Add denoise parameter to KSampler Adv. (Efficient) - TSC_KSamplerAdvanced

[jeffersoncgo]

I don't know if there a reason not to, but, is possible to add the denoise property to the KSampler Adv? It would be really useful be able to change it manually, randomly and so on as a property, instead of context menu.

# TSC KSampler Adv (Efficient)
class TSC_KSamplerAdvanced(TSC_KSampler):

    @classmethod
    def INPUT_TYPES(cls):
        return {"required":
                    {"model": ("MODEL",),
                     "add_noise": (["enable", "disable"],),
                     "noise_seed": ("INT", {"default": 0, "min": 0, "max": 0xffffffffffffffff}),
                     "steps": ("INT", {"default": 20, "min": 1, "max": 10000}),
                     "cfg": ("FLOAT", {"default": 7.0, "min": 0.0, "max": 100.0}),
                     "sampler_name": (comfy.samplers.KSampler.SAMPLERS,),
                     "scheduler": (SCHEDULERS,),
                     "positive": ("CONDITIONING",),
                     "negative": ("CONDITIONING",),
                     "latent_image": ("LATENT",),
                     "start_at_step": ("INT", {"default": 0, "min": 0, "max": 10000}),
                     "end_at_step": ("INT", {"default": 10000, "min": 0, "max": 10000}),
                     "return_with_leftover_noise": (["disable", "enable"],),
                     "preview_method": (["auto", "latent2rgb", "taesd", "none"],),
                     "vae_decode": (["true", "true (tiled)", "false", "output only", "output only (tiled)"],),
                     "denoise": ("FLOAT", {"default": 1.0, "min": 0.1, "max": 1.0}), #denoise property added here
                     },
                "optional": {"optional_vae": ("VAE",),
                             "script": ("SCRIPT",), },
                "hidden": {"prompt": "PROMPT", "extra_pnginfo": "EXTRA_PNGINFO", "my_unique_id": "UNIQUE_ID", },
                }

    RETURN_TYPES = ("MODEL", "CONDITIONING", "CONDITIONING", "LATENT", "VAE", "IMAGE",)
    RETURN_NAMES = ("MODEL", "CONDITIONING+", "CONDITIONING-", "LATENT", "VAE", "IMAGE",)
    OUTPUT_NODE = True
    FUNCTION = "sample_adv"
    CATEGORY = "Efficiency Nodes/Sampling"

    def sample_adv(self, model, add_noise, noise_seed, steps, cfg, sampler_name, scheduler, positive, negative,
               latent_image, start_at_step, end_at_step, return_with_leftover_noise, preview_method, vae_decode,
               denoise, #denoise added here as a passable parameter
              prompt=None, extra_pnginfo=None, my_unique_id=None, optional_vae=(None,), script=None):

        return super().sample(model, noise_seed, steps, cfg, sampler_name, scheduler, positive, negative,
               latent_image, preview_method, vae_decode, 
              denoise, #denoise changed from denoise=1.0 to only denoise
              prompt=prompt, extra_pnginfo=extra_pnginfo, my_unique_id=my_unique_id,
               optional_vae=optional_vae, script=script, add_noise=add_noise, start_at_step=start_at_step,end_at_step=end_at_step,
                       return_with_leftover_noise=return_with_leftover_noise,sampler_type="advanced")

It would be amazing if it was native from Efficiency package instead of just a change that i made...

If u read until here, i really apreciate it, thank you.