tstramer/midjourney-diffusion 🔢❓📝 → 🖼️
About
Example Output
Prompt:
"mdjrny-v4 style pharah from overwatch, character portrait, portrait, close up, concept art, intricate details, highly detailed, vintage sci - fi poster, retro future, in the style of chris foss, rodger dean, moebius, michael whelan, and gustave dore"
Output
Performance Metrics
8.93s
Prediction Time
158.72s
Total Time
All Input Parameters
{
"width": 512,
"height": 512,
"prompt": "mdjrny-v4 style pharah from overwatch, character portrait, portrait, close up, concept art, intricate details, highly detailed, vintage sci - fi poster, retro future, in the style of chris foss, rodger dean, moebius, michael whelan, and gustave dore",
"scheduler": "K-LMS",
"num_outputs": 1,
"guidance_scale": 7.5,
"prompt_strength": 0.8,
"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
- 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: 42974 0%| | 0/50 [00:00<?, ?it/s] 2%|▏ | 1/50 [00:02<01:44, 2.12s/it] 6%|▌ | 3/50 [00:02<00:28, 1.65it/s] 10%|█ | 5/50 [00:02<00:14, 3.02it/s] 14%|█▍ | 7/50 [00:02<00:09, 4.50it/s] 18%|█▊ | 9/50 [00:02<00:06, 6.02it/s] 22%|██▏ | 11/50 [00:02<00:05, 7.48it/s] 26%|██▌ | 13/50 [00:03<00:04, 8.83it/s] 30%|███ | 15/50 [00:03<00:03, 10.00it/s] 34%|███▍ | 17/50 [00:03<00:03, 10.95it/s] 38%|███▊ | 19/50 [00:03<00:02, 11.71it/s] 42%|████▏ | 21/50 [00:03<00:02, 12.28it/s] 46%|████▌ | 23/50 [00:03<00:02, 12.75it/s] 50%|█████ | 25/50 [00:03<00:01, 13.08it/s] 54%|█████▍ | 27/50 [00:04<00:01, 13.31it/s] 58%|█████▊ | 29/50 [00:04<00:01, 13.43it/s] 62%|██████▏ | 31/50 [00:04<00:01, 13.52it/s] 66%|██████▌ | 33/50 [00:04<00:01, 13.47it/s] 70%|███████ | 35/50 [00:04<00:01, 13.57it/s] 74%|███████▍ | 37/50 [00:04<00:00, 13.62it/s] 78%|███████▊ | 39/50 [00:04<00:00, 13.65it/s] 82%|████████▏ | 41/50 [00:05<00:00, 13.70it/s] 86%|████████▌ | 43/50 [00:05<00:00, 13.72it/s] 90%|█████████ | 45/50 [00:05<00:00, 13.75it/s] 94%|█████████▍| 47/50 [00:05<00:00, 13.55it/s] 98%|█████████▊| 49/50 [00:05<00:00, 13.55it/s] 100%|██████████| 50/50 [00:05<00:00, 8.77it/s]
Version Details
- Version ID
436b051ebd8f68d23e83d22de5e198e0995357afef113768c20f0b6fcef23c8b- Version Created
- January 4, 2023