AniReal
Maintainer: Hosioka
75
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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
AniReal is an experimental text-to-image diffusion model created by maintainer Hosioka. It is a predecessor to the newer Baka-Diffusion model, which aims to push the limits of Stable Diffusion 1.x-based models through techniques like U-Net block merging.
The goal with AniReal was to create a "blank canvas" model that could serve as a base for compatibility with various LoRA and LyCORIS models, while providing improved coherency and stability compared to previous iterations. This model diverges from the typical anime-style lighting seen in many Baka-Diffusion variants, instead focusing on a more natural appearance.
Model inputs and outputs
Inputs
- Text Prompts:
AniRealaccepts natural language text prompts to guide the image generation process.
Outputs
- Images: The model generates high-quality, detail-oriented images based on the provided text prompts. The output images exhibit a refined, naturalistic aesthetic rather than a purely anime style.
Capabilities
AniReal demonstrates improved capabilities over earlier Baka-Diffusion models, including more coherent and stable generations, particularly at higher CFG scale values. The model is also designed to work well with low-rank networks like LoRA and LyCORIS, ensuring compatibility and versatility.
What can I use it for?
The AniReal model can be a useful starting point for a variety of text-to-image projects, from generating detailed anime-inspired artwork to creating naturalistic illustrations. Its flexibility and compatibility with additional models make it a valuable tool for creative work.
Things to try
One key recommendation from Hosioka is to use a lightweight negative textual inversion, such as SimpleNegativeV1 by Aikimi, to further improve the model's coherency without sacrificing style. The maintainer also suggests experimenting with the FreeU preset, which can help steer the model towards aesthetically pleasing generations.
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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