Three Challenges Ahead for Stable Diffusion

Stable Diffusion latent diffusion image synthesis model a couple of weeks ago may be one of the most significant technological disclosures since DeCSS in 1999; it's certainly the biggest event in AI-generated imagery since the 2017 deepfakes code was copied over to GitHub and forked into what would become DeepFaceLab and FaceSwap, as well as the real-time streaming deepfake software DeepFaceLive. At a stroke, user frustration over the content restrictions in DALL-E 2's image synthesis API were swept aside, as it transpired that Stable Diffusion's NSFW filter could be disabled by changing a sole line of code. Porn-centric Stable Diffusion Reddits sprung up almost immediately, and were as quickly cut down, while the developer and user camp divided on Discord into the official and NSFW communities, and Twitter began to fill up with fantastical Stable Diffusion creations. At the moment, each day seems to bring some amazing innovation from the developers who have adopted the system, with plugins and third-party adjuncts being hastily written for Krita, Photoshop, Cinema4D, Blender, and many other application platforms. In the meantime, promptcraft – the now- professional art of'AI whispering', which may end up being the shortest career option since'Filofax binder' – is already becoming commercialized, while early monetization of Stable Diffusion is taking place at the Patreon level, with the certainty of more sophisticated offerings to come, for those unwilling to navigate Conda-based installs of the source code, or the proscriptive NSFW filters of web-based implementations.