Readme
Create variations of an image while preserving shape and depth.
This stable-diffusion-2-depth model is resumed from stable-diffusion-2-base (512-base-ema.ckpt) and finetuned for 200k steps. Added an extra input channel to process the (relative) depth prediction produced by MiDaS (dpt_hybrid) which is used as an additional conditioning.
- Developed by : Robin Rombach, Patrick Esser
- Model type : Diffusion-based text-to-image generation model
- Language(s) : English
- License : CreativeML Open RAIL++-M License
- Model Description : This is a model that can be used to generate and modify images based on text prompts. It is a Latent Diffusion Model that uses a fixed, pretrained text encoder (OpenCLIP-ViT/H).
- Resources for more information : GitHub Repository .
Intended use
See stability-ai/stable-diffusion for direct use, misuse, malicious use, out-of-scope use, limitations, and bias.
