---
datasets:
- raresense/Sketch_to_Img
base_model:
- black-forest-labs/FLUX.1-Fill-dev
library_name: diffusers
---


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

This model aims to help fashion designers turn their fashion images into fashion sketches. 

### Model Description

<!-- Provide a longer summary of what this model is. -->
- **Developed by:** AI Team at Rare Sense Inc
- **Model type:** Inpainting
- **Finetuned from model :** Flux Fill Dev

### Model Sources

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

- **Repository:** [More Information Needed]
- **Paper [optional]:** [More Information Needed]
- **Demo [optional]:** [More Information Needed]

## Uses

- Turns fashion sketches into realistic images

## Bias, Risks, and Limitations

- Sometimes might produce inaccurate results

[More Information Needed]

## 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]

## Evaluation

### 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

![Results](https://media.discordapp.net/attachments/1260839576906235905/1348895155389992970/image_31.webp?ex=67d12002&is=67cfce82&hm=d53b281c69f31523cc3688081c091f2298b819ffaf7702006e2d74bb1f93ffb4&=&format=webp&width=1480&height=740)
![Results](https://media.discordapp.net/attachments/1260839576906235905/1348895155758829628/image_33.webp?ex=67d12002&is=67cfce82&hm=283cbdb5619f96ed869f03c2b42babbd05215a0d008b25c91f5522a9e5a2d578&=&format=webp&width=1480&height=740)
![Results](https://media.discordapp.net/attachments/1260839576906235905/1348895156170129409/image_32.webp?ex=67d12002&is=67cfce82&hm=ccd6269f49081ab0029f3ccb6e9e194c004a4a4ceb532e8e60244b6f577d7c7e&=&format=webp&width=1480&height=740)
![Results](https://media.discordapp.net/attachments/961218697094123561/1346687844592390236/image_100.webp?ex=67d1014a&is=67cfafca&hm=0c46595796eda7054d0db81462e744d6eb65259061fc5c009d00a3143a6d2c34&=&format=webp&width=1110&height=740)
![Results](https://media.discordapp.net/attachments/961218697094123561/1346687847238864896/image_96.webp?ex=67d1014b&is=67cfafcb&hm=8fb7afcbe21539c5a871a1db68b7d0e8e5ffd43e82ab344a7c4d3cbeef7887c8&=&format=webp&width=1110&height=740)
![Results](https://media.discordapp.net/attachments/961218697094123561/1346687846546931732/image_97.webp?ex=67d1014a&is=67cfafca&hm=cb410e1077c8a86efe458e80e33909e2460070b66ed50d47973f8fa10606652a&=&format=webp&width=1110&height=740)
#### 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]