Category: A.I.

https://www.flawlessai.com/

https://github.com/proceduralit/StableDiffusion_Houdini

https://github.com/proceduralit/StableDiffusion_Houdini/wiki/

This is a Houdini HDA that submits the render output as the init_image and with getting help from PDG, enables artists to easily define variations on the Stable Diffusion parameters like Sampling Method, Steps, Prompt Strength, and Noise Strength.

Right now DreamStudio is the only public server that the HDA is supporting. So you need to have an account there and connect the HDA to your account.
DreamStudio: https://beta.dreamstudio.ai/membership

https://www.zumolabs.ai/post/what-is-neural-rendering

“The key concept behind neural rendering approaches is that they are differentiable. A differentiable function is one whose derivative exists at each point in the domain. This is important because machine learning is basically the chain rule with extra steps: a differentiable rendering function can be learned with data, one gradient descent step at a time. Learning a rendering function statistically through data is fundamentally different from the classic rendering methods we described above, which calculate and extrapolate from the known laws of physics.”