I understand that, when we generate images, the prompt itself is first split into tokens, after which those tokens are used by the model to nudge the image generation in a certain direction. I have the impression that the model gets a higher impact of one token compared to another (although I don't know if I can call it a weight). I mean internally, not as part of the prompt where we can also force a higher weight on a token.
Is it possible to know how much a certain token was 'used' in the generation? I could empirically deduce that by taking a generation, stick to the same prompt, seed, sampling method, etc. and remove words gradually to see what the impact is, but perhaps there is a way to just ask the model? Or adjust the python code a bit and retrieve it there?
I'd like to know which parts of my prompt hardly impact the image (or even at all).
In Belgium, you need to wait two weeks before donating again (plasma and platelets, 2 months for blood). I regularly donate platelets, and sometimes plasma if the platelet slots are all occupied.
We get thank-you receipts (or public transportation ones) which we can turn in for some goodies. I hoard them up until I can get two tickets for an amusement park that I can visit with my daughter.
I don't know if getting paid for it would be better or more appreciated. I feel that it could lead to more abuse? I am much more happy to know I'm donating for a good cause...