TencentQQGYLab
A1111 type prompt features?
Do these work?
Such as the "weighted text" person changed to [person:1.1]
And the toggle between [cat|dog] or [blue | red | gold]
or the prompt steps: [x::number] Ignores x after number steps have finished. [x:x:number] Uses the first x until number steps have finished, then uses the second x.
Not support yet.
As an NLP model(LLM), t5 uses the entire sentence to encode, so t5 can actually fully understand your semantics. I think the weight of a certain word can be strengthened semantically.
The "step" feature is a direct request to the program, not a semantics item, meaning, does ELLA understand when I say "alternate between an image of a dog, a cat, and a bear, on every other step?"
I'll give some phrasing a try for the others.