zeke/dogbooth 🔢❓📝 → 🖼️
About
A DreamBooth model trained using GitHub Actions. Prompt identifier is `dgg`

Example Output
Prompt:
"dgg as a pixar character"
Output

Performance Metrics
20.00s
Prediction Time
20.04s
Total Time
All Input Parameters
{ "width": 512, "height": 512, "prompt": "dgg as a pixar character", "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
- num_inference_steps
- Number of denoising steps
Output Schema
Output
Example Execution Logs
Loading pipeline... Using seed: 9689 Global seed set to 9689 0%| | 0/50 [00:00<?, ?it/s] 2%|▏ | 1/50 [00:04<03:39, 4.49s/it] 4%|▍ | 2/50 [00:04<01:35, 2.00s/it] 6%|▌ | 3/50 [00:05<00:56, 1.20s/it] 8%|▊ | 4/50 [00:05<00:38, 1.21it/s] 10%|█ | 5/50 [00:05<00:28, 1.60it/s] 12%|█▏ | 6/50 [00:05<00:22, 2.00it/s] 14%|█▍ | 7/50 [00:06<00:18, 2.37it/s] 16%|█▌ | 8/50 [00:06<00:15, 2.71it/s] 18%|█▊ | 9/50 [00:06<00:13, 2.98it/s] 20%|██ | 10/50 [00:06<00:12, 3.21it/s] 22%|██▏ | 11/50 [00:07<00:11, 3.38it/s] 24%|██▍ | 12/50 [00:07<00:10, 3.52it/s] 26%|██▌ | 13/50 [00:07<00:10, 3.60it/s] 28%|██▊ | 14/50 [00:07<00:09, 3.67it/s] 30%|███ | 15/50 [00:08<00:09, 3.72it/s] 32%|███▏ | 16/50 [00:08<00:09, 3.77it/s] 34%|███▍ | 17/50 [00:08<00:08, 3.78it/s] 36%|███▌ | 18/50 [00:08<00:08, 3.80it/s] 38%|███▊ | 19/50 [00:09<00:08, 3.81it/s] 40%|████ | 20/50 [00:09<00:07, 3.83it/s] 42%|████▏ | 21/50 [00:09<00:07, 3.85it/s] 44%|████▍ | 22/50 [00:09<00:07, 3.84it/s] 46%|████▌ | 23/50 [00:10<00:07, 3.83it/s] 48%|████▊ | 24/50 [00:10<00:06, 3.84it/s] 50%|█████ | 25/50 [00:10<00:06, 3.84it/s] 52%|█████▏ | 26/50 [00:10<00:06, 3.85it/s] 54%|█████▍ | 27/50 [00:11<00:05, 3.85it/s] 56%|█████▌ | 28/50 [00:11<00:05, 3.85it/s] 58%|█████▊ | 29/50 [00:11<00:05, 3.84it/s] 60%|██████ | 30/50 [00:12<00:05, 3.83it/s] 62%|██████▏ | 31/50 [00:12<00:04, 3.84it/s] 64%|██████▍ | 32/50 [00:12<00:04, 3.84it/s] 66%|██████▌ | 33/50 [00:12<00:04, 3.85it/s] 68%|██████▊ | 34/50 [00:13<00:04, 3.84it/s] 70%|███████ | 35/50 [00:13<00:03, 3.84it/s] 72%|███████▏ | 36/50 [00:13<00:03, 3.84it/s] 74%|███████▍ | 37/50 [00:13<00:03, 3.84it/s] 76%|███████▌ | 38/50 [00:14<00:03, 3.84it/s] 78%|███████▊ | 39/50 [00:14<00:02, 3.84it/s] 80%|████████ | 40/50 [00:14<00:02, 3.85it/s] 82%|████████▏ | 41/50 [00:14<00:02, 3.83it/s] 84%|████████▍ | 42/50 [00:15<00:02, 3.83it/s] 86%|████████▌ | 43/50 [00:15<00:01, 3.83it/s] 88%|████████▊ | 44/50 [00:15<00:01, 3.84it/s] 90%|█████████ | 45/50 [00:15<00:01, 3.83it/s] 92%|█████████▏| 46/50 [00:16<00:01, 3.84it/s] 94%|█████████▍| 47/50 [00:16<00:00, 3.83it/s] 96%|█████████▌| 48/50 [00:16<00:00, 3.82it/s] 98%|█████████▊| 49/50 [00:16<00:00, 3.81it/s] 100%|██████████| 50/50 [00:17<00:00, 3.82it/s] 100%|██████████| 50/50 [00:17<00:00, 2.90it/s]
Version Details
- Version ID
953c494579f3431d54400dcba7ca590f20962e29eba9700fb6a2f0ece3d45b20
- Version Created
- December 1, 2022