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wavymulder/lomo-diffusion/README.md
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---
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language:
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- en
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thumbnail: "https://huggingface.co/wavymulder/lomo-diffusion/resolve/main/images/page1.jpg"
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license: creativeml-openrail-m
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tags:
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- stable-diffusion
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- stable-diffusion-diffusers
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- text-to-image
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- safetensors
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- diffusers
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inference: true
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---
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**Lomo Diffusion**
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[*CKPT DOWNLOAD LINK*](https://huggingface.co/wavymulder/lomo-diffusion/resolve/main/lomo-1.0.ckpt) - - - [*SAFETENSORS DOWNLOAD LINK*](https://huggingface.co/wavymulder/lomo-diffusion/resolve/main/lomo-1.0.safetensors)
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This is a dreambooth model trained on a diverse set of stylized photographs.
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Use the activation token **lomo style** in your prompt (I recommend at the start)
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This model 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.
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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.
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Trained from 1.5 with VAE.
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Please see [this document where I share the parameters (prompt, sampler, seed, etc.) used for all example images.](https://huggingface.co/wavymulder/lomo-diffusion/resolve/main/paramets_for_samples.txt)
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You can [see here a non-cherrypicked batch of 49 images here.](https://i.imgur.com/cfIj3iq.jpg)
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And you can [see here a direct comparison between Analog Style and Lomo Style.](https://i.imgur.com/ugdFzPI.jpg)
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