This is a Dreamboothed Stable Diffusion model trained on pictures of mosaic art.
The total dataset is made of 46 pictures, and the training has been done on runawayml 1.5 and the new VAE. I used EveryDream to do the training, using full caption on the pictures with almost no recurring word outside the main concept, so that no additionnal regularisation was needed. Out of e0 to e11 epochs, e8 was selected as the best application of style while not overtraining. Prior preservation was constated as good. A total of 9 epochs of 40 repeats with a learning rate of 1e-6.
The token "Mosaic Art" will bring in the new concept, trained as a style.
The recommended sampling is k_Euler_a or DPM++ 2M Karras on 20 steps, CFGS 7.5 .
Description
Details
Downloads
161
Platform
CivitAI
Platform Status
Available
Created
12/1/2022
Updated
9/27/2025
Deleted
-
Trigger Words:
Mosaic Art
Files
mosaicArt_v1_trainingData.zip
Mirrors
CivitAI (2 mirrors)
mosaicArt_v1.ckpt
Mirrors
Huggingface (1 mirrors)
CivitAI (1 mirrors)