remodela-ai/virtual_staging_i 🔢🖼️📝❓ → 🖼️

▶️ 84 runs 📅 Mar 2024 ⚙️ Cog 0.9.21

About

Example Output

Prompt:

"Stage a minimalist bedroom with sleek, functional furniture and a monochromatic color scheme. Use a platform bed with clean lines in a neutral color. Incorporate simple nightstands with minimalist lamps, and add one or two pieces of understated artwork for a calm, uncluttered atmosphere."

Output

Performance Metrics

4.40s Prediction Time

39.19s Total Time

All Input Parameters

{
  "eta": 0,
  "image": "https://replicate.delivery/pbxt/Lri9Uerk52p3G50hlPEnBbsdXNYoLKbW723evW8riYxhCvOF/room.png",
  "scale": 9,
  "prompt": "Stage a minimalist bedroom with sleek, functional furniture and a monochromatic color scheme. Use a platform bed with clean lines in a neutral color. Incorporate simple nightstands with minimalist lamps, and add one or two pieces of understated artwork for a calm, uncluttered atmosphere.",
  "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",
  "ddim_steps": 20,
  "num_samples": "1",
  "value_threshold": 0.1,
  "image_resolution": "512",
  "detect_resolution": 512,
  "distance_threshold": 0.1
}

Input Parameters

eta Type: numberDefault: 0: Controls the amount of noise that is added to the input data during the denoising diffusion process. Higher value -> more noise
seed Type: integer: Seed
image (required) Type: string: Input image
scale Type: numberDefault: 9Range: 0.1 - 30: Scale for classifier-free guidance
prompt (required) Type: string: Prompt for the model
a_prompt Type: stringDefault: best quality, extremely detailed: Additional text to be appended to prompt
n_prompt Type: stringDefault: longbody, lowres, bad anatomy, bad hands, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality: Negative Prompt
ddim_steps Type: integerDefault: 20: Steps
num_samples Default: 1: Number of samples (higher values may OOM)
value_threshold Type: numberDefault: 0.1Range: 0.01 - 2: Value Threshold (only applicable when model type is 'MLSD')
image_resolution Default: 512: Image resolution to be generated
detect_resolution Type: integerDefault: 512Range: 128 - 1024: Resolution at which detection method will be applied)
distance_threshold Type: numberDefault: 0.1Range: 0.01 - 20: Distance Threshold (only applicable when model type is 'MLSD')

Output Schema

Output

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

Example Execution Logs

Global seed set to 163906
Data shape for DDIM sampling is (1, 4, 88, 64), eta 0.0
Running DDIM Sampling with 20 timesteps
DDIM Sampler:   0%|          | 0/20 [00:00<?, ?it/s]
DDIM Sampler:   5%|▌         | 1/20 [00:00<00:05,  3.72it/s]
DDIM Sampler:  10%|█         | 2/20 [00:00<00:03,  4.95it/s]
DDIM Sampler:  15%|█▌        | 3/20 [00:00<00:03,  5.53it/s]
DDIM Sampler:  20%|██        | 4/20 [00:00<00:02,  5.86it/s]
DDIM Sampler:  25%|██▌       | 5/20 [00:00<00:02,  6.06it/s]
DDIM Sampler:  30%|███       | 6/20 [00:01<00:02,  6.19it/s]
DDIM Sampler:  35%|███▌      | 7/20 [00:01<00:02,  6.28it/s]
DDIM Sampler:  40%|████      | 8/20 [00:01<00:01,  6.34it/s]
DDIM Sampler:  45%|████▌     | 9/20 [00:01<00:01,  6.38it/s]
DDIM Sampler:  50%|█████     | 10/20 [00:01<00:01,  6.41it/s]
DDIM Sampler:  55%|█████▌    | 11/20 [00:01<00:01,  6.42it/s]
DDIM Sampler:  60%|██████    | 12/20 [00:01<00:01,  6.43it/s]
DDIM Sampler:  65%|██████▌   | 13/20 [00:02<00:01,  6.44it/s]
DDIM Sampler:  70%|███████   | 14/20 [00:02<00:00,  6.44it/s]
DDIM Sampler:  75%|███████▌  | 15/20 [00:02<00:00,  6.45it/s]
DDIM Sampler:  80%|████████  | 16/20 [00:02<00:00,  6.45it/s]
DDIM Sampler:  85%|████████▌ | 17/20 [00:02<00:00,  6.46it/s]
DDIM Sampler:  90%|█████████ | 18/20 [00:02<00:00,  6.46it/s]
DDIM Sampler:  95%|█████████▌| 19/20 [00:03<00:00,  6.46it/s]
DDIM Sampler: 100%|██████████| 20/20 [00:03<00:00,  6.46it/s]
DDIM Sampler: 100%|██████████| 20/20 [00:03<00:00,  6.23it/s]

Version Details

Version ID: d4b366e4fb278a4da56ae53c8cf44237ed4446b1c7bdc5a404acbe69ebdbb287
Version Created: October 27, 2024

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