{
 "unet": {
  "class_type": "UNETLoader",
  "inputs": {
   "unet_name": "ltx-2.5-22b-distilled-transformer-comfy-int8-convrot.safetensors",
   "weight_dtype": "default"
  }
 },
 "clip": {
  "class_type": "CLIPLoader",
  "inputs": {
   "clip_name": "gemma4-12b-with-proj-ltx-2.5-comfy-int8-convrot.safetensors",
   "type": "ltxv",
   "device": "default"
  }
 },
 "vae": {
  "class_type": "VAELoader",
  "inputs": {
   "vae_name": "ltx-2.5-video-vae-bf16.safetensors"
  }
 },
 "avae": {
  "class_type": "VAELoader",
  "inputs": {
   "vae_name": "ltx-2.5-audio-vae-bf16.safetensors"
  }
 },
 "up": {
  "class_type": "LatentUpscaleModelLoader",
  "inputs": {
   "model_name": "ltx-2.5-latent-spatial-upscaler-x2-bf16-1.0.safetensors"
  }
 },
 "pos": {
  "class_type": "CLIPTextEncode",
  "inputs": {
   "text": "Side view of a small smooth-coated brown and tan miniature dachshund standing still on a light wood kitchen floor in a bright sunlit kitchen, long body in profile filling the middle of the frame, it turns its head to look straight at the camera with a proud serious expression and blinks. Almost motionless. The camera is almost still. Full-frame image filling the entire frame edge to edge, photorealistic, warm morning light.",
   "clip": [
    "clip",
    0
   ]
  }
 },
 "neg": {
  "class_type": "CLIPTextEncode",
  "inputs": {
   "text": "black borders, film frame border, rounded corners, letterbox bars, pillarbox, text, letters, words, writing, watermark, logo, subtitles, cartoon, CGI, oversaturated, low quality, blurry, flicker, warping, morphing, extra legs, deformed, people, hands",
   "clip": [
    "clip",
    0
   ]
  }
 },
 "cond": {
  "class_type": "LTXVConditioning",
  "inputs": {
   "positive": [
    "pos",
    0
   ],
   "negative": [
    "neg",
    0
   ],
   "frame_rate": 24
  }
 },
 "ev": {
  "class_type": "EmptyLTXVLatentVideo",
  "inputs": {
   "width": 960,
   "height": 544,
   "length": 121,
   "batch_size": 1
  }
 },
 "ea": {
  "class_type": "LTXVEmptyLatentAudio",
  "inputs": {
   "frames_number": 121,
   "frame_rate": 24,
   "batch_size": 1,
   "audio_vae": [
    "avae",
    0
   ]
  }
 },
 "n1": {
  "class_type": "RandomNoise",
  "inputs": {
   "noise_seed": 2207
  }
 },
 "ks": {
  "class_type": "KSamplerSelect",
  "inputs": {
   "sampler_name": "euler_ancestral"
  }
 },
 "sg1": {
  "class_type": "ManualSigmas",
  "inputs": {
   "sigmas": "1.0, 0.99375, 0.9875, 0.98125, 0.975, 0.909375, 0.725, 0.421875, 0.0"
  }
 },
 "gd": {
  "class_type": "LTXVDualCFGGuider",
  "inputs": {
   "model": [
    "unet",
    0
   ],
   "positive": [
    "cond",
    0
   ],
   "negative": [
    "cond",
    1
   ],
   "video_cfg": 1.0,
   "audio_cfg": 1.0
  }
 },
 "n2": {
  "class_type": "RandomNoise",
  "inputs": {
   "noise_seed": 42
  }
 },
 "sg2": {
  "class_type": "ManualSigmas",
  "inputs": {
   "sigmas": "0.85, 0.7250, 0.4219, 0.0"
  }
 },
 "av1": {
  "class_type": "LTXVConcatAVLatent",
  "inputs": {
   "video_latent": [
    "ev",
    0
   ],
   "audio_latent": [
    "ea",
    0
   ]
  }
 },
 "s1": {
  "class_type": "SamplerCustomAdvanced",
  "inputs": {
   "noise": [
    "n1",
    0
   ],
   "guider": [
    "gd",
    0
   ],
   "sampler": [
    "ks",
    0
   ],
   "sigmas": [
    "sg1",
    0
   ],
   "latent_image": [
    "av1",
    0
   ]
  }
 },
 "sep1": {
  "class_type": "LTXVSeparateAVLatent",
  "inputs": {
   "av_latent": [
    "s1",
    0
   ]
  }
 },
 "ups": {
  "class_type": "LTXVLatentUpsampler",
  "inputs": {
   "samples": [
    "sep1",
    0
   ],
   "upscale_model": [
    "up",
    0
   ],
   "vae": [
    "vae",
    0
   ]
  }
 },
 "av2": {
  "class_type": "LTXVConcatAVLatent",
  "inputs": {
   "video_latent": [
    "ups",
    0
   ],
   "audio_latent": [
    "sep1",
    1
   ]
  }
 },
 "s2": {
  "class_type": "SamplerCustomAdvanced",
  "inputs": {
   "noise": [
    "n2",
    0
   ],
   "guider": [
    "gd",
    0
   ],
   "sampler": [
    "ks",
    0
   ],
   "sigmas": [
    "sg2",
    0
   ],
   "latent_image": [
    "av2",
    0
   ]
  }
 },
 "sep2": {
  "class_type": "LTXVSeparateAVLatent",
  "inputs": {
   "av_latent": [
    "s2",
    0
   ]
  }
 },
 "dec": {
  "class_type": "VAEDecodeTiled",
  "inputs": {
   "samples": [
    "sep2",
    0
   ],
   "vae": [
    "vae",
    0
   ],
   "tile_size": 512,
   "overlap": 64,
   "temporal_size": 64,
   "temporal_overlap": 16
  }
 },
 "mk": {
  "class_type": "CreateVideo",
  "inputs": {
   "images": [
    "dec",
    0
   ],
   "fps": 24
  }
 },
 "save": {
  "class_type": "SaveVideo",
  "inputs": {
   "video": [
    "mk",
    0
   ],
   "filename_prefix": "video-lab/ltx25_dachshund",
   "format": "mp4",
   "codec": "h264"
  }
 }
}