pranavred/interior-test 🔢🖼️❓📝✓ → 🖼️
About
Example Output
Prompt:
"a photo of ixte with balloons, 4k, beautiful"
Output
Performance Metrics
13.58s
Prediction Time
346.84s
Total Time
All Input Parameters
{
"width": 512,
"height": 512,
"prompt": "a photo of ixte with balloons, 4k, beautiful",
"scheduler": "DDIM",
"num_outputs": 1,
"guidance_scale": 7.5,
"prompt_strength": 0.8,
"num_inference_steps": 50,
"disable_safety_check": false
}
Input Parameters
- seed
- Random seed. Leave blank to randomize the seed
- image
- A starting image from which to generate variations (aka 'img2img'). If this input is set, the `width` and `height` inputs are ignored and the output will have the same dimensions as the input image.
- 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
- disable_safety_check
- Disable safety check. Use at your own risk!
Output Schema
Output
Example Execution Logs
Using seed: 33957 using txt2img 0%| | 0/50 [00:00<?, ?it/s] 2%|▏ | 1/50 [00:01<01:27, 1.80s/it] 4%|▍ | 2/50 [00:01<00:40, 1.19it/s] 6%|▌ | 3/50 [00:02<00:25, 1.85it/s] 8%|▊ | 4/50 [00:02<00:18, 2.52it/s] 10%|█ | 5/50 [00:02<00:14, 3.15it/s] 12%|█▏ | 6/50 [00:02<00:11, 3.70it/s] 14%|█▍ | 7/50 [00:02<00:10, 4.13it/s] 16%|█▌ | 8/50 [00:03<00:09, 4.52it/s] 18%|█▊ | 9/50 [00:03<00:08, 4.81it/s] 20%|██ | 10/50 [00:03<00:07, 5.01it/s] 22%|██▏ | 11/50 [00:03<00:07, 5.15it/s] 24%|██▍ | 12/50 [00:03<00:07, 5.21it/s] 26%|██▌ | 13/50 [00:03<00:06, 5.29it/s] 28%|██▊ | 14/50 [00:04<00:06, 5.37it/s] 30%|███ | 15/50 [00:04<00:06, 5.43it/s] 32%|███▏ | 16/50 [00:04<00:06, 5.44it/s] 34%|███▍ | 17/50 [00:04<00:06, 5.44it/s] 36%|███▌ | 18/50 [00:04<00:05, 5.44it/s] 38%|███▊ | 19/50 [00:05<00:05, 5.47it/s] 40%|████ | 20/50 [00:05<00:05, 5.48it/s] 42%|████▏ | 21/50 [00:05<00:05, 5.49it/s] 44%|████▍ | 22/50 [00:05<00:05, 5.48it/s] 46%|████▌ | 23/50 [00:05<00:04, 5.44it/s] 48%|████▊ | 24/50 [00:05<00:04, 5.46it/s] 50%|█████ | 25/50 [00:06<00:04, 5.49it/s] 52%|█████▏ | 26/50 [00:06<00:04, 5.50it/s] 54%|█████▍ | 27/50 [00:06<00:04, 5.49it/s] 56%|█████▌ | 28/50 [00:06<00:04, 5.46it/s] 58%|█████▊ | 29/50 [00:06<00:03, 5.47it/s] 60%|██████ | 30/50 [00:07<00:03, 5.49it/s] 62%|██████▏ | 31/50 [00:07<00:03, 5.51it/s] 64%|██████▍ | 32/50 [00:07<00:03, 5.51it/s] 66%|██████▌ | 33/50 [00:07<00:03, 5.49it/s] 68%|██████▊ | 34/50 [00:07<00:02, 5.47it/s] 70%|███████ | 35/50 [00:07<00:02, 5.50it/s] 72%|███████▏ | 36/50 [00:08<00:02, 5.49it/s] 74%|███████▍ | 37/50 [00:08<00:02, 5.52it/s] 76%|███████▌ | 38/50 [00:08<00:02, 5.51it/s] 78%|███████▊ | 39/50 [00:08<00:01, 5.50it/s] 80%|████████ | 40/50 [00:08<00:01, 5.49it/s] 82%|████████▏ | 41/50 [00:09<00:01, 5.49it/s] 84%|████████▍ | 42/50 [00:09<00:01, 5.49it/s] 86%|████████▌ | 43/50 [00:09<00:01, 5.50it/s] 88%|████████▊ | 44/50 [00:09<00:01, 5.50it/s] 90%|█████████ | 45/50 [00:09<00:00, 5.49it/s] 92%|█████████▏| 46/50 [00:09<00:00, 5.48it/s] 94%|█████████▍| 47/50 [00:10<00:00, 5.47it/s] 96%|█████████▌| 48/50 [00:10<00:00, 5.48it/s] 98%|█████████▊| 49/50 [00:10<00:00, 5.48it/s] 100%|██████████| 50/50 [00:10<00:00, 5.48it/s] 100%|██████████| 50/50 [00:10<00:00, 4.67it/s]
Version Details
- Version ID
6d80d9862dc45349a5fd32d39bbb6b53487aedb89a3dc0284a57b4e5f3cb5602- Version Created
- August 11, 2023