---
datasets:
- raresense/Img_to_technical_flat
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 technical flat 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

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[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

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[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. -->

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### Results

![Results](https://media.discordapp.net/attachments/1260839576906235905/1348908686009045033/31.jpg?ex=67d12c9c&is=67cfdb1c&hm=a2dd8b5722098f8ccdd2ff050b38769bd7fbf146d26fdda0c181d390d5afd530&=&format=webp&width=1018&height=740)
![Results](https://media.discordapp.net/attachments/1260839576906235905/1348908686537658410/32.jpg?ex=67d12c9c&is=67cfdb1c&hm=31c521d4af33b76fbb848dcda374d8c2de6851442333023b8d72b68853c21f66&=&format=webp&width=1110&height=740)
![Results](https://media.discordapp.net/attachments/1260839576906235905/1348908686889713676/33.jpg?ex=67d12c9c&is=67cfdb1c&hm=59fd77c8e81ff313f0cabf85177a48c628b69d16f5f2d2036750771a601c170a&=&format=webp&width=1018&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

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#### Hardware

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#### Software

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## 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:**

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**APA:**

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## Glossary [optional]

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

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## More Information [optional]

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## Model Card Authors [optional]

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## Model Card Contact

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