eleazhong/strotss 🖼️🔢 → 🖼️
About
image to image style transfer using STROTSS loss
Example Output
Output
[object Object]
Performance Metrics
93.99s
Prediction Time
97.28s
Total Time
All Input Parameters
{
"style": "https://replicate.delivery/mgxm/9d51a899-ceac-4b05-98fb-10c6c356fa7e/margarita-aivazian-dh8.jpg",
"content": "https://replicate.delivery/mgxm/fb40f17f-0c54-4eb0-bab9-304f5c6f4439/aa.jpg",
"content_weight": "1.0"
}
Input Parameters
- style (required)
- style image
- content (required)
- content image
- content_weight
- how much the content is preserved (high->more close to original)
Output Schema
Output
Example Execution Logs
Transferring Style :) starting running the strotss algorithm Optimizing at resoluton [64, 60] /root/.pyenv/versions/3.7.12/lib/python3.7/site-packages/torch/nn/functional.py:718: UserWarning: Named tensors and all their associated APIs are an experimental feature and subject to change. Please do not use them for anything important until they are released as stable. (Triggered internally at /pytorch/c10/core/TensorImpl.h:1156.) return torch.max_pool2d(input, kernel_size, stride, padding, dilation, ceil_mode) Optimizing at resoluton [128, 121] Optimizing at resoluton [256, 242] Optimizing at resoluton [512, 485] Done in 93.776s
Version Details
- Version ID
0823798ef38918f7688f226ed756c2ebf3e96438f51f6be65c997191f29a4b58- Version Created
- October 7, 2022