Instruction-Based Image Editing via LLM
github.com
Instruction-Based Image Editing via LLM
1–10 of 12 posts
Re: Instruction-Based Image Editing via LLM
#2It's incredible to see Apple contributing here. Excited to see what they bring to their platforms.
Re: Instruction-Based Image Editing via LLM
#3I wish they had more examples. the image doesn't seem to be that much better than if you generate an image with stable diffusion and then tweak the prompt.
Re: Instruction-Based Image Editing via LLM
#4I came up with a similar idea to this (also pre-Dalle edits-via-instruction) with the idea that prompting generators kinda sucks (also chat interfaces for image editing aren't great) and really you just want to explore the latent space "around" an initial prompt.
Here's an overview of the tool (Dreamwalker): https://www.youtube.com/watch?v=k_mJgFmdWWY
And you can download/use it for free here (mac/pc): https://forums.afterschool.studio/t/dreamwalker-alpha-2-rele...
Re: Instruction-Based Image Editing via LLM
#5It's incredible to see Apple contributing here. Excited to see what they bring to their platforms.
Why is this being downvoted? Agreed. They have acquired so much talent [1] in this space, it's exciting to start seeing things come out of that.
Re: Instruction-Based Image Editing via LLM
#6Has there been any work done on charts, graphs, and data visualizations produced by large AI generative models?
Re: Instruction-Based Image Editing via LLM
#7Has there been any work done on charts, graphs, and data visualizations produced by large AI generative models?
I came across this yesterday https://news.ycombinator.com/item?id=39265127
Re: Instruction-Based Image Editing via LLM
#8What's interesting to me is that the project feels very "un-Apple", despite being open-sourced under the Apple org; some typos and lack of proper punctuation in the README, using jupyter notebooks for the data processing instead of scripts or a CLI, poor repo organization, no comments even in the demo: https://github.com/apple/ml-mgie/blob/main/demo.ipynb
Apple truly becoming an ML company when they release ML Engineer quality code ;)
Re: Instruction-Based Image Editing via LLM
#9What's interesting to me is that the project feels very "un-Apple", despite being open-sourced under the Apple org; some typos and lack of proper punctuation in the README, using jupyter notebooks for the data processing instead of scripts or a CLI, poor repo organization, no comments even in the demo: https://github.com/apple/ml-mgie/blob/main/demo.ipynb Apple truly becoming an ML company when they release ML Engine…
Clicking on the names at the top of the readme, it appears as though it is a collaboration of researchers both inside and outside of Apple.
Re: Instruction-Based Image Editing via LLM
#10> Notices: Apple's rights in the attached weight differentials are hereby licensed under the CC-BY-NC license. Apple makes no representations with regards to LLaMa or any other third party software, which are subject to their own terms.
Wait, they can do that? Assuming weights have copyright, shouldn't the finetuning be a modification of the original work and so have the same license?