nightmareai/latent-sr ❓🖼️🔢 → 🖼️

▶️ 116.8K runs 📅 Jul 2022 ⚙️ Cog v0.3.13+dev 🔗 GitHub ⚖️ License
image-upscaling super-resolution

Performance

1007.7sTypical run time
116.8KTotal runs

About

Upscale images with the latent diffusion superresolution model

Example Output

Output

Example output

Performance Metrics

1007.69s Prediction Time
1224.40s Total Time
All Input Parameters
{
  "up_f": 4,
  "image": "https://replicate.delivery/mgxm/d4fea5b0-2ffb-4fe5-b651-de6058763080/4K-old-and-dusty-wood-floor-with-scratches-and-bumps-seamle.png",
  "steps": 100
}
Input Parameters
up_f Default: 4
Upscale factor
image (required) Type: string
Image
steps Type: integerDefault: 100
Sampling steps
Output Schema

Output

Type: stringFormat: uri

Example Execution Logs
Plotting: Switched to EMA weights
Sampling with eta = 1.0; steps: 100
Data shape for DDIM sampling is (1, 3, 704, 704), eta 1.0
Running DDIM Sampling with 100 timesteps
Sampling:   0%|          | 0/1 [00:00<?, ?it/s]

DDIM Sampler:   0%|          | 0/100 [00:00<?, ?it/s]

DDIM Sampler:   1%|          | 1/100 [00:07<12:11,  7.39s/it]

DDIM Sampler:   2%|▏         | 2/100 [00:14<12:04,  7.39s/it]

DDIM Sampler:   3%|▎         | 3/100 [00:22<11:56,  7.39s/it]

DDIM Sampler:   4%|▍         | 4/100 [00:29<11:48,  7.38s/it]

DDIM Sampler:   5%|▌         | 5/100 [00:36<11:39,  7.36s/it]

DDIM Sampler:   6%|▌         | 6/100 [00:44<11:31,  7.35s/it]

DDIM Sampler:   7%|▋         | 7/100 [00:51<11:23,  7.35s/it]

DDIM Sampler:   8%|▊         | 8/100 [00:58<11:15,  7.35s/it]

DDIM Sampler:   9%|▉         | 9/100 [01:06<11:08,  7.35s/it]

DDIM Sampler:  10%|█         | 10/100 [01:13<11:02,  7.36s/it]

DDIM Sampler:  11%|█         | 11/100 [01:20<10:55,  7.36s/it]

DDIM Sampler:  12%|█▏        | 12/100 [01:28<10:48,  7.37s/it]

DDIM Sampler:  13%|█▎        | 13/100 [01:35<10:41,  7.37s/it]

DDIM Sampler:  14%|█▍        | 14/100 [01:43<10:33,  7.37s/it]

DDIM Sampler:  15%|█▌        | 15/100 [01:50<10:26,  7.37s/it]

DDIM Sampler:  16%|█▌        | 16/100 [01:57<10:18,  7.37s/it]

DDIM Sampler:  17%|█▋        | 17/100 [02:05<10:10,  7.36s/it]

DDIM Sampler:  18%|█▊        | 18/100 [02:12<10:03,  7.36s/it]

DDIM Sampler:  19%|█▉        | 19/100 [02:19<09:55,  7.36s/it]

DDIM Sampler:  20%|██        | 20/100 [02:27<09:48,  7.36s/it]

DDIM Sampler:  21%|██        | 21/100 [02:34<09:41,  7.36s/it]

DDIM Sampler:  22%|██▏       | 22/100 [02:41<09:33,  7.36s/it]

DDIM Sampler:  23%|██▎       | 23/100 [02:49<09:26,  7.36s/it]

DDIM Sampler:  24%|██▍       | 24/100 [02:56<09:19,  7.36s/it]

DDIM Sampler:  25%|██▌       | 25/100 [03:04<09:11,  7.36s/it]

DDIM Sampler:  26%|██▌       | 26/100 [03:11<09:04,  7.36s/it]

DDIM Sampler:  27%|██▋       | 27/100 [03:18<08:57,  7.37s/it]

DDIM Sampler:  28%|██▊       | 28/100 [03:26<08:50,  7.37s/it]

DDIM Sampler:  29%|██▉       | 29/100 [03:33<08:43,  7.37s/it]

DDIM Sampler:  30%|███       | 30/100 [03:40<08:36,  7.38s/it]

DDIM Sampler:  31%|███       | 31/100 [03:48<08:29,  7.38s/it]

DDIM Sampler:  32%|███▏      | 32/100 [03:55<08:21,  7.38s/it]

DDIM Sampler:  33%|███▎      | 33/100 [04:03<08:14,  7.38s/it]

DDIM Sampler:  34%|███▍      | 34/100 [04:10<08:06,  7.38s/it]

DDIM Sampler:  35%|███▌      | 35/100 [04:17<07:59,  7.38s/it]

DDIM Sampler:  36%|███▌      | 36/100 [04:25<07:51,  7.37s/it]

DDIM Sampler:  37%|███▋      | 37/100 [04:32<07:44,  7.37s/it]

DDIM Sampler:  38%|███▊      | 38/100 [04:39<07:36,  7.36s/it]

DDIM Sampler:  39%|███▉      | 39/100 [04:47<07:29,  7.36s/it]

DDIM Sampler:  40%|████      | 40/100 [04:54<07:21,  7.36s/it]

DDIM Sampler:  41%|████      | 41/100 [05:01<07:13,  7.35s/it]

DDIM Sampler:  42%|████▏     | 42/100 [05:09<07:06,  7.35s/it]

DDIM Sampler:  43%|████▎     | 43/100 [05:16<06:58,  7.35s/it]

DDIM Sampler:  44%|████▍     | 44/100 [05:23<06:51,  7.35s/it]

DDIM Sampler:  45%|████▌     | 45/100 [05:31<06:44,  7.35s/it]

DDIM Sampler:  46%|████▌     | 46/100 [05:38<06:36,  7.35s/it]

DDIM Sampler:  47%|████▋     | 47/100 [05:46<06:29,  7.35s/it]

DDIM Sampler:  48%|████▊     | 48/100 [05:53<06:22,  7.35s/it]

DDIM Sampler:  49%|████▉     | 49/100 [06:00<06:14,  7.35s/it]

DDIM Sampler:  50%|█████     | 50/100 [06:08<06:07,  7.35s/it]

DDIM Sampler:  51%|█████     | 51/100 [06:15<06:00,  7.35s/it]

DDIM Sampler:  52%|█████▏    | 52/100 [06:22<05:52,  7.35s/it]

DDIM Sampler:  53%|█████▎    | 53/100 [06:30<05:45,  7.35s/it]

DDIM Sampler:  54%|█████▍    | 54/100 [06:37<05:38,  7.35s/it]

DDIM Sampler:  55%|█████▌    | 55/100 [06:44<05:30,  7.35s/it]

DDIM Sampler:  56%|█████▌    | 56/100 [06:52<05:23,  7.35s/it]

DDIM Sampler:  57%|█████▋    | 57/100 [06:59<05:16,  7.35s/it]

DDIM Sampler:  58%|█████▊    | 58/100 [07:06<05:08,  7.35s/it]

DDIM Sampler:  59%|█████▉    | 59/100 [07:14<05:01,  7.35s/it]

DDIM Sampler:  60%|██████    | 60/100 [07:21<04:53,  7.35s/it]

DDIM Sampler:  61%|██████    | 61/100 [07:28<04:46,  7.35s/it]

DDIM Sampler:  62%|██████▏   | 62/100 [07:36<04:39,  7.35s/it]

DDIM Sampler:  63%|██████▎   | 63/100 [07:43<04:32,  7.35s/it]

DDIM Sampler:  64%|██████▍   | 64/100 [07:51<04:24,  7.35s/it]

DDIM Sampler:  65%|██████▌   | 65/100 [07:58<04:17,  7.35s/it]

DDIM Sampler:  66%|██████▌   | 66/100 [08:05<04:09,  7.35s/it]

DDIM Sampler:  67%|██████▋   | 67/100 [08:13<04:02,  7.35s/it]

DDIM Sampler:  68%|██████▊   | 68/100 [08:20<03:55,  7.35s/it]

DDIM Sampler:  69%|██████▉   | 69/100 [08:27<03:47,  7.35s/it]

DDIM Sampler:  70%|███████   | 70/100 [08:35<03:40,  7.35s/it]

DDIM Sampler:  71%|███████   | 71/100 [08:42<03:33,  7.35s/it]

DDIM Sampler:  72%|███████▏  | 72/100 [08:49<03:25,  7.35s/it]

DDIM Sampler:  73%|███████▎  | 73/100 [08:57<03:18,  7.35s/it]

DDIM Sampler:  74%|███████▍  | 74/100 [09:04<03:11,  7.35s/it]

DDIM Sampler:  75%|███████▌  | 75/100 [09:11<03:03,  7.36s/it]

DDIM Sampler:  76%|███████▌  | 76/100 [09:19<02:56,  7.36s/it]

DDIM Sampler:  77%|███████▋  | 77/100 [09:26<02:49,  7.36s/it]

DDIM Sampler:  78%|███████▊  | 78/100 [09:33<02:41,  7.36s/it]

DDIM Sampler:  79%|███████▉  | 79/100 [09:41<02:34,  7.35s/it]

DDIM Sampler:  80%|████████  | 80/100 [09:48<02:27,  7.35s/it]

DDIM Sampler:  81%|████████  | 81/100 [09:56<02:19,  7.35s/it]

DDIM Sampler:  82%|████████▏ | 82/100 [10:03<02:12,  7.35s/it]

DDIM Sampler:  83%|████████▎ | 83/100 [10:10<02:04,  7.35s/it]

DDIM Sampler:  84%|████████▍ | 84/100 [10:18<01:57,  7.35s/it]

DDIM Sampler:  85%|████████▌ | 85/100 [10:25<01:50,  7.35s/it]

DDIM Sampler:  86%|████████▌ | 86/100 [10:32<01:42,  7.35s/it]

DDIM Sampler:  87%|████████▋ | 87/100 [10:40<01:35,  7.36s/it]

DDIM Sampler:  88%|████████▊ | 88/100 [10:47<01:28,  7.36s/it]

DDIM Sampler:  89%|████████▉ | 89/100 [10:54<01:21,  7.36s/it]

DDIM Sampler:  90%|█████████ | 90/100 [11:02<01:13,  7.37s/it]

DDIM Sampler:  91%|█████████ | 91/100 [11:09<01:06,  7.37s/it]

DDIM Sampler:  92%|█████████▏| 92/100 [11:17<00:59,  7.38s/it]

DDIM Sampler:  93%|█████████▎| 93/100 [11:24<00:51,  7.38s/it]

DDIM Sampler:  94%|█████████▍| 94/100 [11:31<00:44,  7.38s/it]

DDIM Sampler:  95%|█████████▌| 95/100 [11:39<00:36,  7.37s/it]

DDIM Sampler:  96%|█████████▌| 96/100 [11:46<00:29,  7.37s/it]

DDIM Sampler:  97%|█████████▋| 97/100 [11:53<00:22,  7.37s/it]

DDIM Sampler:  98%|█████████▊| 98/100 [12:01<00:14,  7.37s/it]

DDIM Sampler:  99%|█████████▉| 99/100 [12:08<00:07,  7.37s/it]

DDIM Sampler: 100%|██████████| 100/100 [12:15<00:00,  7.36s/it]
DDIM Sampler: 100%|██████████| 100/100 [12:15<00:00,  7.36s/it]
Plotting: Restored training weights

Sampling: 100%|██████████| 1/1 [16:28<00:00, 988.03s/it]
Sampling: 100%|██████████| 1/1 [16:28<00:00, 988.03s/it]
Version Details
Version ID
9117a98dd15e931011b8b960963a2dec20ab493c6c0d3a134525273da1616abc
Version Created
July 12, 2022
Run on Replicate →