---
tags:
- text-to-image
library_name: generic
---

# Text To Image repository template

This is a template repository for text to image to support generic inference with Hugging Face Hub generic Inference API. There are two required steps
1. Specify the requirements by defining a `requirements.txt` file.
2. Implement the `pipeline.py` `__init__` and `__call__` methods. These methods are called by the Inference API. The `__init__` method should load the model and preload all the elements needed for inference (model, processors, tokenizers, etc.). This is only called once. The `__call__` method performs the actual inference. Make sure to follow the same input/output specifications defined in the template for the pipeline to work.

Example repos
* https://huggingface.co/osanseviero/BigGAN-deep-128/blob/main/pipeline.py

## How to start
First create a repo in https://hf.co/new. 
Then clone this template and push it to your repo.
```
git clone https://huggingface.co/templates/text-to-image
cd text-to-image
git remote set-url origin https://huggingface.co/Nymbo/Model_Repo_Template
git push --force
```

---
# For reference on model card metadata, see the spec: https://github.com/huggingface/hub-docs/blob/main/modelcard.md?plain=1
# Doc / guide: https://huggingface.co/docs/hub/model-cards
{{ card_data }}
---

# Model Card for {{ model_id | default("Model ID", true) }}

<!-- Provide a quick summary of what the model is/does. -->

{{ model_summary | default("", true) }}

## Model Details

### Model Description

<!-- Provide a longer summary of what this model is. -->

{{ model_description | default("", true) }}

- **Developed by:** {{ developers | default("[More Information Needed]", true)}}
- **Funded by [optional]:** {{ funded_by | default("[More Information Needed]", true)}}
- **Shared by [optional]:** {{ shared_by | default("[More Information Needed]", true)}}
- **Model type:** {{ model_type | default("[More Information Needed]", true)}}
- **Language(s) (NLP):** {{ language | default("[More Information Needed]", true)}}
- **License:** {{ license | default("[More Information Needed]", true)}}
- **Finetuned from model [optional]:** {{ base_model | default("[More Information Needed]", true)}}

### Model Sources [optional]

<!-- Provide the basic links for the model. -->

- **Repository:** {{ repo | default("[More Information Needed]", true)}}
- **Paper [optional]:** {{ paper | default("[More Information Needed]", true)}}
- **Demo [optional]:** {{ demo | default("[More Information Needed]", true)}}

## 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. -->

{{ direct_use | default("[More Information Needed]", true)}}

### Downstream Use [optional]

<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->

{{ downstream_use | default("[More Information Needed]", true)}}

### Out-of-Scope Use

<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->

{{ out_of_scope_use | default("[More Information Needed]", true)}}

## Bias, Risks, and Limitations

<!-- This section is meant to convey both technical and sociotechnical limitations. -->

{{ bias_risks_limitations | default("[More Information Needed]", true)}}

### Recommendations

<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->

{{ bias_recommendations | default("Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.", true)}}

## How to Get Started with the Model

Use the code below to get started with the model.

{{ get_started_code | default("[More Information Needed]", true)}}

## 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. -->

{{ training_data | default("[More Information Needed]", true)}}

### 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]

{{ preprocessing | default("[More Information Needed]", true)}}


#### Training Hyperparameters

- **Training regime:** {{ training_regime | default("[More Information Needed]", true)}} <!--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. -->

{{ speeds_sizes_times | default("[More Information Needed]", true)}}

## 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. -->

{{ testing_data | default("[More Information Needed]", true)}}

#### Factors

<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->

{{ testing_factors | default("[More Information Needed]", true)}}

#### Metrics

<!-- These are the evaluation metrics being used, ideally with a description of why. -->

{{ testing_metrics | default("[More Information Needed]", true)}}

### Results

{{ results | default("[More Information Needed]", true)}}

#### Summary

{{ results_summary | default("", true) }}

## Model Examination [optional]

<!-- Relevant interpretability work for the model goes here -->

{{ model_examination | default("[More Information Needed]", true)}}

## 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:** {{ hardware_type | default("[More Information Needed]", true)}}
- **Hours used:** {{ hours_used | default("[More Information Needed]", true)}}
- **Cloud Provider:** {{ cloud_provider | default("[More Information Needed]", true)}}
- **Compute Region:** {{ cloud_region | default("[More Information Needed]", true)}}
- **Carbon Emitted:** {{ co2_emitted | default("[More Information Needed]", true)}}

## Technical Specifications [optional]

### Model Architecture and Objective

{{ model_specs | default("[More Information Needed]", true)}}

### Compute Infrastructure

{{ compute_infrastructure | default("[More Information Needed]", true)}}

#### Hardware

{{ hardware_requirements | default("[More Information Needed]", true)}}

#### Software

{{ software | default("[More Information Needed]", true)}}

## 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:**

{{ citation_bibtex | default("[More Information Needed]", true)}}

**APA:**

{{ citation_apa | default("[More Information Needed]", true)}}

## Glossary [optional]

<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->

{{ glossary | default("[More Information Needed]", true)}}

## More Information [optional]

{{ more_information | default("[More Information Needed]", true)}}

## Model Card Authors [optional]

{{ model_card_authors | default("[More Information Needed]", true)}}

## Model Card Contact

{{ model_card_contact | default("[More Information Needed]", true)}}