nightmareai/latent-sr ❓🖼️🔢 → 🖼️

▶️ 116.5K runs 📅 Jul 2022 ⚙️ Cog v0.3.13+dev 🔗 GitHub ⚖️ License
image-upscaling super-resolution

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]

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

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

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

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

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

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

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

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

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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]

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

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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
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