nicosuave/atmant 🔢❓📝 → 🖼️
About
Example Output
Prompt:
"an atm ant in the style of Andy Warhol"
Output
Performance Metrics
43.64s
Prediction Time
99.45s
Total Time
All Input Parameters
{
"width": 512,
"height": 512,
"prompt": "an atm ant in the style of Andy Warhol",
"num_outputs": 1,
"guidance_scale": 7.5,
"num_inference_steps": 50
}
Input Parameters
- seed
- Random seed. Leave blank to randomize the seed
- width
- Width of output image. Maximum size is 1024x768 or 768x1024 because of memory limits
- height
- Height of output image. Maximum size is 1024x768 or 768x1024 because of memory limits
- prompt
- Input prompt
- num_outputs
- Number of images to output
- guidance_scale
- Scale for classifier-free guidance
- negative_prompt
- The prompt NOT to guide the image generation. Ignored when not using guidance
- num_inference_steps
- Number of denoising steps
Output Schema
Output
Example Execution Logs
Loading pipeline... Using seed: 8546 Global seed set to 8546 0%| | 0/50 [00:00<?, ?it/s] 2%|▏ | 1/50 [00:17<14:23, 17.61s/it] 4%|▍ | 2/50 [00:17<05:54, 7.39s/it] 6%|▌ | 3/50 [00:18<03:13, 4.12s/it] 8%|▊ | 4/50 [00:18<01:58, 2.59s/it] 10%|█ | 5/50 [00:18<01:18, 1.74s/it] 12%|█▏ | 6/50 [00:18<00:53, 1.23s/it] 14%|█▍ | 7/50 [00:19<00:38, 1.11it/s] 16%|█▌ | 8/50 [00:19<00:28, 1.45it/s] 18%|█▊ | 9/50 [00:19<00:22, 1.83it/s] 20%|██ | 10/50 [00:19<00:18, 2.21it/s] 22%|██▏ | 11/50 [00:19<00:15, 2.60it/s] 24%|██▍ | 12/50 [00:20<00:12, 2.94it/s] 26%|██▌ | 13/50 [00:20<00:11, 3.26it/s] 28%|██▊ | 14/50 [00:20<00:10, 3.50it/s] 30%|███ | 15/50 [00:20<00:09, 3.69it/s] 32%|███▏ | 16/50 [00:21<00:08, 3.85it/s] 34%|███▍ | 17/50 [00:21<00:08, 3.95it/s] 36%|███▌ | 18/50 [00:21<00:07, 4.04it/s] 38%|███▊ | 19/50 [00:21<00:07, 4.10it/s] 40%|████ | 20/50 [00:22<00:07, 4.15it/s] 42%|████▏ | 21/50 [00:22<00:06, 4.18it/s] 44%|████▍ | 22/50 [00:22<00:06, 4.20it/s] 46%|████▌ | 23/50 [00:22<00:06, 4.23it/s] 48%|████▊ | 24/50 [00:23<00:06, 4.23it/s] 50%|█████ | 25/50 [00:23<00:05, 4.24it/s] 52%|█████▏ | 26/50 [00:23<00:05, 4.25it/s] 54%|█████▍ | 27/50 [00:23<00:05, 4.24it/s] 56%|█████▌ | 28/50 [00:23<00:05, 4.25it/s] 58%|█████▊ | 29/50 [00:24<00:04, 4.25it/s] 60%|██████ | 30/50 [00:24<00:04, 4.25it/s] 62%|██████▏ | 31/50 [00:24<00:04, 4.25it/s] 64%|██████▍ | 32/50 [00:24<00:04, 4.24it/s] 66%|██████▌ | 33/50 [00:25<00:04, 4.23it/s] 68%|██████▊ | 34/50 [00:25<00:03, 4.23it/s] 70%|███████ | 35/50 [00:25<00:03, 4.24it/s] 72%|███████▏ | 36/50 [00:25<00:03, 4.24it/s] 74%|███████▍ | 37/50 [00:26<00:03, 4.25it/s] 76%|███████▌ | 38/50 [00:26<00:02, 4.23it/s] 78%|███████▊ | 39/50 [00:26<00:02, 4.23it/s] 80%|████████ | 40/50 [00:26<00:02, 4.23it/s] 82%|████████▏ | 41/50 [00:27<00:02, 4.23it/s] 84%|████████▍ | 42/50 [00:27<00:01, 4.22it/s] 86%|████████▌ | 43/50 [00:27<00:01, 4.22it/s] 88%|████████▊ | 44/50 [00:27<00:01, 4.23it/s] 90%|█████████ | 45/50 [00:27<00:01, 4.22it/s] 92%|█████████▏| 46/50 [00:28<00:00, 4.21it/s] 94%|█████████▍| 47/50 [00:28<00:00, 4.23it/s] 96%|█████████▌| 48/50 [00:28<00:00, 4.22it/s] 98%|█████████▊| 49/50 [00:28<00:00, 4.22it/s] 100%|██████████| 50/50 [00:29<00:00, 4.23it/s] 100%|██████████| 50/50 [00:29<00:00, 1.72it/s]
Version Details
- Version ID
be87a4863e7bc98fe57330c207a2f0a2126523f15588b913985e4c4f85dddc45- Version Created
- December 16, 2022