sdxl-based/realistic-vision-hyper 🔢📝❓✓ → 🖼️
About
A fast high quality SD 1.5 model, Realistic Vision V6.0 B1 Hyper
Example Output
Prompt:
"portrait photo with neon green hair, motion blur, rapid movement"
Output
Performance Metrics
2.53s
Prediction Time
2.56s
Total Time
All Input Parameters
{
"width": 768,
"height": 768,
"prompt": "portrait photo with neon green hair, motion blur, rapid movement",
"output_format": "webp",
"output_quality": 80,
"negative_prompt": "",
"number_of_images": 1
}
Input Parameters
- seed
- Set a seed for reproducibility. Random by default.
- width
- height
- prompt
- output_format
- Format of the output images
- output_quality
- Quality of the output images, from 0 to 100. 100 is best quality, 0 is lowest quality.
- negative_prompt
- Things you do not want to see in your image
- number_of_images
- Number of images to generate
- disable_safety_checker
- Disable safety checker for generated images.
Output Schema
Output
Example Execution Logs
Random seed set to: 2340238831
Running workflow
got prompt
Executing node 3, title: KSampler, class type: KSampler
0%| | 0/6 [00:00<?, ?it/s]
17%|█▋ | 1/6 [00:00<00:00, 5.84it/s]
33%|███▎ | 2/6 [00:00<00:00, 5.72it/s]
50%|█████ | 3/6 [00:00<00:00, 5.72it/s]
67%|██████▋ | 4/6 [00:00<00:00, 5.55it/s]
83%|████████▎ | 5/6 [00:00<00:00, 5.63it/s]
100%|██████████| 6/6 [00:00<00:00, 6.20it/s]
Executing node 8, title: VAE Decode, class type: VAEDecode
Executing node 9, title: Save Image, class type: SaveImage
Prompt executed in 1.21 seconds
outputs: {'9': {'images': [{'filename': 'R8__00001_.png', 'subfolder': '', 'type': 'output'}]}}
====================================
R8__00001_.png
Version Details
- Version ID
9194e2f965e67804438b928bc616496ca61abdd9f3e66f1f23b4b5b81a83b4e7- Version Created
- June 4, 2024