mohamad1998630/controlnet 🔢📝✓🖼️ → ❓

▶️ 87 runs 📅 Feb 2024 ⚙️ Cog 0.9.4

About

Example Output

Prompt:

"Put furniture"

Output

Performance Metrics

35.30s Prediction Time

492.33s Total Time

All Input Parameters

{
  "eta": 0,
  "seed": 3.5,
  "scale": 9,
  "prompt": "Put furniture",
  "a_prompt": "best quality, extremely detailed",
  "n_prompt": "longbody, lowres, bad anatomy, bad hands, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality",
  "strength": 1,
  "ddim_steps": 20,
  "guess_mode": false,
  "num_samples": 1,
  "image_resolution": 512,
  "input_image_path": "https://replicate.delivery/pbxt/KSbEAl9T5UeDInRBNViM9xIpyYR2XNcRVqXC8gKJeWSfNe1y/point3d-commercial-imaging-ltd-nQlVMCHPysY-unsplash.jpg",
  "detect_resolution": 512
}

Input Parameters

eta Type: numberDefault: 0: eta
seed Type: numberDefault: 3.5: seed
scale Type: numberDefault: 9: scale
prompt (required) Type: string: prompt
a_prompt Type: stringDefault: best quality, extremely detailed: added prompt
n_prompt Type: stringDefault: longbody, lowres, bad anatomy, bad hands, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality: negative prompt
strength Type: numberDefault: 1: strength
ddim_steps Type: integerDefault: 20: ddim steps
guess_mode Type: booleanDefault: false: guess mode
num_samples Type: integerDefault: 1: num_samples
image_resolution Type: integerDefault: 512: Image resolution
input_image_path (required) Type: string: Image to process
detect_resolution Type: integerDefault: 512: detect_resolution

Output Schema

Output

Example Execution Logs

Image shape: (4480, 6720, 3)
/src/annotator/uniformer/mmseg/models/segmentors/base.py:271: UserWarning: show==False and out_file is not specified, only result image will be returned
warnings.warn('show==False and out_file is not specified, only '
Global seed set to 3
Data shape for DDIM sampling is (1, 4, 64, 96), eta 0.0
Running DDIM Sampling with 20 timesteps
DDIM Sampler:   0%|          | 0/20 [00:00<?, ?it/s]
DDIM Sampler:   5%|▌         | 1/20 [00:01<00:30,  1.59s/it]
DDIM Sampler:  10%|█         | 2/20 [00:02<00:26,  1.47s/it]
DDIM Sampler:  15%|█▌        | 3/20 [00:04<00:24,  1.43s/it]
DDIM Sampler:  20%|██        | 4/20 [00:05<00:22,  1.42s/it]
DDIM Sampler:  25%|██▌       | 5/20 [00:07<00:21,  1.41s/it]
DDIM Sampler:  30%|███       | 6/20 [00:08<00:19,  1.41s/it]
DDIM Sampler:  35%|███▌      | 7/20 [00:09<00:18,  1.41s/it]
DDIM Sampler:  40%|████      | 8/20 [00:11<00:16,  1.41s/it]
DDIM Sampler:  45%|████▌     | 9/20 [00:12<00:15,  1.42s/it]
DDIM Sampler:  50%|█████     | 10/20 [00:14<00:14,  1.42s/it]
DDIM Sampler:  55%|█████▌    | 11/20 [00:15<00:12,  1.42s/it]
DDIM Sampler:  60%|██████    | 12/20 [00:17<00:11,  1.43s/it]
DDIM Sampler:  65%|██████▌   | 13/20 [00:18<00:10,  1.43s/it]
DDIM Sampler:  70%|███████   | 14/20 [00:19<00:08,  1.43s/it]
DDIM Sampler:  75%|███████▌  | 15/20 [00:21<00:07,  1.43s/it]
DDIM Sampler:  80%|████████  | 16/20 [00:22<00:05,  1.43s/it]
DDIM Sampler:  85%|████████▌ | 17/20 [00:24<00:04,  1.44s/it]
DDIM Sampler:  90%|█████████ | 18/20 [00:25<00:02,  1.44s/it]
DDIM Sampler:  95%|█████████▌| 19/20 [00:27<00:01,  1.45s/it]
DDIM Sampler: 100%|██████████| 20/20 [00:28<00:00,  1.45s/it]
DDIM Sampler: 100%|██████████| 20/20 [00:28<00:00,  1.43s/it]
<class 'numpy.ndarray'>
(512, 768, 3)

Version Details

Version ID: 905298f5d96cb992b6133132b151d4029122599cfd57d7ceb4c4e447b2390855
Version Created: February 24, 2024

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