Ask HN: Generative AI Courses for Artists

The author is seeking educational resources on generative AI for a group of professional artist friends who are skeptical about the technology. While the friends are familiar with text-to-image models, they are interested in a deeper understanding of diffusion models, their probabilistic nature, and how they are trained on images and text. The author is looking for resources that strike a balance between being too technical and too vague, aiming for practical knowledge that can be integrated into an artistic workflow.

The author mentions that some popular educational resources, like those from 3blue1Brown, Andrew Ng, and ComputerPhile, are either too technical or impractical for their friends. They are specifically interested in materials that explain the components of a setup in tools like ComfyUI, including LoRA, VAE, CLIP, and UNet models. The goal is to help the artists understand generative AI better and alleviate concerns about AI making artists obsolete.

Key takeaways:

Many artists are skeptical about generative AI, but some are open to learning more about its integration into their workflow.
There is a need for educational resources that are neither too technical nor too vague, to help artists understand and utilize generative AI.
Understanding diffusion models, their probabilistic nature, and components like LoRA, VAE, CLIP, and UNet models is crucial for artists interested in generative AI.
Existing resources like 3blue1Brown, Andrew Ng's course, and ComputerPhile videos may be too technical for artists, highlighting the need for more accessible learning materials.

Ask HN: Generative AI Courses for Artists

Key takeaways:

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