Comments (3)
garretthoyos
commented on August 15, 2024
Very interesting
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metaphorz
commented on August 15, 2024
It is not a showstopper by any means, as the user can curate what is produced through more images. Some may find that the generated pseudo-text has an aesthetic appeal.
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borisdayma
commented on August 15, 2024
You are correct, watermarks most likely come from the dataset that we need to analyze.
It will be good to try to filter out these images if they don't represent a too high percentage of our data.
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Related Issues (20)
- Why we use diffusion for prior model HOT 1
- CuDNN library mismatch when running docker
- How to retrain(fine-tuned) custom datasets HOT 2
- A Question on The Carbon Footprint Estimation. HOT 2
- import error in inference pipeline notebook HOT 4
- Notebook failures on Windows using Docker HOT 3
- TypeError: _get_logits_warper() got an unexpected keyword argument 'top_k' HOT 5
- XlaRuntimeError: INTERNAL: RET_CHECK failure
- Inference Notebook Does Not Work HOT 9
- Tag the source HOT 1
- What is the BACKEND_SERVER address?
- Numpy issue in encode_dataset notebook
- How do I train all the parameters
- optax error when installing on Windows HOT 4
- Preview!
- Incompatible jax or jaxlib version in tools/inference/inference_pipeline.ipynb HOT 7
- Access codebook in the code
- error: metadata-generation-failed HOT 1
- The script inference_pipeline.ipynb not work! ImportError: cannot import name 'partitioning' HOT 1
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