language:
- en
thumbnail: https://huggingface.co/wavymulder/lomo-diffusion/resolve/main/images/page1.jpg
license: creativeml-openrail-m
tags:
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
- safetensors
- diffusers
inference: true
Lomo Diffusion
[*CKPT DOWNLOAD LINK*]( CKPT LINK ) - This is a dreambooth model trained on a diverse set of stylized photographs. It is inspired by the Lomography movement, which embraces the imperfections and style of old LOMO cameras. The model excels at producing bright saturated colors as well as a variety of film artifacts that add to the illusion of a real photograph.
Use the activation token lomo style in your prompt (I recommend at the start)
When using most models, I typically use blur haze in my negative prompt. I encourage you to experiment and see what works well for you.
Trained from 1.5 with VAE.
Please see [this document where I share the parameters (prompt, sampler, seed, etc.) used for all example images.]( PARAMETER DOC )
You can see here a non-cherrypicked batch of 49 images here.
And you can see here a direct comparison between Lomo Style and Analog Style.
