yoadtew/test 🖼️🔢📝 → ❓
About

Example Output
Output
[object Object]
Performance Metrics
17.05s
Prediction Time
56.74s
Total Time
All Input Parameters
{ "image1": "https://replicate.delivery/mgxm/9dd73204-a0b0-408a-ac82-fe685e0831c6/woman2.jpg", "image2": "https://replicate.delivery/mgxm/e1fe8d27-eb1d-4b2c-8ee0-a34f9596ca7c/king2.jpg", "image3": "https://replicate.delivery/mgxm/8e8fd5f5-9fe6-4948-a0dd-00f6a3ba54ad/man2.jpg", "beam_size": 3, "cond_text": "Image of", "end_factors": 1.06, "ce_loss_scale": 0.2, "max_seq_lengths": 3 }
Input Parameters
- image1
- Final result will be: image1 + (image2 - image3)
- image2
- Final result will be: image1 + (image2 - image3)
- image3
- Final result will be: image1 + (image2 - image3)
- beam_size
- Number of beams to use
- cond_text
- conditional text
- end_factors
- Higher value for shorter captions
- ce_loss_scale
- Scale of cross-entropy loss with un-shifted language model
- max_seq_lengths
- Maximum number of tokens to generate
Output Schema
Example Execution Logs
07/02/2022 10:28:11 | [' a %% -3.1501348', ' the %% -3.1840558', ' Princess %% -3.9033256'] /root/.pyenv/versions/3.8.12/lib/python3.8/site-packages/torch/_tensor.py:575: UserWarning: floor_divide is deprecated, and will be removed in a future version of pytorch. It currently rounds toward 0 (like the 'trunc' function NOT 'floor'). This results in incorrect rounding for negative values. 07/02/2022 10:28:18 | [' the Queen %% -2.9489675', ' the queen %% -3.393786', ' a woman %% -3.476828'] To keep the current behavior, use torch.div(a, b, rounding_mode='trunc'), or for actual floor division, use torch.div(a, b, rounding_mode='floor'). (Triggered internally at /pytorch/aten/src/ATen/native/BinaryOps.cpp:467.) return torch.floor_divide(self, other) 07/02/2022 10:28:26 | [' the Queen. %% -2.5544732', ' the queen. %% -2.7696526', ' a woman. %% -2.799248']
Version Details
- Version ID
a315a926b5dbb1f1ef126a36469a283b587d84ba830127a3f23c185cd0a4918e
- Version Created
- February 7, 2022