File size: 3,580 Bytes
d257128 e5862fe abfa038 e5862fe d257128 b42f540 782b01e b42f540 d257128 790cd10 9da2aa6 537f7c5 9da2aa6 d257128 b42f540 790cd10 d257128 5ba9881 838a85d 5ba9881 3c68761 3122205 838a85d 5ba9881 838a85d 3122205 790cd10 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 |
---
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) |