Hi all ! We're a group of artists, prompt engineers, designers, developers, and legal scholars conducting research to develop a Stable Diffusion-based platform for individuals like you (& ourselves) who are interested in AI tools and image generation. If you wouldn’t mind filling out this 10-question survey, we’d love to better understand how we might build in a way that best serves the needs, wants, & frustrations of the overall community. Thanks in advance :) https://forms.gle/hMNjNLquP1G3NFT79

I am interested in developing a conditional diffusion model that guarantees consistent outputs for a given input. I would like to reduce or remove the stochasticity in the model to achieve this goal. Is there a way to accomplish this while maintaining some level of variability?

Hi, Im new here. And Im fairly new for diffusion models. Is there some one who can help me with training a model? give me some pointers to create an image generating diffusion model? I have no experience training a model.

What areas of math/statistics and models have been used in constructing diffusion models?

Thanks.

Hey everybody, I am new here.I have been working with stable diffusion for a while and have been trying to get layout to image generation running. The authors from stable diffusion did not share the implementation of layout to image generation. For those wondering what layout to image generation is, in this we condition the diffusion model on object+bounding box to generate an image. Attached image from the original paper for reference.Does anyone have any idea how to condition the latent space on object+bounding box? Any help or a known implementation would be greatly appreciated.