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| # Depth-to-Image Generation | |
| ## StableDiffusionDepth2ImgPipeline | |
| The depth-guided stable diffusion model was created by the researchers and engineers from [CompVis](https://github.com/CompVis), [Stability AI](https://stability.ai/), and [LAION](https://laion.ai/), as part of Stable Diffusion 2.0. It uses [MiDas](https://github.com/isl-org/MiDaS) to infer depth based on an image. | |
| [`StableDiffusionDepth2ImgPipeline`] lets you pass a text prompt and an initial image to condition the generation of new images as well as a `depth_map` to preserve the images’ structure. | |
| The original codebase can be found here: | |
| - *Stable Diffusion v2*: [Stability-AI/stablediffusion](https://github.com/Stability-AI/stablediffusion#depth-conditional-stable-diffusion) | |
| Available Checkpoints are: | |
| - *stable-diffusion-2-depth*: [stabilityai/stable-diffusion-2-depth](https://huggingface.co/stabilityai/stable-diffusion-2-depth) | |
| [[autodoc]] StableDiffusionDepth2ImgPipeline | |
| - all | |
| - __call__ | |
| - enable_attention_slicing | |
| - disable_attention_slicing | |
| - enable_xformers_memory_efficient_attention | |
| - disable_xformers_memory_efficient_attention |