yasuda0404/photoaudrey 🔢❓📝 → 🖼️

▶️ 194 runs 📅 Dec 2022 ⚙️ Cog 0.6.0

About

Audrey Model

Example Output

Prompt:

"photo of audrey writing a letter to her mother"

Output

Performance Metrics

12.85s Prediction Time

12.89s Total Time

All Input Parameters

{
  "width": 512,
  "height": 512,
  "prompt": "photo of audrey writing a letter to her mother",
  "num_outputs": 1,
  "guidance_scale": 7.5,
  "num_inference_steps": 50
}

Input Parameters

seed Type: integer: Random seed. Leave blank to randomize the seed
width Default: 512: Width of output image. Maximum size is 1024x768 or 768x1024 because of memory limits
height Default: 512: Height of output image. Maximum size is 1024x768 or 768x1024 because of memory limits
prompt Type: stringDefault: a cjw cat in a bucket: Input prompt
num_outputs Default: 1: Number of images to output
guidance_scale Type: numberDefault: 7.5Range: 1 - 20: Scale for classifier-free guidance
negative_prompt Type: string: The prompt NOT to guide the image generation. Ignored when not using guidance
num_inference_steps Type: integerDefault: 50Range: 1 - 500: Number of denoising steps

Output Schema

Output

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

Example Execution Logs

Loading pipeline...
Using seed: 21066
Global seed set to 21066
  0%|          | 0/50 [00:00<?, ?it/s]
  2%|▏         | 1/50 [00:00<00:14,  3.47it/s]
  4%|▍         | 2/50 [00:00<00:12,  3.85it/s]
  6%|▌         | 3/50 [00:00<00:11,  3.99it/s]
  8%|▊         | 4/50 [00:01<00:11,  4.06it/s]
 10%|█         | 5/50 [00:01<00:11,  4.07it/s]
 12%|█▏        | 6/50 [00:01<00:10,  4.09it/s]
 14%|█▍        | 7/50 [00:01<00:10,  4.11it/s]
 16%|█▌        | 8/50 [00:01<00:10,  4.11it/s]
 18%|█▊        | 9/50 [00:02<00:09,  4.10it/s]
 20%|██        | 10/50 [00:02<00:09,  4.10it/s]
 22%|██▏       | 11/50 [00:02<00:09,  4.12it/s]
 24%|██▍       | 12/50 [00:02<00:09,  4.11it/s]
 26%|██▌       | 13/50 [00:03<00:09,  4.10it/s]
 28%|██▊       | 14/50 [00:03<00:08,  4.10it/s]
 30%|███       | 15/50 [00:03<00:08,  4.11it/s]
 32%|███▏      | 16/50 [00:03<00:08,  4.12it/s]
 34%|███▍      | 17/50 [00:04<00:08,  4.10it/s]
 36%|███▌      | 18/50 [00:04<00:07,  4.10it/s]
 38%|███▊      | 19/50 [00:04<00:07,  4.11it/s]
 40%|████      | 20/50 [00:04<00:07,  4.11it/s]
 42%|████▏     | 21/50 [00:05<00:07,  4.11it/s]
 44%|████▍     | 22/50 [00:05<00:06,  4.10it/s]
 46%|████▌     | 23/50 [00:05<00:06,  4.11it/s]
 48%|████▊     | 24/50 [00:05<00:06,  4.11it/s]
 50%|█████     | 25/50 [00:06<00:06,  4.11it/s]
 52%|█████▏    | 26/50 [00:06<00:05,  4.09it/s]
 54%|█████▍    | 27/50 [00:06<00:05,  4.09it/s]
 56%|█████▌    | 28/50 [00:06<00:05,  4.10it/s]
 58%|█████▊    | 29/50 [00:07<00:05,  4.10it/s]
 60%|██████    | 30/50 [00:07<00:04,  4.09it/s]
 62%|██████▏   | 31/50 [00:07<00:04,  4.09it/s]
 64%|██████▍   | 32/50 [00:07<00:04,  4.10it/s]
 66%|██████▌   | 33/50 [00:08<00:04,  4.11it/s]
 68%|██████▊   | 34/50 [00:08<00:03,  4.10it/s]
 70%|███████   | 35/50 [00:08<00:03,  4.09it/s]
 72%|███████▏  | 36/50 [00:08<00:03,  4.09it/s]
 74%|███████▍  | 37/50 [00:09<00:03,  4.09it/s]
 76%|███████▌  | 38/50 [00:09<00:02,  4.11it/s]
 78%|███████▊  | 39/50 [00:09<00:02,  4.10it/s]
 80%|████████  | 40/50 [00:09<00:02,  4.10it/s]
 82%|████████▏ | 41/50 [00:10<00:02,  4.10it/s]
 84%|████████▍ | 42/50 [00:10<00:01,  4.10it/s]
 86%|████████▌ | 43/50 [00:10<00:01,  4.09it/s]
 88%|████████▊ | 44/50 [00:10<00:01,  4.07it/s]
 90%|█████████ | 45/50 [00:11<00:01,  4.08it/s]
 92%|█████████▏| 46/50 [00:11<00:00,  4.09it/s]
 94%|█████████▍| 47/50 [00:11<00:00,  4.08it/s]
 96%|█████████▌| 48/50 [00:11<00:00,  4.07it/s]
 98%|█████████▊| 49/50 [00:11<00:00,  4.07it/s]
100%|██████████| 50/50 [00:12<00:00,  4.07it/s]
100%|██████████| 50/50 [00:12<00:00,  4.09it/s]

Version Details

Version ID: ee8da70c4e016d0524c2c8346a389b2480a7136d4f69ac24b1150cc59ea8e56c
Version Created: December 28, 2022

Run on Replicate →