mistake0316/style-transfer-clip 🔢📝🖼️✓ → ❓
About
Guide Style Transfer with CLIP loss
Example Output
Output
[object Object][object Object][object Object][object Object][object Object][object Object][object Object][object Object][object Object][object Object]
Performance Metrics
66.12s
Total Time
All Input Parameters
{
"lr": "0.01",
"text": "pancake",
"image": "https://replicate.delivery/mgxm/0f51aae9-ef91-4ee6-a83f-065abbb7a65c/doge.jpeg",
"resize_flag": true,
"optimize_steps": "100",
"output_aug_flag": true,
"output_aug_time": 32,
"center_crop_flag": true,
"display_every_step": "10",
"short_edge_target_len": "384"
}
Input Parameters
- lr
- text
- prompt text
- image
- input image
- resize_flag
- resize image or not
- optimize_steps
- total steps
- output_aug_flag
- augment before compute clip loss
- output_aug_time
- augment times if output_aug_flag is True
- center_crop_flag
- center crop content image or not
- display_every_step
- short_edge_target_len
- the short edge size if resize_flag is True
Output Schema
Example Execution Logs
loading content
pancake
tensor([[49406, 18723, 49407, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0]], device='cuda:0')
step : 0
loss : 0.7568359375
step : 10
loss : 0.6923828125
step : 20
loss : 0.66748046875
step : 30
loss : 0.6591796875
step : 40
loss : 0.65283203125
step : 50
loss : 0.6474609375
step : 60
loss : 0.6455078125
step : 70
loss : 0.64208984375
step : 80
loss : 0.640625
step : 90
loss : 0.6376953125
step : 99
loss : 0.63916015625
Version Details
- Version ID
4f26fddbeddab99fdbd1f4a38884f7f1fa70e015a89071583af82aec8d39b50a- Version Created
- November 25, 2021