From e4fec96ae009624b9af5e11962c2a249e9e2b9dd Mon Sep 17 00:00:00 2001 From: lunarring <78172771+lunarring@users.noreply.github.com> Date: Mon, 9 Jan 2023 13:47:07 +0100 Subject: [PATCH] Update parameters.md --- parameters.md | 25 ++++++++++++++++--------- 1 file changed, 16 insertions(+), 9 deletions(-) diff --git a/parameters.md b/parameters.md index 2388e46..48931e2 100644 --- a/parameters.md +++ b/parameters.md @@ -1,21 +1,28 @@ -# Gradio parameters +# Gradio Parameters ## depth_strength -determines when the blending process will begin in terms of diffusion steps. A value close to zero results in more creative and intricate outcomes, while a value closer to one indicates a simpler alpha blending. However, low values may also bring about the introduction of additional objects and motion. +- Determines when the blending process will begin in terms of diffusion steps. +- A value close to zero results in more creative and intricate outcomes, but may also introduce additional objects and motion. +- A value closer to one indicates a simpler alpha blending. ## guidance_scale -higher guidance scale encourages the creation of images that are closely aligned with the text. However, the best results for latent blending are achieved with lower values. +- Higher guidance scale encourages the creation of images that are closely aligned with the text. +- Lower values are recommended for the best results in latent blending. ## guidance_scale_mid_damper -decreases the guidance scale in the middle of a transition. A value of 1 would maintain a constant guidance scale, while a value of 0 would decrease the guidance scale to 1 at the midpoint of the transition +- Decreases the guidance scale in the middle of a transition. +- A value of 1 maintains a constant guidance scale. +- A value of 0 decreases the guidance scale to 1 at the midpoint of the transition. ## mid_compression_scaler -stretches the spacing towards the center, with a linear spacing at mid_compression_scaler=1 and a higher sampling density in the middle at mid_compression_scaler=2 +- Stretches the spacing towards the center. +- A value of 1 results in linear spacing. +- A value of 2 increases sampling density in the middle. ## num_inference_steps -determines the quality of the results. While an increase in this value may improve the outcome, it will also require more computation time. +- Determines the quality of the results. +- Higher values improve the outcome, but also require more computation time. ## nmb_trans_images -final number of images computed in the last branch of the tree. Higher values will give better results but require more computation time. - - +- Final number of images computed in the last branch of the tree. +- Higher values give better results but require more computation time.