rinongal/stylegan-nada 🖼️📝❓✓ → 🖼️
About
StyleGAN-NADA: CLIP-Guided Domain Adaptation of Image Generators
Example Output
Output
[object Object]
Performance Metrics
8.00s
Total Time
All Input Parameters
{
"input": "https://replicate.delivery/mgxm/e348c7fa-341d-443a-b56c-67ba6a180d0b/emma.jpg",
"style_list": "joker,anime,modigliani",
"output_style": "all",
"video_format": "mp4",
"with_editing": true,
"generate_video": false
}
Input Parameters
- input (required)
- input image
- style_list
- Comma separated list of models to use. Only accepts models from the output_style list. Will only be used if the chosen output_style is list
- output_style
- Which output style do you want to use? Select 'all' to generate a collage.
- video_format
- Choose gif to display in browser, mp4 for a higher-quality downloadable video
- with_editing
- Apply latent space editing to the generated video
- generate_video
- Generate a video instead of an output image. If more than one style is used, will interpolate between styles.
Output Schema
Output
Example Execution Logs
Aligned image has shape: (256, 256)
Version Details
- Version ID
6b2af4ac56fa2384f8f86fc7620943d5fc7689dcbb6183733743a215296d0e30- Version Created
- September 29, 2022