Diffusers
Text_to_Print / README.md
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---
datasets:
- raresense/txt_to_prints
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
### 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:** abstract pattern with colorful hot air balloons floating among fluffy clouds and birds on a light blue sky.
![Results](https://media.discordapp.net/attachments/1260839576906235905/1348914788599857163/1740485690940__000003750_1.jpg?ex=67d1324b&is=67cfe0cb&hm=2803c76fc005aa166f9336d24b34cef352572585afb7d7f8d1b7aa3e6b85dc47&=&format=webp&width=740&height=740)
**Prompt:** botanical pattern featuring geometric shapes and abstract floral designs in shades of gold, navy, and cream.
![Results](https://media.discordapp.net/attachments/1260839576906235905/1348914788872228864/1740485715183__000003750_2.jpg?ex=67d1324b&is=67cfe0cb&hm=7a32f8c6e18deece5010530f911b4620dbd007e35fdae8a4500d91b06e14828c&=&format=webp&width=740&height=740)
**Prompt:** floral pattern showcasing peacocks with their feathers fanned out, surrounded by designs in teal and gold.
![Results](https://media.discordapp.net/attachments/1260839576906235905/1348914789191258123/1740485763662__000003750_4.jpg?ex=67d1324b&is=67cfe0cb&hm=22cb44d81155a867110bda20c087c7e950d12d33023225f9e8791c19940e2d48&=&format=webp&width=740&height=740)
**Prompt:** cute dog pattern
![Results](https://media.discordapp.net/attachments/1260839576906235905/1348914789530730537/1740485787903__000003750_5.jpg?ex=67d1324b&is=67cfe0cb&hm=40eda7e6bd094fc5d050aa009dab896624fa08e1ebbcc22f315b1129337a91fa&=&format=webp&width=740&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]