{
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    "beta_schedule": "scaled_linear",
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    "clip_sample": false,
    "num_train_timesteps": 1000,
    "prediction_type": "epsilon",
    "set_alpha_to_one": false,
    "skip_prk_steps": true,
    "steps_offset": 1,
    "trained_betas": null
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  "text_encoder": {
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  "tokenizer": {
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  "unet": {
    "_class_name": "UNet2DConditionModel"
  },
  "vae": {
    "_class_name": "AutoencoderKL"
  }
}