| # 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 | |
| --- | |