guizmus
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 .
What is Mosaic Art?
Mosaic Art is a highly specialized Image generation AI Model of type Safetensors / Checkpoint AI Model created by AI community user guizmus. Derived from the powerful Stable Diffusion (SD 1.5) model, Mosaic Art has undergone an extensive fine-tuning process, leveraging the power of a dataset consisting of images generated by other AI models or user-contributed data. This fine-tuning process ensures that Mosaic Art is capable of generating images that are highly relevant to the specific use-cases it was designed for, such as style.
With a rating of 4 and over 2 ratings, Mosaic Art is a popular choice among users for generating high-quality images from text prompts.
Can I download Mosaic Art?
Yes! You can download the latest version of Mosaic Art from here.
How to use Mosaic Art?
To use Mosaic Art, download the model checkpoint file and set up an UI for running Stable Diffusion models (for example, AUTOMATIC1111). Then, provide the model with a detailed text prompt to generate an image. Experiment with different prompts and settings to achieve the desired results. If this sounds a bit complicated, check out our initial guide to Stable Diffusion – it might be of help. And if you really want to dive deep into AI image generation and understand how set up AUTOMATIC1111 to use Safetensors / Checkpoint AI Models like Mosaic Art, check out our crash course in AI image generation.
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Latest version (v2-768): 2 Files
About this version: v2-768
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.
