TheLastBen
fine tuning on SD2-512. Got all brown images
Just saw that SD2-512 was an option, so I did my first training with a dataset I've used on 1.5 many times. When inferencing from that, all I get are brown images (with some black shadows). Curious if I did something wrong?
the problem is with the inference, not the training, the 768 model works fine, but the 512 gives brown images, I'm trying to fin the cause
I just actually tried this with 768 and i got the brown. has 512 been fixed?
Could this be issue with how cpkt is converted or read in?
When manually importing the model weights (fine-tuned on sd2.0-base), using StableDiffusionPipeline & different schedulers from diffusers package, it generates just fine
Could this be issue with how
cpktis converted or read in?
very likely, yes, I don't think diffusers has the right conversion scripts yet.
Can someone confirm I can do that in colab? I’m still getting brown outputs and I am really unclear on how to run it through correctly. Thanks!
I got brown outputs with 512 and 768 ckpts, tried running the 768 diffusers output with the official sd 2.0 diffusers pipeline and still the same
Any update on this? I have nice images after training, but loading ckpt gets all brown
@guumaster that problem was solved days ago, use the latest colab and make sure you choose the correct model version in the cells
I'm using the colab from today (3-4 hours ago), I've chosen the V2-768px version on both dropdown menus
Training and testing is ok. But if I take ckpt to another colab, I get the brown images. Any clues?