Model Card for Model ID
This model has been trained with negative and positive examples of proper image enhancement.
Model Details
Model Description
We use a prompt, input_image, output_image, score, justification of score, and label (positive or negative) to provide
the model with positive and negative examples of image enhancement.
Example of training data:
image/png
Developed by: [Ekenayy ]Funded by [optional]: [More Information Needed]Shared by [optional]: [More Information Needed]Model type: [More Information Needed]Language(s) (NLP): [More Information Needed]License: [More Information Needed]Finetuned from model [optional]: [https://huggingface.co/timbrooks/instruct-pix2pix ]
Model Sources [optional]
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Uses
Direct Use
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Out-of-Scope Use
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Bias, Risks, and Limitations
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Recommendations
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
How to Get Started with the Model
Use the code below to get started with the model.
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Training Details
Training Data
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Training Procedure
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Training Hyperparameters
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Evaluation
Testing Data, Factors & Metrics
Testing Data
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Factors
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Metrics
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Results
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Summary
Model Examination [optional]
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Environmental Impact
Carbon emissions can be estimated using the
Machine Learning Impact calculator presented in
Lacoste et al. (2019) .
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Technical Specifications [optional]
Model Architecture and Objective
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Hardware
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Software
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