A negative prompt embedding for Deliberate V2. Use in your negative prompt to make the image look better. Do not use as a regular prompt.
Trained on the bad image dataset from here:
Description
Initial embedding trained on a merge based on Deliberate V2, uses 16 tokens.
FAQ
Comments (7)
Definitely gonna try both for negative prompt and for postive prompt (i'm an absolute madman!)
I've been testing it and it seems interesting, but I'd really like to understand better what it is expected to impact the most. People? Places? Objects?
Would you be willing to share your process for creating this? I am attempting something similar but not having any luck
I trained a TI on the dataset from here: https://civitai.com/models/17083?modelVersionId=20387
@skewbed did you use all of the images there? What about captions? Did you need to use any specific settings?
I have looked through that dataset a bit and it seems quite a lot more generalized than I'd like, and much bigger. I am also trying to use custom data
Details
Files
16-token-negative-deliberate-neg.pt
Mirrors
16-token-negative-deliberate-neg.pt
16-token-negative-deliberate-neg.pt
16-token-negative-deliberate-neg.pt
30224_36426_16-token-negative-deliberate-neg.pt
16-token-negative-deliberate-neg.pt
16-token-negative-deliberate-neg.pt
16-token-negative-deliberate-neg.pt
16-token-negative-deliberate-neg.pt
16-token-negative-deliberate-neg.pt
Available On (1 platform)
Same model published on other platforms. May have additional downloads or version variants.



