# Documentation
- Class name: ttN pipeKSamplerAdvanced_v2
- Category: ttN/pipe
- Output node: True

ttN_pipeKSamplerAdvanced_v2节点旨在通过引入先进的噪声管理和图像质量改进技术来增强生成模型中的采样过程。它利用多种参数来微调生成过程，旨在产生更高质量的输出，并对采样动态有更大的控制力。

# Input types
## Required
- pipe
    - Comfy dtype: PIPE_LINE
    - Python dtype: unknown
- lora_name
    - Comfy dtype: COMBO[STRING]
    - Python dtype: unknown
- lora_strength
    - Comfy dtype: FLOAT
    - Python dtype: unknown
- upscale_method
    - Comfy dtype: COMBO[STRING]
    - Python dtype: unknown
- upscale_model_name
    - Comfy dtype: COMBO[STRING]
    - Python dtype: unknown
- factor
    - Comfy dtype: FLOAT
    - Python dtype: unknown
- rescale
    - Comfy dtype: COMBO[STRING]
    - Python dtype: unknown
- percent
    - Comfy dtype: INT
    - Python dtype: unknown
- width
    - Comfy dtype: INT
    - Python dtype: unknown
- height
    - Comfy dtype: INT
    - Python dtype: unknown
- longer_side
    - Comfy dtype: INT
    - Python dtype: unknown
- crop
    - Comfy dtype: COMBO[STRING]
    - Python dtype: unknown
- sampler_state
    - Comfy dtype: COMBO[STRING]
    - Python dtype: unknown
- add_noise
    - Comfy dtype: COMBO[STRING]
    - Python dtype: unknown
- noise
    - Comfy dtype: FLOAT
    - Python dtype: unknown
- steps
    - Comfy dtype: INT
    - Python dtype: unknown
- start_at_step
    - Comfy dtype: INT
    - Python dtype: unknown
- end_at_step
    - Comfy dtype: INT
    - Python dtype: unknown
- cfg
    - Comfy dtype: FLOAT
    - Python dtype: unknown
- sampler_name
    - Comfy dtype: COMBO[STRING]
    - Python dtype: unknown
- scheduler
    - Comfy dtype: COMBO[STRING]
    - Python dtype: unknown
- return_with_leftover_noise
    - Comfy dtype: COMBO[STRING]
    - Python dtype: unknown
- image_output
    - Comfy dtype: COMBO[STRING]
    - Python dtype: unknown
- save_prefix
    - Comfy dtype: STRING
    - Python dtype: unknown
## Optional
- noise_seed
    - Comfy dtype: INT
    - Python dtype: unknown
- optional_model
    - Comfy dtype: MODEL
    - Python dtype: unknown
- optional_positive
    - Comfy dtype: CONDITIONING
    - Python dtype: unknown
- optional_negative
    - Comfy dtype: CONDITIONING
    - Python dtype: unknown
- optional_latent
    - Comfy dtype: LATENT
    - Python dtype: unknown
- optional_vae
    - Comfy dtype: VAE
    - Python dtype: unknown
- optional_clip
    - Comfy dtype: CLIP
    - Python dtype: unknown
- input_image_override
    - Comfy dtype: IMAGE
    - Python dtype: unknown
- adv_xyPlot
    - Comfy dtype: ADV_XYPLOT
    - Python dtype: unknown

# Output types
- pipe
    - Comfy dtype: PIPE_LINE
    - Python dtype: unknown
- model
    - Comfy dtype: MODEL
    - Python dtype: unknown
- positive
    - Comfy dtype: CONDITIONING
    - Python dtype: unknown
- negative
    - Comfy dtype: CONDITIONING
    - Python dtype: unknown
- latent
    - Comfy dtype: LATENT
    - Python dtype: unknown
- vae
    - Comfy dtype: VAE
    - Python dtype: unknown
- clip
    - Comfy dtype: CLIP
    - Python dtype: unknown
- image
    - Comfy dtype: IMAGE
    - Python dtype: unknown
- seed
    - Comfy dtype: INT
    - Python dtype: unknown


## Usage tips
- Infra type: `GPU`
- Common nodes: unknown


## Source code
```python
class ttN_pipeKSamplerAdvanced_v2:
    version = '2.1.0'
    upscale_methods = ["None",
                       "[latent] nearest-exact", "[latent] bilinear", "[latent] area", "[latent] bicubic", "[latent] lanczos", "[latent] bislerp",
                       "[hiresFix] nearest-exact", "[hiresFix] bilinear", "[hiresFix] area", "[hiresFix] bicubic", "[hiresFix] lanczos", "[hiresFix] bislerp"]
    crop_methods = ["disabled", "center"]

    def __init__(self):
        pass

    @classmethod
    def INPUT_TYPES(cls):
        return {
            "required": {
                "pipe": ("PIPE_LINE",),
                
                "lora_name": (["None"] + folder_paths.get_filename_list("loras"),),
                "lora_strength": ("FLOAT", {"default": 1.0, "min": -10.0, "max": 10.0, "step": 0.01}),

                "upscale_method": (cls.upscale_methods, {"default": "None"}),
                "upscale_model_name": (folder_paths.get_filename_list("upscale_models"),),
                "factor": ("FLOAT", {"default": 2, "min": 0.0, "max": 10.0, "step": 0.25}),
                "rescale": (["by percentage", "to Width/Height", 'to longer side - maintain aspect', 'None'],),
                "percent": ("INT", {"default": 50, "min": 0, "max": 1000, "step": 1}),
                "width": ("INT", {"default": 1024, "min": 64, "max": MAX_RESOLUTION, "step": 8}),
                "height": ("INT", {"default": 1024, "min": 64, "max": MAX_RESOLUTION, "step": 8}),
                "longer_side": ("INT", {"default": 1024, "min": 64, "max": MAX_RESOLUTION, "step": 8}),
                "crop": (cls.crop_methods,),
                
                "sampler_state": (["Sample", "Hold"], ),
                "add_noise": (["enable", "disable"], ),
                "noise": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 1.0, "step": 0.01}),
                
                
                "steps": ("INT", {"default": 20, "min": 1, "max": 10000}),
                "start_at_step": ("INT", {"default": 0, "min": 0, "max": 10000}),
                "end_at_step": ("INT", {"default": 10000, "min": 0, "max": 10000}),
                "cfg": ("FLOAT", {"default": 8.0, "min": 0.0, "max": 100.0}),
                "sampler_name": (comfy.samplers.KSampler.SAMPLERS,),
                "scheduler": (comfy.samplers.KSampler.SCHEDULERS,),
                "return_with_leftover_noise": (["disable", "enable"], ),
                "image_output": (["Hide", "Preview", "Save", "Hide/Save", "Disabled"],),
                "save_prefix": ("STRING", {"default": "ComfyUI"}),
                },
            "optional": {
                "noise_seed": ("INT", {"default": 0, "min": 0, "max": 0xffffffffffffffff}),
                "optional_model": ("MODEL",),
                "optional_positive": ("CONDITIONING",),
                "optional_negative": ("CONDITIONING",),
                "optional_latent": ("LATENT",),
                "optional_vae": ("VAE",),
                "optional_clip": ("CLIP",),
                "input_image_override": ("IMAGE",),
                "adv_xyPlot": ("ADV_XYPLOT",),
                },
            "hidden": {
                "prompt": "PROMPT",
                "extra_pnginfo": "EXTRA_PNGINFO",
                "my_unique_id": "UNIQUE_ID",
                "embeddingsList": (folder_paths.get_filename_list("embeddings"),),
                "lorasList": (folder_paths.get_filename_list("loras"),),
                "ttNnodeVersion": ttN_pipeKSamplerAdvanced_v2.version
                },
            }

    RETURN_TYPES = ("PIPE_LINE", "MODEL", "CONDITIONING", "CONDITIONING", "LATENT", "VAE", "CLIP", "IMAGE", "INT", )
    RETURN_NAMES = ("pipe", "model", "positive", "negative", "latent","vae", "clip", "image", "seed", )
    OUTPUT_NODE = True
    FUNCTION = "adv_sample"
    CATEGORY = "ttN/pipe"

    def adv_sample(self, pipe,
               lora_name, lora_strength,
               sampler_state, add_noise, steps, cfg, sampler_name, scheduler, image_output, save_prefix, noise, 
               noise_seed=None, optional_model=None, optional_positive=None, optional_negative=None, optional_latent=None, optional_vae=None, optional_clip=None, input_image_override=None, adv_xyPlot=None, upscale_method=None, upscale_model_name=None, factor=None, rescale=None, percent=None, width=None, height=None, longer_side=None, crop=None, prompt=None, extra_pnginfo=None, my_unique_id=None, start_at_step=None, end_at_step=None, return_with_leftover_noise=False):

        force_full_denoise = True
        if return_with_leftover_noise == "enable":
            force_full_denoise = False

        disable_noise = False
        if add_noise == "disable":
            disable_noise = True

        return ttN_pipeKSampler_v2.sample(self, pipe, lora_name, lora_strength, sampler_state, steps, cfg, sampler_name, scheduler, image_output, save_prefix, noise, 
                optional_model, optional_positive, optional_negative, optional_latent, optional_vae, optional_clip, input_image_override, noise_seed, adv_xyPlot, upscale_model_name, upscale_method, factor, rescale, percent, width, height, longer_side, crop, prompt, extra_pnginfo, my_unique_id, start_at_step, end_at_step, force_full_denoise, disable_noise)

```