implement option to skip uncond on all steps below ngms

modules/sd_samplers_cfg_denoiser.py

@@ -218,7 +218,7 @@ class CFGDenoiser(torch.nn.Module):
             sigma_in = sigma_in[:-batch_size]
 
         # alternating uncond allows for higher thresholds without the quality loss normally expected from raising it
-        if self.step % 2 and s_min_uncond > 0 and sigma[0] < s_min_uncond and not is_edit_model:
+        if (self.step % 2 or shared.opts.s_min_uncond_all) and s_min_uncond > 0 and sigma[0] < s_min_uncond and not is_edit_model:
             skip_uncond = True
             x_in = x_in[:-batch_size]
             sigma_in = sigma_in[:-batch_size]