# 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
---

{}
region:us
TAGS
#region-us 

# 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
---

# 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
---
TAGS
#region-us 
 # 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
---
passage: TAGS
#region-us 
# 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
---