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AI enthusiasts demand labeling system for AI content

The world of AI-generated content is evolving at a rapid pace, and with it comes the need for a new labeling system. As AI enthusiasts, we strive for the purest form of AI creation, and we demand a way to distinguish it from any enhancements or alterations. The time has come for us to take a stand and establish clear guidelines for labeling AI content.

Our motivation for this movement comes from the desire to maintain the integrity of AI-generated images. We want to ensure that any AI content is directly attributed to the AI itself, rather than any human intervention or traditional editing techniques. This will not only give proper recognition to the advancements in AI technology, but also provide transparency for the audience.

After much discussion and research, we propose the following levels for labeling AI content:

Pure AI – This category is reserved for images that are entirely generated in Stable Diffusion or its equivalent, using only a text prompt and a well-known model file. These model files, such as epicphotogasm_lastUnicorn or sdXL_v10VAEFix, have proven to produce highly realistic images with minimal human interaction.

Near-pure AI – In this category, extensions such as Regional Prompter and ADetailer are allowed, as well as techniques like inpainting and using AI-generated images as input for an img2img process. However, these enhancements can only be applied to images that were initially created using pure AI methods.

Semi-pure AI – Here, the use of non-AI images (such as photos, drawings, and rendered images) is permitted, but only for the purpose of using them as input for an img2img process. However, the denoicing strength must be set at 0.55 or higher to ensure that the AI remains the primary creator of the final image.

Unpure AI – This category is reserved for images that have undergone traditional editing techniques, such as using PhotoShop or other software outside of Stable Diffusion. The only exceptions allowed are basic adjustments such as cropping, brightness, and contrast.

By implementing this labeling system, we hope to establish a standard for purity in AI content creation. As the AI industry continues to grow, it is crucial to maintain the distinction between pure AI and any external influences.

Let’s unite as AI purists and demand this labeling system be adopted by all major platforms. It’s time to give credit where credit is due and ensure the purest form of AI-generated content is recognized and appreciated.