Update README.md

README.md

@@ -20,7 +20,7 @@ base_model: CompVis/stable-diffusion-v1-4
 
 # Model Card for Renaissance Stable Diffusion
 
-<!-- Provide a quick summary of what the model is/does. [Optional] -->
+<!-- Provide a quick summary of what the model is/does. [] -->
 This is a Fine-tuned Stable Diffusion model on a custom dataset of {image, caption} pairs. This model has been built on top of the fine-tuning script provided by Hugging Face. This model uses the KerasCV implementation of stability.ai's text-to-image model. Unlike other open-source alternatives like Hugging Face's Diffusers, KerasCV offers advantages such as XLA compilation and mixed precision support, resulting in state-of-the-art generation speed. Fine-tuning the Stable Diffusion model for generating high-quality Renaissance-style portraits.
 
 
@@ -35,7 +35,6 @@ This is a Fine-tuned Stable Diffusion model on a custom dataset of {image, capti
   - [Model Description](#model-description)
 - [Uses](#uses)
   - [Direct Use](#direct-use)
-  - [Downstream Use [Optional]](#downstream-use-optional)
   - [Out-of-Scope Use](#out-of-scope-use)
 - [Bias, Risks, and Limitations](#bias-risks-and-limitations)
   - [Recommendations](#recommendations)
@@ -52,15 +51,15 @@ This is a Fine-tuned Stable Diffusion model on a custom dataset of {image, capti
   - [Results](#results)
 - [Model Examination](#model-examination)
 - [Environmental Impact](#environmental-impact)
-- [Technical Specifications [optional]](#technical-specifications-optional)
+- [Technical Specifications []](#technical-specifications-)
   - [Model Architecture and Objective](#model-architecture-and-objective)
   - [Compute Infrastructure](#compute-infrastructure)
     - [Hardware](#hardware)
     - [Software](#software)
 - [Citation](#citation)
-- [Glossary [optional]](#glossary-optional)
-- [More Information [optional]](#more-information-optional)
-- [Model Card Authors [optional]](#model-card-authors-optional)
+- [Glossary []](#glossary-)
+- [More Information []](#more-information-)
+- [Model Card Authors []](#model-card-authors-)
 - [Model Card Contact](#model-card-contact)
 - [How to Get Started with the Model](#how-to-get-started-with-the-model)
 
@@ -101,14 +100,6 @@ The model is intended for research purposes only. Possible research areas and ta
 
 Excluded uses are described below.
 
-
-## Downstream Use [Optional]
-
-<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
-<!-- If the user enters content, print that. If not, but they enter a task in the list, use that. If neither, say "more info needed." -->
- 
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 ## Out-of-Scope Use
 
 <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
@@ -131,7 +122,6 @@ Using the model to generate content that is cruel to individuals is a misuse of
 
 <!-- This section is meant to convey both technical and sociotechnical limitations. -->
 
-Significant research has explored bias and fairness issues with language models (see, e.g., [Sheng et al. (2021)](https://aclanthology.org/2021.acl-long.330.pdf) and [Bender et al. (2021)](https://dl.acm.org/doi/pdf/10.1145/3442188.3445922)). Predictions generated by the model may include disturbing and harmful stereotypes across protected classes; identity characteristics; and sensitive, social, and occupational groups.
 ## Limitations
 - The model does not achieve perfect photorealism
 - The model cannot render legible text
@@ -182,31 +172,6 @@ Batch: 1
 
 Learning rate: warmup to 0.0001 for 10,000 steps and then kept constant
  
-# Evaluation
-
-<!-- This section describes the evaluation protocols and provides the results. -->
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-## Testing Data, Factors & Metrics
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-### Testing Data
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-<!-- This should link to a Data Card if possible. -->
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-More information needed
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-### Factors
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-<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
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-More information needed
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-### Metrics
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-<!-- These are the evaluation metrics being used, ideally with a description of why. -->
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-More information needed
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 ## Results 
 
 Please Check out the Github Repo at https://github.com/martingasparyan/Fine-Tune-Stable-Diffusion/wiki
@@ -257,7 +222,7 @@ A100 PCIe 40/80GB
 
 Google Colab, Jupyter Lab
 
-# Model Card Authors [optional]
+# Model Card Authors []
 
 <!-- This section provides another layer of transparency and accountability. Whose views is this model card representing? How many voices were included in its construction? Etc. -->