ai-forever/kandinsky-2 🔢❓📝 → 🖼️
About
text2img model trained on LAION HighRes and fine-tuned on internal datasets
Example Output
Prompt:
"red cat, 4k photo"
Output
Performance Metrics
71.26s
Prediction Time
71.56s
Total Time
All Input Parameters
{
"prompt": "red cat, 4k photo",
"scheduler": "p_sampler",
"prior_steps": "5",
"guidance_scale": 4,
"prior_cf_scale": 4,
"num_inference_steps": 100
}
Input Parameters
- seed
- Random seed. Leave blank to randomize the seed
- width
- Choose width. Lower the setting if out of memory.
- height
- Choose height. Lower the setting if out of memory.
- prompt
- Input Prompt
- scheduler
- Choose a scheduler
- batch_size
- Choose batch size. Lower the setting if out of memory.
- prior_steps
- output_format
- Format of the output images
- guidance_scale
- Scale for classifier-free guidance
- output_quality
- Quality of the output images, from 0 to 100. 100 is best quality, 0 is lowest quality.
- prior_cf_scale
- num_inference_steps
- Number of denoising steps
Output Schema
Output
Example Execution Logs
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Version Details
- Version ID
3c6374e7a9a17e01afe306a5218cc67de55b19ea536466d6ea2602cfecea40a9- Version Created
- April 19, 2024