Update README.md

README.md

@@ -1,198 +1,52 @@
----
-library_name: diffusers
----
-
-# Model Card for Model ID
-
-<!-- Provide a quick summary of what the model is/does. -->
-
-
-
-## Model Details
-
-### Model Description
-
-<!-- Provide a longer summary of what this model is. -->
-
-This is the model card of a 🧨 diffusers model that has been pushed on the Hub. This model card has been automatically generated.
-
-- **Developed by:** [More Information Needed]
-- **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]:** [More Information Needed]
-
-### Model Sources [optional]
-
-<!-- Provide the basic links for the model. -->
-
-- **Repository:** [More Information Needed]
-- **Paper [optional]:** [More Information Needed]
-- **Demo [optional]:** [More Information Needed]
-
-## Uses
-
-<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
-
-### Direct Use
-
-<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
-
-[More Information Needed]
-
-### Downstream Use [optional]
-
-<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
-
-[More Information Needed]
-
-### Out-of-Scope Use
-
-<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
-
-[More Information Needed]
-
-## Bias, Risks, and Limitations
-
-<!-- This section is meant to convey both technical and sociotechnical limitations. -->
-
-[More Information Needed]
-
-### Recommendations
-
-<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
-
-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.
-
-[More Information Needed]
-
-## Training Details
-
-### Training Data
-
-<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
-
-[More Information Needed]
-
-### Training Procedure
-
-<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
-
-#### Preprocessing [optional]
-
-[More Information Needed]
-
-
-#### Training Hyperparameters
-
-- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
-
-#### Speeds, Sizes, Times [optional]
-
-<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
-
-[More Information Needed]
+Certainly! Below are two model card templates for your models: **Stable Diffusion Finetuned** and **PRNet 3D Face Reconstruction**. These model cards can be published on Hugging Face or similar platforms to provide useful information about each model, including usage, limitations, and training details.
 
-## Evaluation
-
-<!-- This section describes the evaluation protocols and provides the results. -->
-
-### Testing Data, Factors & Metrics
-
-#### Testing Data
-
-<!-- This should link to a Dataset Card if possible. -->
-
-[More Information Needed]
-
-#### Factors
-
-<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
-
-[More Information Needed]
-
-#### Metrics
-
-<!-- These are the evaluation metrics being used, ideally with a description of why. -->
-
-[More Information Needed]
-
-### Results
-
-[More Information Needed]
-
-#### Summary
-
-
-
-## Model Examination [optional]
-
-<!-- Relevant interpretability work for the model goes here -->
-
-[More Information Needed]
-
-## Environmental Impact
-
-<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
-
-Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
-
-- **Hardware Type:** [More Information Needed]
-- **Hours used:** [More Information Needed]
-- **Cloud Provider:** [More Information Needed]
-- **Compute Region:** [More Information Needed]
-- **Carbon Emitted:** [More Information Needed]
-
-## Technical Specifications [optional]
-
-### Model Architecture and Objective
-
-[More Information Needed]
-
-### Compute Infrastructure
-
-[More Information Needed]
-
-#### Hardware
-
-[More Information Needed]
-
-#### Software
-
-[More Information Needed]
-
-## Citation [optional]
-
-<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
-
-**BibTeX:**
-
-[More Information Needed]
-
-**APA:**
-
-[More Information Needed]
-
-## Glossary [optional]
-
-<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
-
-[More Information Needed]
-
-## More Information [optional]
-
-[More Information Needed]
-
-## Model Card Authors [optional]
-
-[More Information Needed]
-
-## Model Card Contact
+---
 
-[More Information Needed]
+### Model Card: **Stable Diffusion Finetuned**
+
+**Model Name**: `stable-diffusion-finetuned`
+
+#### Model Description:
+This is a fine-tuned version of the Stable Diffusion model, a state-of-the-art generative model capable of producing high-quality images from textual descriptions. The model has been fine-tuned on a custom dataset for improved performance in a specific domain.
+
+- **Architecture**: Stable Diffusion
+- **Base Model**: Stable Diffusion 1.x (before fine-tuning)
+- **Training Data**: Custom dataset of images and corresponding textual descriptions.
+- **Purpose**: This model is intended for generating images based on specific domain-related text descriptions (e.g., architecture, landscapes, characters).
+
+#### Model Details:
+- **Training**: Fine-tuned using Google Colab with the Stable Diffusion base model. The training used the free quota on Colab and was optimized for generating images based on domain-specific prompts.
+- **Optimizations**: The model was fine-tuned for a reduced number of epochs to prevent overfitting and to ensure generalizability across different prompts.
+
+#### Usage:
+This model is intended for generating images from text inputs. The quality of generated images may vary based on the input prompt and the specificity of the fine-tuning dataset.
+
+##### Example:
+```python
+from transformers import StableDiffusionPipeline
+
+pipe = StableDiffusionPipeline.from_pretrained("your-hf-username/stable-diffusion-finetuned")
+prompt = "A scenic view of mountains during sunset"
+image = pipe(prompt).images[0]
+image.show()
+```
+
+#### Intended Use:
+- **Domain-Specific Image Generation**: Designed to generate images for specific scenarios (e.g., concept art, landscape images, etc.).
+- **Text-to-Image**: Works by taking text prompts and producing visually coherent images.
+
+#### Limitations and Risks:
+- **Bias in Generation**: Since the model was fine-tuned on a specific dataset, it may produce biased outputs, and its applicability outside the fine-tuned domain may be limited.
+- **Sensitive Content**: The model may inadvertently generate inappropriate or unintended imagery depending on the prompt.
+- **Performance**: Since the model was trained on limited resources (free Colab), generation may not be as fast or optimized for large-scale use cases.
+
+#### How to Cite:
+If you use this model, please cite the original Stable Diffusion authors and mention that this version is fine-tuned for specific tasks:
+```
+@misc{stable-diffusion-finetuned,
+  title={Stable Diffusion Finetuned Model},
+  author={Mostafa Aly},
+  year={2024},
+  howpublished={\url{https://huggingface.co/your-hf-username/stable-diffusion-finetuned}},
+}
+```