"eta_ddim":OptionInfo(0.0,"Eta for DDIM",gr.Slider,{"minimum":0.0,"maximum":1.0,"step":0.01}).info("noise multiplier; higher = more unperdictable results"),
"eta_ancestral":OptionInfo(1.0,"Eta for ancestral samplers",gr.Slider,{"minimum":0.0,"maximum":1.0,"step":0.01}).info("noise multiplier; applies to Euler a and other samplers that have a in them"),
"ddim_discretize":OptionInfo('uniform',"img2img DDIM discretize",gr.Radio,{"choices":['uniform','quad']}),
's_churn':OptionInfo(0.0,"sigma churn",gr.Slider,{"minimum":0.0,"maximum":100.0,"step":0.01}).info('amount of stochasticity; only applies to Euler, Heun, and DPM2'),
's_tmin':OptionInfo(0.0,"sigma tmin",gr.Slider,{"minimum":0.0,"maximum":10.0,"step":0.01}).info('enable stochasticity; start value of the sigma range; only applies to Euler, Heun, and DPM2'),
's_tmax':OptionInfo(0.0,"sigma tmax",gr.Slider,{"minimum":0.0,"maximum":999.0,"step":0.01}).info("0 = inf; end value of the sigma range; only applies to Euler, Heun, and DPM2"),
's_noise':OptionInfo(1.0,"sigma noise",gr.Slider,{"minimum":0.0,"maximum":1.1,"step":0.001}).info('amount of additional noise to counteract loss of detail during sampling; only applies to Euler, Heun, and DPM2'),
'k_sched_type':OptionInfo("Automatic","scheduler type",gr.Dropdown,{"choices":["Automatic","karras","exponential","polyexponential"]}).info("lets you override the noise schedule for k-diffusion samplers; choosing Automatic disables the three parameters below"),