Diffusers
Text_to_Sketch / README.md
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---
datasets:
- raresense/txt_to_sketch
base_model:
- black-forest-labs/FLUX.1-dev
library_name: diffusers
---
<!-- Provide a quick summary of what the model is/does. -->
This model aims to help fashion designers to turn their imaginations of prints live through text.
### 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 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
## Hyperparameters and Input Prompt
**guidance_scale =** 7
**num_inference_steps =** 40
**Triggered Word =** [afashionsketch]
**Prompt:** [afashionsketch] Promt.
### 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
**Prompt:** [afashionsketch] woman wearing white jacket, yellow pants, and red heels.
![Results](https://media.discordapp.net/attachments/961218697094123561/1342340244715995136/70c0a190-fa10-4eed-9e50-39761652afdb_output_1.jpg?ex=67d10245&is=67cfb0c5&hm=d3a561e28f6858ef91e590ff52ff47b880584ef8432aa4937f281a4b1a92cee8&=&format=webp&width=698&height=930)
**Prompt:** [afashionsketch] Glamorous woman with an urban wear outfit composed of an oversized yellow bomber jacket, a draped blouse in flowing magenta silk, a tight knee-length skirt, lace-up shoes with heels.
![Results](https://media.discordapp.net/attachments/961218697094123561/1343018317383991369/f57de599-b4db-47c4-ba23-e3dc95335f92_output.jpg?ex=67d0d6c6&is=67cf8546&hm=c22dbab426989868eca8f7c527b88ee7ddcf751ecfe5f191bb034f481782d986&=&format=webp&width=555&height=740)
**Prompt:** [afashionsketch] a blue cocktail dress with a plunging neckline and a fitted bodice.
![Results](https://media.discordapp.net/attachments/1266294368265048147/1339911800048848907/image.png?ex=67d0be5b&is=67cf6cdb&hm=e38a7262a3e0edddc4b0f875382e4c5614c6045c31c74adc0e96a320c94524e2&=&format=webp&quality=lossless&width=555&height=740)
**Prompt:** [afashionsketch] A modern, minimalist power suit in a monochrome color palette. The outfit features sharp tailoring, an oversized blazer, wide-leg trousers, and subtle yet sophisticated details like geometric cutouts or asymmetric lapels.
![Results](https://media.discordapp.net/attachments/1266294368265048147/1339516221502263296/flux-lora.png?ex=67d09f72&is=67cf4df2&hm=a7ed5fca8dc9bd78d83c4e15b43a1ecc289f034a46d95a35af06a2850dc3367a&=&format=webp&quality=lossless&width=698&height=930)
#### 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]