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v2-768
Mosaic Art

Mosaic Art

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#Style

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 .

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Notice
2023-04-01
Publish Model
2026-02-03
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Model Details
Type
Checkpoint
Publish Time
2023-03-20
Base Model
SD 1.5
Trigger Words
Mosaic Art
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Version Introduction

The total dataset is made of 46 pictures. V2 was trained on Stable diffusion 2.1 768. I used StableTuner to do the training, using full caption on the pictures with almost no recurring word outside the main concept. 6 epochs of 40 repeats on LR 1e-6 were used, with prior preservation.

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Model Source: civitai

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Creative License Scope
Online Image Generation
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Commercial License Scope
Sale or Commercial Use of Generated Images
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