---
language:
- en
thumbnail: "https://huggingface.co/wavymulder/modelshoot/resolve/main/images/page1.jpg"
license: creativeml-openrail-m
tags:
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
- safetensors
- diffusers
inference: true
---



**Analog Diffusion**
![Header](https://huggingface.co/wavymulder/modelshoot/resolve/main/images/page1.jpg)
[*CKPT DOWNLOAD LINK*](https://huggingface.co/wavymulder/modelshoot/resolve/main/modelshoot-1.0.ckpt)

Use `modelshoot style` in your prompt (I recommend at the start)

I also suggest your prompts include subject and location, for example "`amy adams at the construction site`" , as this helps the model to resolve backgrounds and small details.

Modelshoot is a Dreambooth model trained from 1.5 with VAE on a diverse set of photographs of people. The goal was to create a model focused on full to medium body shots, with an emphasis on cool clothing and a fashion-shoot aesthetic. A result of the composition is that when your subject is further away, their face will usually look worse. This limitation of training on 512x512 can be fixed with inpainting, and I plan on revisiting this model at higher resolution in the future.

Modelshoot style works best when using a tall aspect ratio.

This model was inspired by all the great responses to Analog Diffusion, especially ones where you all trained yourselves in and created awesome, fashionable photos! I hope that this model allows even greater images :)

Please see [this document where I share the parameters (prompt, sampler, seed, etc.) used for all example images above.](https://huggingface.co/wavymulder/modelshoot/resolve/main/parameters_for_samples.txt)

See below a batch example and how the model helps ensure a fashion-shoot composition without any excessive prompting.

![Bulk Example](https://huggingface.co/wavymulder/modelshoot/resolve/main/images/page2.jpg)