

#18
post #12

Sorry to write this comment: isn't it exactly like ComfyUI?

I think chaiNNer might be a better comparison, although both are used locally to process images while this looks like it's meant to easily build an API. I think it looks neat, I think a lot of people will find this very useful.

Re: Show HN: ML Blocks – Deploy multimodal AI workflows without code

#19

This is amazing! Really helps with those of us who are just getting started building workflows for AI images for ecom. Are there any plans to add bulk processing capabilities, allowing workflows to run on multiple images automatically without manual UI interactions?

We started this to solve bulk processing issues we had when building a previous eCommerce tool so I 100% know what you mean. We're adding API support soon and we'll add some examples of how to connect this to Shopify or something like Airtable/ Strapi / Retool etc for workflow automations

Re: Show HN: ML Blocks – Deploy multimodal AI workflows without code

#20
post #12

Sorry to write this comment: isn't it exactly like ComfyUI?

I think chaiNNer might be a better comparison, although both are used locally to process images while this looks like it's meant to easily build an API. I think it looks neat, I think a lot of people will find this very useful.

Thats true. We started off with a base set of blocks but i think the real utility will come in the easy orchestration and api end point building. We're pushing in the direction of apis and shareable workflows so hopefully some of these comparisons get clarified soon
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