mrharispe/visual-library 🖼️🔢📝❓✓ → 🖼️
Performance
15.5sTypical run time
116Total runs
About
Example Output
Prompt:
"In the colors and style of TOK, a man is dancing"
Output
Performance Metrics
15.46s
Prediction Time
15.57s
Total Time
All Input Parameters
{
"width": 1024,
"height": 1024,
"prompt": "In the colors and style of TOK, a man is dancing",
"refine": "no_refiner",
"scheduler": "K_EULER",
"lora_scale": 0.7,
"num_outputs": 1,
"guidance_scale": 7.5,
"apply_watermark": true,
"high_noise_frac": 0.72,
"negative_prompt": "",
"prompt_strength": 0.7,
"num_inference_steps": 50
}
Input Parameters
- mask
- Input mask for inpaint mode. Black areas will be preserved, white areas will be inpainted.
- seed
- Random seed. Leave blank to randomize the seed
- image
- Input image for img2img or inpaint mode
- width
- Width of output image
- height
- Height of output image
- prompt
- Input prompt
- refine
- Which refine style to use
- scheduler
- scheduler
- lora_scale
- LoRA additive scale. Only applicable on trained models.
- num_outputs
- Number of images to output.
- refine_steps
- For base_image_refiner, the number of steps to refine, defaults to num_inference_steps
- 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.
- high_noise_frac
- For expert_ensemble_refiner, the fraction of noise to use
- negative_prompt
- Input Negative Prompt
- prompt_strength
- Prompt strength when using img2img / inpaint. 1.0 corresponds to full destruction of information in image
- replicate_weights
- Replicate LoRA weights to use. Leave blank to use the default weights.
- 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
Output Schema
Output
Version Details
- Version ID
5fe3b578e7f86102fba0e441f3d5690999b823962cdc5c5c1b2600feb6ba0a8c- Version Created
- October 10, 2023