4 ms·

We don't need a new job position, what we really need is a LLM to generate good prompts...

jaggederest 4y ago
In all seriousness I've found that asking them to generate their own prompts can be very useful. It's a bit like a perl script that outputs a perl script.
itronitron 4y ago
You just need an LLM to generate random prompts and a sweatshop in Manila that filters out the bad ones.
- pkaye 4y ago
  Just put a couple AI in a sweatshop to do the filtering. By sweatshop I mean the AI computers gets all crammed together with no cooling to same money.
  - arthurcolle 4y ago
    is this a college dorm metaphor? Haha
barking_biscuit 4y ago
It has been amazing to watch the feedback loop with tools like Stable Diffusion where you see two types of strategy for solving problems of missing functionality. The first strategy is coming up with some long winded manual process involving disparate tools and several steps. The other is simply train a model to do what it is you want automatically. It has fast taught me that there is no competing with this new paradigm, and those capable of being able to solve their problems by building models will totally leapfrog those that have to do things the old way.
- Syntonicles 4y ago
  Could you give me some concrete examples that come to mind? I'm new to Stable Diffusion but have been using it a lot lately.
  - barking_biscuit 4y ago
    ControlNet was a stepwise improvment when in being able to generate a character in a specific pose as compared to trying to coax SD into giving you an approximation of what you wanted through Prompt Engineering. People training and releasing custom models that can replace entire workflows of disparate steps needed to produce an image that would normally result from that workflow. There was that video or maybe it was an article where the guy made it so he could just use natural language to describe the edits he wanted made and it would make them etc.

In all seriousness I've found that asking them to generate their own prompts can be very useful. It's a bit like a perl script that outputs a perl script.

itronitron 4y ago

You just need an LLM to generate random prompts and a sweatshop in Manila that filters out the bad ones.

pkaye 4y ago
Just put a couple AI in a sweatshop to do the filtering. By sweatshop I mean the AI computers gets all crammed together with no cooling to same money.
- arthurcolle 4y ago
  is this a college dorm metaphor? Haha

barking_biscuit 4y ago

It has been amazing to watch the feedback loop with tools like Stable Diffusion where you see two types of strategy for solving problems of missing functionality. The first strategy is coming up with some long winded manual process involving disparate tools and several steps. The other is simply train a model to do what it is you want automatically. It has fast taught me that there is no competing with this new paradigm, and those capable of being able to solve their problems by building models will totally leapfrog those that have to do things the old way.

Syntonicles 4y ago
Could you give me some concrete examples that come to mind? I'm new to Stable Diffusion but have been using it a lot lately.
- barking_biscuit 4y ago
  ControlNet was a stepwise improvment when in being able to generate a character in a specific pose as compared to trying to coax SD into giving you an approximation of what you wanted through Prompt Engineering. People training and releasing custom models that can replace entire workflows of disparate steps needed to produce an image that would normally result from that workflow. There was that video or maybe it was an article where the guy made it so he could just use natural language to describe the edits he wanted made and it would make them etc.