{
  "_class_name": [
    "pipeline",
    "MiniT2ITextToImagePipeline"
  ],
  "_diffusers_version": "0.32.0",
  "default_num_inference_steps": 100,
  "model_type": "b16",
  "recommended_guidance_scale": 2.5,
  "scheduler": [
    "diffusers",
    "FlowMatchEulerDiscreteScheduler"
  ],
  "text_encoder": [
    "transformers",
    "T5EncoderModel"
  ],
  "tokenizer": [
    "transformers",
    "T5Tokenizer"
  ],
  "transformer": [
    "transformer_minit2i",
    "MiniT2IMMJiTModel"
  ]
}