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* Fix typos, update, add Copyright info, and trim trailing whitespace * Update docs/source/en/api/pipelines/text_to_video_zero.md Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com> * 1 second is not a long video, but 6 seconds is * Update text_to_video_zero.md * Update text_to_video_zero.md * Update text_to_video_zero.md * Update wuerstchen.md --------- Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
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Depth-to-image
The Stable Diffusion model can also infer depth based on an image using MiDaS. This allows you to pass a text prompt and an initial image to condition the generation of new images as well as a depth_map to preserve the image structure.
Make sure to check out the Stable Diffusion Tips section to learn how to explore the tradeoff between scheduler speed and quality, and how to reuse pipeline components efficiently!
If you're interested in using one of the official checkpoints for a task, explore the CompVis, Runway, and Stability AI Hub organizations!
StableDiffusionDepth2ImgPipeline
autodoc StableDiffusionDepth2ImgPipeline - all - call - enable_attention_slicing - disable_attention_slicing - enable_xformers_memory_efficient_attention - disable_xformers_memory_efficient_attention - load_textual_inversion - load_lora_weights - save_lora_weights
StableDiffusionPipelineOutput
autodoc pipelines.stable_diffusion.StableDiffusionPipelineOutput