configs/sample/iddpm_ffhq512.yaml

gpu_id: ""
seed: 10000
display: True
im_size: 512

diffusion:
  target: models.script_util.create_gaussian_diffusion
  params:
    steps: 1000
    learn_sigma: True
    sigma_small: False
    noise_schedule: linear
    use_kl: False
    predict_xstart: False
    rescale_timesteps: False
    rescale_learned_sigmas: True
    timestep_respacing: "1000"

model:
  target: models.unet.UNetModel
  ckpt_path: pretrained_zoo/iddpm_ffhq512/ema0999_model_500000.pth
  params:
    image_size: 512
    in_channels: 3
    model_channels: 32
    out_channels: 6
    attention_resolutions: [32, 16, 8]
    dropout: 0
    channel_mult: [1, 2, 4, 8, 8, 16, 16]
    num_res_blocks: [1, 2, 2, 2, 2, 3, 4]
    conv_resample: True
    dims: 2
    use_fp16: False
    num_head_channels: 64
    use_scale_shift_norm: True
    resblock_updown: False
    use_new_attention_order: False

model_ir: ~