Class LTXVBaseSampler

easy_samplers.py:37–295

    name="LTXVBaseSampler",
)
class LTXVBaseSampler:

    @classmethod
    def INPUT_TYPES(s):
        return {
            "required": {
                "model": ("MODEL", {"tooltip": "The diffusion model to use."}),
                "vae": ("VAE", {"tooltip": "The VAE to use."}),
                "width": (
                    "INT",
                    {
                        "default": 768,
                        "min": 64,
                        "max": nodes.MAX_RESOLUTION,
                        "step": 32,
                    },
                ),
                "height": (
                    "INT",
                    {
                        "default": 512,
                        "min": 64,
                        "max": nodes.MAX_RESOLUTION,
                        "step": 32,
                    },
                ),
                "num_frames": (
                    "INT",
                    {"default": 97, "min": 1, "max": nodes.MAX_RESOLUTION, "step": 8},
                ),
                "guider": (
                    "GUIDER",
                    {"tooltip": "The guider to use, must be a STGGuiderAdvanced."},
                ),
                "sampler": ("SAMPLER", {"tooltip": "The sampler to use."}),
                "sigmas": ("SIGMAS", {"tooltip": "The sigmas to use."}),
                "noise": ("NOISE", {"tooltip": "The noise to use for the sampling."}),
            },
            "optional": {
                "optional_cond_images": (
                    "IMAGE",
                    {"tooltip": "The images to use for conditioning the sampling."},
                ),
                "optional_cond_indices": (
                    "STRING",
                    {
                        "tooltip": "The indices of the images to use for conditioning the sampling."
                    },
                ),
                "strength": (
                    "FLOAT",
                    {
                        "default": 0.9,
                        "min": 0,
                        "max": 1,
                        "tooltip": "The strength of the conditioning on the images.",
                    },
                ),