---
license: creativeml-openrail-m
tags:
- text-to-image
- stable-diffusion
---
### Fred Herzog Photography Style
#### V1.5 Model by TheLastBen

This model is trained on Fred Herzog's work using 30 images 768x768, 12000 steps, 1k steps text encoder at the beginning and 500 steps at the end.


#### Prompts to start with :
    
close up portrait of beautiful young woman in a bus by hrrzg

Negative prompt: low quality, fake, painting, greyscale, night

Steps: 30, Sampler: DPM++ 2S a Karras, CFG scale: 7.5, Size: 896x768, Model hash: e93cb7f3, Denoising strength: 0.7, First pass size: 640x512

-------
    
beautiful, ultra detailed, cinematic, ((sharp focus)), intricate details, micro details, city, street

Negative prompt: low quality, fake, painting, greyscale, painting, bokeh

Steps: 45, Sampler: DPM++ 2S a Karras, CFG scale: 8.5, Size: 768x768, Model hash: e93cb7f3, Denoising strength: 0.7, First pass size: 512x640   

Always check the Highres.fix box and keep the resolution above 768x768, if you use the terms "city" "road" "street" "urban", you don't have to include the instance "hrrzg"


You can also train your own concepts and upload them to the library by using  [fast-DreamBooth](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast-DreamBooth.ipynb).

Test the concept via A1111 Colab :[fast-stable-diffusion-A1111](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast_stable_diffusion_AUTOMATIC1111.ipynb)


#### Sample pictures of this concept:

!["" 0](https://huggingface.co./TheLastBen/hrrzg-style/resolve/main/concept_images/img%20(11).png)
    !["" 1](https://huggingface.co./TheLastBen/hrrzg-style/resolve/main/concept_images/img%20(4).png)
    !["" 2](https://huggingface.co./TheLastBen/hrrzg-style/resolve/main/concept_images/img%20(3).png)
    !["" 3](https://huggingface.co./TheLastBen/hrrzg-style/resolve/main/concept_images/img%20(2).png)
    !["" 4](https://huggingface.co./TheLastBen/hrrzg-style/resolve/main/concept_images/img%20(6).png)
    !["" 5](https://huggingface.co./TheLastBen/hrrzg-style/resolve/main/concept_images/img%20(18).png)
    !["" 6](https://huggingface.co./TheLastBen/hrrzg-style/resolve/main/concept_images/img%20(7).png)
    !["" 7](https://huggingface.co./TheLastBen/hrrzg-style/resolve/main/concept_images/img%20(8).png)
    !["" 8](https://huggingface.co./TheLastBen/hrrzg-style/resolve/main/concept_images/img%20(9).png)
    !["" 9](https://huggingface.co./TheLastBen/hrrzg-style/resolve/main/concept_images/img%20(10).png)
    !["" 10](https://huggingface.co./TheLastBen/hrrzg-style/resolve/main/concept_images/img%20(20).png)
    !["" 11](https://huggingface.co./TheLastBen/hrrzg-style/resolve/main/concept_images/img%20(12).png)
    !["" 12](https://huggingface.co./TheLastBen/hrrzg-style/resolve/main/concept_images/img%20(13).png)
    !["" 13](https://huggingface.co./TheLastBen/hrrzg-style/resolve/main/concept_images/img%20(14).png)
    !["" 14](https://huggingface.co./TheLastBen/hrrzg-style/resolve/main/concept_images/img%20(15).png)
    !["" 15](https://huggingface.co./TheLastBen/hrrzg-style/resolve/main/concept_images/img%20(16).png)
    !["" 16](https://huggingface.co./TheLastBen/hrrzg-style/resolve/main/concept_images/img%20(17).png)
    !["" 17](https://huggingface.co./TheLastBen/hrrzg-style/resolve/main/concept_images/img%20(1).png)
    !["" 18](https://huggingface.co./TheLastBen/hrrzg-style/resolve/main/concept_images/img%20(5).png)
    !["" 19](https://huggingface.co./TheLastBen/hrrzg-style/resolve/main/concept_images/img%20(19).png)