code: def model_and_diffusion_defaults():
      return dict(
          image_size=64,
          num_channels=192,
          num_res_blocks=3,
          channel_mult="",
          num_heads=1,
          num_head_channels=64,
          num_heads_upsample=-1,
          attention_resolutions="32,16,8",
          dropout=0.1,
          text_ctx=128,
          xf_width=512,
          xf_layers=16,
          xf_heads=8,
          xf_final_ln=True,
          xf_padding=True,
          diffusion_steps=1000,
          noise_schedule="squaredcos_cap_v2",
          timestep_respacing="",
          use_scale_shift_norm=True,
          resblock_updown=True,
          use_fp16=True,
          cache_text_emb=False,
          inpaint=False,
          super_res=False,
      )
  
file_path: glide-text2im/glide_text2im/model_creation.py
imports: from glide_text2im.gaussian_diffusion import get_named_beta_schedule
  from glide_text2im.respace import SpacedDiffusion, space_timesteps
  from glide_text2im.text2im_model import InpaintText2ImUNet, SuperResInpaintText2ImUnet, SuperResText2ImUNet, Text2ImUNet
  from glide_text2im.tokenizer.bpe import get_encoder
label_desc: Use image node_id 1 for calling a global function with example usage: model_and_diffusion_defaults() and returns: dict