Based on this YouTube video's total view count of 98.4K views and industry-standard rates, the estimated total earning is $69 - $197 through ad revenue. Historical data is not yet available to calculate daily, weekly, or monthly averages.

Explore AI dance animation in Stable Diffusion with ControlNET Canny with 98,428 views, 891 likes, and 35 comments. Experience the impact of this video content that has captured audience attention.

This AI dance was done using A1111 with majicmixRealistic_v5 checkpoint and Control Net Canny model. No LORAs. ------------------------------------------------------------------- You can support my work at: https://www.patreon.com/BlizzPort ------------------------------------------------------------------- It's a first test in trying to achieve consistent animation using realistic AI models in Stable Diffusion / ControlNET. I plan to make a tutorial video as I've noticed there are none available. More about Artificial Intelligence (mostly for search value): In the realm of visual art, AI algorithms can analyze vast collections of images and learn patterns, styles, and features present in the data. Using techniques such as deep learning and neural networks, AI models can then generate new images, often combining and remixing elements from the training dataset. The generated visuals can vary from abstract compositions to realistic landscapes or portraits. AI algorithms can also be used to assist artists in creating art by providing suggestions, enhancing images, or even creating entire pieces based on user input or predefined parameters. Similarly, AI has been used in the creation of music. By training AI models on large collections of songs or musical scores, the algorithms can learn patterns, harmonies, and melodies present in the training data. They can then generate new musical sequences based on this learned knowledge. AI-generated music can cover a wide range of genres and styles, and it can be used to create entirely new compositions or assist musicians in the creative process by providing ideas or variations. AI algorithms can also be employed in the field of literature, where they can generate text based on the patterns and structures learned from extensive collections of written works. This can range from generating poetry, short stories, or even entire novels. AI can be used as a tool to inspire writers, provide new perspectives, or help generate ideas for storytelling. In all these forms of AI art, the role of the human artist remains critical. While AI algorithms generate the initial content, human artists bring their creative intent, interpretation, and curatorial skills to shape and refine the final artwork. Artists often provide guidance, select specific outputs from the AI models, and infuse the work with their own artistic sensibilities and intentions.

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