"Which algorithm to use to produce the image":"使用哪种算法生成图像",
"Euler Ancestral - very creative, each can get a completely different picture depending on step count, setting steps to higher than 30-40 does not help":"Euler Ancestral - 非常有创意，可以根据迭代步数获得完全不同的图像，将迭代步数设置为高于 30-40 不会有正面作用",
"Denoising Diffusion Implicit Models - best at inpainting":"Denoising Diffusion Implicit models - 最擅长内补绘制",
"Produce an image that can be tiled.":"生成可以分块(Tiling)的图像",
"Produce an image that can be tiled.":"生成可用于平铺(tiled)的图像",
"Use a two step process to partially create an image at smaller resolution, upscale, and then improve details in it without changing composition":"使用两步处理的时候以较小的分辨率生成初步图像、接着放大图像，然后在不更改构图的情况下改进其中的细节",
"Determines how little respect the algorithm should have for image's content. At 0, nothing will change, and at 1 you'll get an unrelated image. With values below 1.0, processing will take less steps than the Sampling Steps slider specifies.":"决定算法对图像内容的影响程度。设置 0 时，什么都不会改变，而在 1 时，你将获得不相关的图像。值低于 1.0 时，处理的迭代步数将少于“采样迭代步数”滑块指定的步数",
"How many batches of images to create":"创建多少批次的图像",
