I can link the notebook I’m using if necessary but the code here is so simple that I feel like I don’t need to.
(seed 23335, w/h = 512, prompt = “frog”, negative = “bird”, x = 2, guidance_scale = 7.5, steps = 150, using the lms = LMSDiscreteScheduler( beta_start=0.00085, beta_end=0.012, beta_schedule="scaled_linear" ))
I think this line might have something to do with it?
uncond embeddings will already be a list (the negative prompts) so repeating them again won’t help, then in the line after where it’s putting the negatives with the positives, the model is only seeing the negatives (for both the uncond and cond input). Could be wrong but with a quick glance that’s what I think’s happening.
edit: oops you already said something like this in the issue, cheers!