Hrrzg Style 768px

🚀 Fred Herzog Photography Style

This is a text - to - image model inspired by Fred Herzog's photography style. It offers a unique way to generate images with the characteristics of Fred Herzog's works.

✨ Features

• Trained on Fred Herzog's work using 30 images of 768x768 resolution.
• Trained for 12000 steps, with 1k steps for the text encoder at the beginning and 500 steps at the end.
• Allows users to generate images with different prompts and settings, and also supports training custom concepts.

📚 Documentation

Model Information

Prompts and Settings

Starting Prompts

• Prompt 1:
  • Prompt: 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
• Prompt 2:
  • Prompt: 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

Note: 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".

Training Your Own Concepts

You can 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).

Testing the Concept

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

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📄 License

This model is licensed under creativeml - openrail - m.