portraitplus
Maintainer: wavymulder
291
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| Property | Value |
|---|---|
| Run this model | Run on HuggingFace |
| API spec | View on HuggingFace |
| Github link | No Github link provided |
| Paper link | No paper link provided |
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Model overview
portraitplus is a Dreamboost model trained by wavymulder on a diverse set of close to medium range portraits of people. The goal was to create a model with a consistent portrait composition and consistent eyes. This model can produce several styles, so the prompt needs to guide it depending on your goals. Real people have a more photorealistic presence compared to fantasy concepts like cyberpunk people or wizards, which require more rigid prompting for photorealistic styles.
Similar models created by wavymulder include Timeless Diffusion, which is trained on colorized photographs from the 1880s-1980s, and Analog Diffusion, which is trained on analog photographs. Another similar model is Photohelper, which aims to generate photorealistic pictures with nice colors.
Model inputs and outputs
Inputs
- Textual prompts that describe the desired portrait, such as "portrait+ style"
Outputs
- Photorealistic portraits of people, with consistent composition and eyes
- The model works best at a 1:1 aspect ratio, though it has also been successful with tall aspect ratios
Capabilities
portraitplus can generate a variety of photorealistic portrait styles, from realistic to more stylized. The model maintains consistent composition and eye quality across generated images. It can handle a range of subject matter, from everyday people to more fantastical characters, though prompting for photorealistic styles of fantasy concepts may require more effort.
What can I use it for?
portraitplus can be used for a variety of portrait-related applications, such as creating profile pictures, character designs, or digital art. The model's ability to maintain consistent quality and composition makes it well-suited for tasks that require generating large numbers of portraits, such as in video games or social media applications.
Things to try
Experiment with different prompt variations to see how the model responds. Try adding descriptors like "hyperdetailed", "sharp focus", or "cinematic lighting" to guide the model's output. You can also try combining portraitplus with other models, like Timeless Diffusion or Analog Diffusion, to create unique portrait styles.
This summary was produced with help from an AI and may contain inaccuracies - check out the links to read the original source documents!
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