lightweight-ai/test_sk2ig_f 🔢🖼️📝❓✓ → 🖼️

▶️ 231 runs 📅 Apr 2025 ⚙️ Cog 0.13.6

About

Example Output

Prompt:

"a rose"

Output

Performance Metrics

13.15s Prediction Time

116.71s Total Time

All Input Parameters

{
  "seed": 88456,
  "image": "https://replicate.delivery/pbxt/MqSQLpdaQBnj9kxWbJMfh4rYSyHJuhOtI7uACtN6XTXnAvXx/aa96dadef832b0af3ecbefea17fc8acc%20%28Copy%29.jpg",
  "prompt": "a rose",
  "style_name": "Pixel art",
  "hed_enabled": true,
  "canny_enabled": false,
  "guidance_scale": 3.5,
  "negative_prompt": "sloppy, messy, blurry, noisy, highly detailed, ultra textured, photo, realistic",
  "num_inference_steps": 28,
  "controlnet_conditioning_scale": 0.45
}

Input Parameters

seed Type: integer: Random seed for reproducibility
image Type: string: Upload an input image
prompt Type: stringDefault: High quality, 4K, UHD: Prompt for the generated image
style_name Default: Photographic: Select a visual style
hed_enabled Type: booleanDefault: true: Enable HED preprocessing
canny_enabled Type: booleanDefault: false: Enable Canny preprocessing
guidance_scale Type: numberDefault: 3.5: Classifier-free guidance scale
negative_prompt Type: stringDefault: ugly, blurry, deformed: Negative prompt to avoid undesired results
num_inference_steps Type: integerDefault: 25: Number of inference steps
controlnet_conditioning_scale Type: numberDefault: 0.7: ControlNet conditioning scale

Output Schema

Output

Type: array • Items Type: string • Items Format: uri

Example Execution Logs

`height` and `width` have to be divisible by 16 but are 1030 and 736. Dimensions will be resized accordingly
  0%|          | 0/28 [00:00<?, ?it/s]
  4%|▎         | 1/28 [00:00<00:13,  1.94it/s]
  7%|▋         | 2/28 [00:00<00:09,  2.73it/s]
 11%|█         | 3/28 [00:01<00:09,  2.60it/s]
 14%|█▍        | 4/28 [00:01<00:09,  2.55it/s]
 18%|█▊        | 5/28 [00:01<00:09,  2.52it/s]
 21%|██▏       | 6/28 [00:02<00:08,  2.50it/s]
 25%|██▌       | 7/28 [00:02<00:08,  2.49it/s]
 29%|██▊       | 8/28 [00:03<00:08,  2.49it/s]
 32%|███▏      | 9/28 [00:03<00:07,  2.48it/s]
 36%|███▌      | 10/28 [00:04<00:07,  2.48it/s]
 39%|███▉      | 11/28 [00:04<00:06,  2.47it/s]
 43%|████▎     | 12/28 [00:04<00:06,  2.47it/s]
 46%|████▋     | 13/28 [00:05<00:06,  2.47it/s]
 50%|█████     | 14/28 [00:05<00:05,  2.47it/s]
 54%|█████▎    | 15/28 [00:06<00:05,  2.47it/s]
 57%|█████▋    | 16/28 [00:06<00:04,  2.47it/s]
 61%|██████    | 17/28 [00:06<00:04,  2.47it/s]
 64%|██████▍   | 18/28 [00:07<00:04,  2.47it/s]
 68%|██████▊   | 19/28 [00:07<00:03,  2.47it/s]
 71%|███████▏  | 20/28 [00:08<00:03,  2.47it/s]
 75%|███████▌  | 21/28 [00:08<00:02,  2.47it/s]
 79%|███████▊  | 22/28 [00:08<00:02,  2.47it/s]
 82%|████████▏ | 23/28 [00:09<00:02,  2.46it/s]
 86%|████████▌ | 24/28 [00:09<00:01,  2.46it/s]
 89%|████████▉ | 25/28 [00:10<00:01,  2.46it/s]
 93%|█████████▎| 26/28 [00:10<00:00,  2.46it/s]
 96%|█████████▋| 27/28 [00:10<00:00,  2.46it/s]
100%|██████████| 28/28 [00:11<00:00,  2.46it/s]
100%|██████████| 28/28 [00:11<00:00,  2.47it/s]
출력 이미지가 /tmp/outpaint_output.png에 저장되었습니다.

Version Details

Version ID: efe3e58513bbeeee60c926eb5e9d67a774848dbcdc74000a1db71515a43e0110
Version Created: May 9, 2025

Run on Replicate →