|
--- |
|
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: |
|
|
|
.png) |
|
.png) |
|
.png) |
|
.png) |
|
.png) |
|
.png) |
|
.png) |
|
.png) |
|
.png) |
|
.png) |
|
.png) |
|
.png) |
|
.png) |
|
.png) |
|
.png) |
|
.png) |
|
.png) |
|
.png) |
|
.png) |
|
.png) |
