ecbe27a07f
* 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>
1.7 KiB
Super-resolution
The Stable Diffusion upscaler diffusion model was created by the researchers and engineers from CompVis, Stability AI, and LAION. It is used to enhance the resolution of input images by a factor of 4.
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!
StableDiffusionUpscalePipeline
autodoc StableDiffusionUpscalePipeline - all - call - enable_attention_slicing - disable_attention_slicing - enable_xformers_memory_efficient_attention - disable_xformers_memory_efficient_attention
StableDiffusionPipelineOutput
autodoc pipelines.stable_diffusion.StableDiffusionPipelineOutput