{
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  "class_type": "UNETLoader",
  "inputs": {
   "unet_name": "qwen_image_2.1_turbo_int8_convrot.safetensors",
   "weight_dtype": "default"
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   "vae_name": "qwen_image_2.1_vae_bf16.safetensors"
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    "clip",
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   ],
   "prompt": "The image is a square realistic photograph of a corgi and a black cat sitting side by side on a blue-painted wooden park bench on a damp autumn afternoon, the background a softly blurred park path lined with bare trees. The corgi sits on the left half of the bench and wears a bright yellow hooded raincoat with the hood down. The black cat sits on the right half of the bench and wears a red knitted scarf wrapped once around its neck, and a tiny closed green umbrella leans against the bench beside its front paws. On the bench seat exactly between the two animals lies a single orange maple leaf. Behind the bench, slightly right of centre, stands a black iron lamppost carrying a round white clock face with black hands, and the clock shows ten past three. In the lower-left corner a shallow puddle on the path reflects the blue of the bench and the yellow of the raincoat. The lighting is soft overcast daylight from above with no hard shadows. The overall composition is balanced and eye level with the two animals as the clear focal point, the palette built from blue, yellow, red and black against muted autumn browns, and the mood is calm and slightly comic.",
   "negative_prompt": "",
   "resolution": 1024
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 "latent": {
  "class_type": "EmptyLatentImage",
  "inputs": {
   "width": 1024,
   "height": 1024,
   "batch_size": 1
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 "sigmas": {
  "class_type": "ManualSigmas",
  "inputs": {
   "sigmas": "1.0, 0.978453, 0.95418, 0.926626, 0.89508, 0.845148, 0.704534, 0.414568, 0.0"
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  "class_type": "KSamplerSelect",
  "inputs": {
   "sampler_name": "euler"
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 "sampler": {
  "class_type": "SamplerCustom",
  "inputs": {
   "model": [
    "unet",
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   ],
   "add_noise": true,
   "noise_seed": 1234,
   "cfg": 1.0,
   "positive": [
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   "negative": [
    "encode",
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   "sampler": [
    "sampler_select",
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   "sigmas": [
    "sigmas",
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   "latent_image": [
    "latent",
    0
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 "decode": {
  "class_type": "VAEDecode",
  "inputs": {
   "samples": [
    "sampler",
    0
   ],
   "vae": [
    "vae",
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 "save": {
  "class_type": "SaveImage",
  "inputs": {
   "images": [
    "decode",
    0
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   "filename_prefix": "qwen-image-2-1-turbo/adh-binding-turbo"
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}