cjwbw/magifactory-t-shirt-diffusion 🔢❓📝 → 🖼️
About
Generate t-shirt logos with stable-dfffusion

Example Output
Prompt:
"a symbol of a car (on a black background:1.2) as t-shirt logo in the style of <MAGIFACTORY> art"
Output

Performance Metrics
19.07s
Prediction Time
160.57s
Total Time
All Input Parameters
{ "width": "768", "height": "768", "prompt": "a symbol of a car (on a black background:1.2) as t-shirt logo in the style of <MAGIFACTORY> art", "scheduler": "DPMSolverMultistep", "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
- scheduler
- Choose a scheduler.
- num_outputs
- Number of images to output
- guidance_scale
- Scale for classifier-free guidance
- negative_prompt
- The prompt or prompts not to guide the image generation (what you do not want to see in the generation). Ignored when not using guidance.
- num_inference_steps
- Number of denoising steps
Output Schema
Output
Example Execution Logs
Using seed: 545 0%| | 0/50 [00:00<?, ?it/s] 2%|▏ | 1/50 [00:02<01:48, 2.22s/it] 4%|▍ | 2/50 [00:02<00:52, 1.09s/it] 6%|▌ | 3/50 [00:02<00:34, 1.37it/s] 8%|▊ | 4/50 [00:03<00:25, 1.78it/s] 10%|█ | 5/50 [00:03<00:21, 2.14it/s] 12%|█▏ | 6/50 [00:03<00:18, 2.43it/s] 14%|█▍ | 7/50 [00:04<00:16, 2.66it/s] 16%|█▌ | 8/50 [00:04<00:14, 2.84it/s] 18%|█▊ | 9/50 [00:04<00:13, 2.97it/s] 20%|██ | 10/50 [00:04<00:13, 3.07it/s] 22%|██▏ | 11/50 [00:05<00:12, 3.14it/s] 24%|██▍ | 12/50 [00:05<00:11, 3.19it/s] 26%|██▌ | 13/50 [00:05<00:11, 3.23it/s] 28%|██▊ | 14/50 [00:06<00:11, 3.25it/s] 30%|███ | 15/50 [00:06<00:10, 3.27it/s] 32%|███▏ | 16/50 [00:06<00:10, 3.29it/s] 34%|███▍ | 17/50 [00:07<00:10, 3.29it/s] 36%|███▌ | 18/50 [00:07<00:09, 3.30it/s] 38%|███▊ | 19/50 [00:07<00:09, 3.30it/s] 40%|████ | 20/50 [00:07<00:09, 3.31it/s] 42%|████▏ | 21/50 [00:08<00:08, 3.31it/s] 44%|████▍ | 22/50 [00:08<00:08, 3.31it/s] 46%|████▌ | 23/50 [00:08<00:08, 3.31it/s] 48%|████▊ | 24/50 [00:09<00:07, 3.31it/s] 50%|█████ | 25/50 [00:09<00:07, 3.31it/s] 52%|█████▏ | 26/50 [00:09<00:07, 3.32it/s] 54%|█████▍ | 27/50 [00:10<00:06, 3.32it/s] 56%|█████▌ | 28/50 [00:10<00:06, 3.32it/s] 58%|█████▊ | 29/50 [00:10<00:06, 3.32it/s] 60%|██████ | 30/50 [00:10<00:06, 3.31it/s] 62%|██████▏ | 31/50 [00:11<00:05, 3.31it/s] 64%|██████▍ | 32/50 [00:11<00:05, 3.31it/s] 66%|██████▌ | 33/50 [00:11<00:05, 3.31it/s] 68%|██████▊ | 34/50 [00:12<00:04, 3.31it/s] 70%|███████ | 35/50 [00:12<00:04, 3.31it/s] 72%|███████▏ | 36/50 [00:12<00:04, 3.31it/s] 74%|███████▍ | 37/50 [00:13<00:03, 3.31it/s] 76%|███████▌ | 38/50 [00:13<00:03, 3.31it/s] 78%|███████▊ | 39/50 [00:13<00:03, 3.31it/s] 80%|████████ | 40/50 [00:13<00:03, 3.31it/s] 82%|████████▏ | 41/50 [00:14<00:02, 3.31it/s] 84%|████████▍ | 42/50 [00:14<00:02, 3.31it/s] 86%|████████▌ | 43/50 [00:14<00:02, 3.31it/s] 88%|████████▊ | 44/50 [00:15<00:01, 3.32it/s] 90%|█████████ | 45/50 [00:15<00:01, 3.31it/s] 92%|█████████▏| 46/50 [00:15<00:01, 3.31it/s] 94%|█████████▍| 47/50 [00:16<00:00, 3.31it/s] 96%|█████████▌| 48/50 [00:16<00:00, 3.31it/s] 98%|█████████▊| 49/50 [00:16<00:00, 3.32it/s] 100%|██████████| 50/50 [00:17<00:00, 3.31it/s] 100%|██████████| 50/50 [00:17<00:00, 2.94it/s]
Version Details
- Version ID
8d24b92f902aef5df3133aa6fce518d1f86580e5cdf1adecc18693f1f3ba6bcb
- Version Created
- February 3, 2023