melgor/stabledesign_interiordesign 🔢📝🖼️ → 🖼️

▶️ 442.3K runs 📅 May 2024 ⚙️ Cog 0.9.8 🔗 GitHub 📄 Paper ⚖️ License

About

Transfer empty room into fabulous interior design

Example Output

Prompt:

"A glamorous master bedroom in Hollywood Regency style, boasting a plush tufted headboard, mirrored furniture reflecting elegance, luxurious fabrics in rich textures, and opulent gold accents for a touch of luxury."

Output

Performance Metrics

11.48s Prediction Time

387.95s Total Time

All Input Parameters

{
  "seed": 35853,
  "prompt": "A glamorous master bedroom in Hollywood Regency style, boasting a plush tufted headboard, mirrored furniture reflecting elegance, luxurious fabrics in rich textures, and opulent gold accents for a touch of luxury.",
  "img_size": 640,
  "strength": 0.9,
  "num_steps": 50,
  "image_base": "https://replicate.delivery/pbxt/L71nWgMUQvH7zKHG3U9YYdfREv1ybOfO1Q5ntak3YmUJizSR/image_0.jpg",
  "guidance_scale": 10
}

Input Parameters

seed Type: integerDefault: 35853: Seed
prompt (required) Type: string: Image prompt
img_size Type: integerDefault: 640: Img size
strength Type: numberDefault: 0.9: Strength
num_steps Type: integerDefault: 50: Number of steps
image_base (required) Type: string: Empty room
guidance_scale Type: integerDefault: 10: Guidance scale

Output Schema

Output

Type: string • Format: uri

Example Execution Logs

/root/.pyenv/versions/3.10.14/lib/python3.10/site-packages/torch/nn/modules/conv.py:456: UserWarning: Plan failed with a cudnnException: CUDNN_BACKEND_EXECUTION_PLAN_DESCRIPTOR: cudnnFinalize Descriptor Failed cudnn_status: CUDNN_STATUS_NOT_SUPPORTED (Triggered internally at ../aten/src/ATen/native/cudnn/Conv_v8.cpp:919.)
return F.conv2d(input, weight, bias, self.stride,
  0%|          | 0/50 [00:00<?, ?it/s]
  2%|▏         | 1/50 [00:00<00:07,  6.68it/s]
  8%|▊         | 4/50 [00:00<00:02, 15.39it/s]
 14%|█▍        | 7/50 [00:00<00:02, 18.52it/s]
 20%|██        | 10/50 [00:00<00:02, 19.84it/s]
 26%|██▌       | 13/50 [00:00<00:01, 20.74it/s]
 32%|███▏      | 16/50 [00:00<00:01, 21.31it/s]
 38%|███▊      | 19/50 [00:00<00:01, 21.66it/s]
 44%|████▍     | 22/50 [00:01<00:01, 21.90it/s]
 50%|█████     | 25/50 [00:01<00:01, 22.06it/s]
 56%|█████▌    | 28/50 [00:01<00:00, 22.17it/s]
 62%|██████▏   | 31/50 [00:01<00:00, 22.22it/s]
 68%|██████▊   | 34/50 [00:01<00:00, 22.03it/s]
 74%|███████▍  | 37/50 [00:01<00:00, 22.10it/s]
 80%|████████  | 40/50 [00:01<00:00, 22.11it/s]
 86%|████████▌ | 43/50 [00:02<00:00, 22.17it/s]
 92%|█████████▏| 46/50 [00:02<00:00, 22.21it/s]
 98%|█████████▊| 49/50 [00:02<00:00, 22.19it/s]
100%|██████████| 50/50 [00:02<00:00, 21.25it/s]
  0%|          | 0/45 [00:00<?, ?it/s]
  2%|▏         | 1/45 [00:00<00:07,  6.14it/s]
  7%|▋         | 3/45 [00:00<00:04,  9.30it/s]
 11%|█         | 5/45 [00:00<00:03, 10.74it/s]
 16%|█▌        | 7/45 [00:00<00:03, 11.46it/s]
 20%|██        | 9/45 [00:00<00:03, 11.86it/s]
 24%|██▍       | 11/45 [00:00<00:02, 12.11it/s]
 29%|██▉       | 13/45 [00:01<00:02, 12.25it/s]
 33%|███▎      | 15/45 [00:01<00:02, 12.35it/s]
 38%|███▊      | 17/45 [00:01<00:02, 12.42it/s]
 42%|████▏     | 19/45 [00:01<00:02, 12.45it/s]
 47%|████▋     | 21/45 [00:01<00:01, 12.48it/s]
 51%|█████     | 23/45 [00:01<00:01, 12.50it/s]
 56%|█████▌    | 25/45 [00:02<00:01, 12.52it/s]
 60%|██████    | 27/45 [00:02<00:01, 12.54it/s]
 64%|██████▍   | 29/45 [00:02<00:01, 12.55it/s]
 69%|██████▉   | 31/45 [00:02<00:01, 12.56it/s]
 73%|███████▎  | 33/45 [00:02<00:00, 12.56it/s]
 78%|███████▊  | 35/45 [00:02<00:00, 12.57it/s]
 82%|████████▏ | 37/45 [00:03<00:00, 12.58it/s]
 87%|████████▋ | 39/45 [00:03<00:00, 12.57it/s]
 91%|█████████ | 41/45 [00:03<00:00, 12.58it/s]
 96%|█████████▌| 43/45 [00:03<00:00, 12.61it/s]
100%|██████████| 45/45 [00:03<00:00, 12.62it/s]
100%|██████████| 45/45 [00:03<00:00, 12.24it/s]

Version Details

Version ID: 5e13482ea317670bfc797bb18bace359860a721a39b5bbcaa1ffcd241d62bca0
Version Created: May 29, 2024

Run on Replicate →