readme: # 512x512 Diffusion (Architecture fine-tuned)
  
  ## Detailed description
  
  A 512x512 unconditional ImageNet diffusion model, fine-tuned for 900.000 samples from the 512x512 unconditional ImageNet diffusion model. It was fine-tuned using 60.000 images of architecture of the AIDA dataset from Harvard x ArchDaily.
  
  ## Config (as used in Disco Diffusion)
  
  {
          "attention_resolutions": '32, 16, 8',
          "class_cond": False,
          "diffusion_steps": 1000,
          "image_size": 512,
          "learn_sigma": True,
          "noise_schedule": "linear",
          "num_channels": 256,
          "num_head_channels": 64,
          "num_res_blocks": 2,
          "resblock_updown": True,
          "rescale_timesteps": True,
          "timestep_respacing": "250",
          "use_scale_shift_norm": True
  }
  
  ---
  license: cc
  ---
  