tstramer/elden-ring-diffusion 🔢❓📝 → 🖼️
About
Example Output
Prompt:
"a magical prince with golden hair, elden ring style"
Output
Performance Metrics
17.49s
Prediction Time
163.09s
Total Time
All Input Parameters
{
"seed": 5,
"width": 512,
"height": 512,
"prompt": "a magical prince with golden hair, elden ring style",
"scheduler": "K-LMS",
"num_outputs": 1,
"guidance_scale": 7.5,
"prompt_strength": 0.8,
"num_inference_steps": "163"
}
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
- Specify things to not see in the output
- prompt_strength
- Prompt strength when using init image. 1.0 corresponds to full destruction of information in init image
- num_inference_steps
- Number of denoising steps
Output Schema
Output
Example Execution Logs
Using seed: 5 0%| | 0/163 [00:00<?, ?it/s] 1%| | 1/163 [00:02<06:10, 2.29s/it] 2%|▏ | 3/163 [00:02<01:44, 1.53it/s] 3%|▎ | 5/163 [00:02<00:56, 2.81it/s] 4%|▍ | 7/163 [00:02<00:37, 4.20it/s] 6%|▌ | 9/163 [00:02<00:27, 5.68it/s] 7%|▋ | 11/163 [00:03<00:21, 7.15it/s] 8%|▊ | 13/163 [00:03<00:17, 8.50it/s] 9%|▉ | 15/163 [00:03<00:15, 9.65it/s] 10%|█ | 17/163 [00:03<00:13, 10.63it/s] 12%|█▏ | 19/163 [00:03<00:12, 11.41it/s] 13%|█▎ | 21/163 [00:03<00:11, 11.94it/s] 14%|█▍ | 23/163 [00:03<00:11, 12.31it/s] 15%|█▌ | 25/163 [00:04<00:10, 12.67it/s] 17%|█▋ | 27/163 [00:04<00:10, 12.87it/s] 18%|█▊ | 29/163 [00:04<00:10, 13.10it/s] 19%|█▉ | 31/163 [00:04<00:09, 13.21it/s] 20%|██ | 33/163 [00:04<00:09, 13.22it/s] 21%|██▏ | 35/163 [00:04<00:09, 13.21it/s] 23%|██▎ | 37/163 [00:04<00:09, 13.22it/s] 24%|██▍ | 39/163 [00:05<00:09, 13.31it/s] 25%|██▌ | 41/163 [00:05<00:09, 13.42it/s] 26%|██▋ | 43/163 [00:05<00:08, 13.50it/s] 28%|██▊ | 45/163 [00:05<00:08, 13.60it/s] 29%|██▉ | 47/163 [00:05<00:08, 13.69it/s] 30%|███ | 49/163 [00:05<00:08, 13.60it/s] 31%|███▏ | 51/163 [00:06<00:08, 13.67it/s] 33%|███▎ | 53/163 [00:06<00:08, 13.73it/s] 34%|███▎ | 55/163 [00:06<00:07, 13.66it/s] 35%|███▍ | 57/163 [00:06<00:07, 13.66it/s] 36%|███▌ | 59/163 [00:06<00:07, 13.67it/s] 37%|███▋ | 61/163 [00:06<00:07, 13.56it/s] 39%|███▊ | 63/163 [00:06<00:07, 13.38it/s] 40%|███▉ | 65/163 [00:07<00:07, 13.48it/s] 41%|████ | 67/163 [00:07<00:07, 13.59it/s] 42%|████▏ | 69/163 [00:07<00:06, 13.69it/s] 44%|████▎ | 71/163 [00:07<00:06, 13.43it/s] 45%|████▍ | 73/163 [00:07<00:06, 13.28it/s] 46%|████▌ | 75/163 [00:07<00:06, 13.47it/s] 47%|████▋ | 77/163 [00:07<00:06, 13.48it/s] 48%|████▊ | 79/163 [00:08<00:06, 13.45it/s] 50%|████▉ | 81/163 [00:08<00:06, 13.48it/s] 51%|█████ | 83/163 [00:08<00:05, 13.40it/s] 52%|█████▏ | 85/163 [00:08<00:05, 13.47it/s] 53%|█████▎ | 87/163 [00:08<00:05, 13.47it/s] 55%|█████▍ | 89/163 [00:08<00:05, 13.36it/s] 56%|█████▌ | 91/163 [00:08<00:05, 13.25it/s] 57%|█████▋ | 93/163 [00:09<00:05, 13.38it/s] 58%|█████▊ | 95/163 [00:09<00:05, 13.42it/s] 60%|█████▉ | 97/163 [00:09<00:04, 13.49it/s] 61%|██████ | 99/163 [00:09<00:04, 13.52it/s] 62%|██████▏ | 101/163 [00:09<00:04, 13.55it/s] 63%|██████▎ | 103/163 [00:09<00:04, 13.47it/s] 64%|██████▍ | 105/163 [00:10<00:04, 13.31it/s] 66%|██████▌ | 107/163 [00:10<00:04, 13.42it/s] 67%|██████▋ | 109/163 [00:10<00:03, 13.51it/s] 68%|██████▊ | 111/163 [00:10<00:03, 13.52it/s] 69%|██████▉ | 113/163 [00:10<00:03, 13.58it/s] 71%|███████ | 115/163 [00:10<00:03, 13.66it/s] 72%|███████▏ | 117/163 [00:10<00:03, 13.68it/s] 73%|███████▎ | 119/163 [00:11<00:03, 13.36it/s] 74%|███████▍ | 121/163 [00:11<00:03, 12.99it/s] 75%|███████▌ | 123/163 [00:11<00:03, 13.21it/s] 77%|███████▋ | 125/163 [00:11<00:02, 13.39it/s] 78%|███████▊ | 127/163 [00:11<00:02, 13.49it/s] 79%|███████▉ | 129/163 [00:11<00:02, 13.58it/s] 80%|████████ | 131/163 [00:11<00:02, 13.62it/s] 82%|████████▏ | 133/163 [00:12<00:02, 13.42it/s] 83%|████████▎ | 135/163 [00:12<00:02, 13.54it/s] 84%|████████▍ | 137/163 [00:12<00:01, 13.67it/s] 85%|████████▌ | 139/163 [00:12<00:01, 13.66it/s] 87%|████████▋ | 141/163 [00:12<00:01, 13.70it/s] 88%|████████▊ | 143/163 [00:12<00:01, 13.71it/s] 89%|████████▉ | 145/163 [00:12<00:01, 13.70it/s] 90%|█████████ | 147/163 [00:13<00:01, 13.47it/s] 91%|█████████▏| 149/163 [00:13<00:01, 13.55it/s] 93%|█████████▎| 151/163 [00:13<00:00, 13.64it/s] 94%|█████████▍| 153/163 [00:13<00:00, 13.73it/s] 95%|█████████▌| 155/163 [00:13<00:00, 13.79it/s] 96%|█████████▋| 157/163 [00:13<00:00, 13.85it/s] 98%|█████████▊| 159/163 [00:13<00:00, 13.91it/s] 99%|█████████▉| 161/163 [00:14<00:00, 13.69it/s] 100%|██████████| 163/163 [00:14<00:00, 13.62it/s] 100%|██████████| 163/163 [00:14<00:00, 11.41it/s]
Version Details
- Version ID
03963421baa88bf6de8c30b357bf68b3964a56a9160a40a0448cd1d39607d836- Version Created
- January 4, 2023