artificialguybr/nebul.redmond 🔢📝❓✓ → 🖼️
About
Nebul.Redmond - Stable Diffusion SD XL Finetuned Model
Example Output
Prompt:
"masterpiece, high quality, ultra good, this is the good stuff, best prompt ever, portrait of a woman, freckles, ginger"
Output
Performance Metrics
11.19s
Prediction Time
260.10s
Total Time
All Input Parameters
{
"width": 1024,
"height": 1024,
"prompt": "masterpiece, high quality, ultra good, this is the good stuff, best prompt ever, portrait of a woman, freckles, ginger",
"scheduler": "K_EULER",
"num_outputs": 1,
"guidance_scale": 7.5,
"apply_watermark": true,
"negative_prompt": "long torso, tall, bad quality, worst quality, normal quality, elderly, old, granny, 3d, sfm, text, watermark, low-quality, signature, moiré pattern, downsampling, distorted, blurry, glossy, blur, jpeg artifacts, compression artifacts, poorly drawn, low-resolution, bad, distortion, twisted, excessive, exaggerated pose, exaggerated limbs, grainy, symmetrical, duplicate, error, pattern, beginner, pixelated, fake, hyper, glitch, overexposed, high-contrast, bad-contrast",
"num_inference_steps": 40
}
Input Parameters
- seed
- Random seed. Leave blank to randomize the seed
- width
- Width of output image
- height
- Height of output image
- prompt
- Input prompt
- scheduler
- scheduler
- num_outputs
- Number of images to output.
- guidance_scale
- Scale for classifier-free guidance
- apply_watermark
- Applies a watermark to enable determining if an image is generated in downstream applications. If you have other provisions for generating or deploying images safely, you can use this to disable watermarking.
- negative_prompt
- Input Negative Prompt
- num_inference_steps
- Number of denoising steps
- disable_safety_checker
- Disable safety checker for generated images. This feature is only available through the API. See [https://replicate.com/docs/how-does-replicate-work#safety](https://replicate.com/docs/how-does-replicate-work#safety)
Output Schema
Output
Example Execution Logs
Using seed: 8443097
The config attributes {'sigma_max': None, 'sigma_min': None, 'timestep_type': 'discrete'} were passed to EulerDiscreteScheduler, but are not expected and will be ignored. Please verify your scheduler_config.json configuration file.
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Version Details
- Version ID
1abd2490609ffab31652791c065fa2da180053b77fe0ed0e7e879460bf549d33- Version Created
- January 22, 2024