model_index.json

{
  "_class_name": "SuperDiffPipeline",
  "_diffusers_version": "0.31.0",
  "pipeline_tag": "custom",
  "model_config": {
    "scheduler": ["diffusers", "EulerDiscreteScheduler"],
    "text_encoder": ["transformers", "CLIPTextModel"],
    "tokenizer": ["transformers", "CLIPTokenizer"],
    "unet": ["diffusers", "UNet2DConditionModel"],
    "vae": ["diffusers", "AutoencoderKL"]
  },
  "default_config": {
    "batch_size": 1,
    "device": "cuda",
    "guidance_scale": 7.5,
    "lift": 0.0,
    "num_inference_steps": 1000,
    "seed": 1
  }
}