---
datasets:
- kakaobrain/coyo-700m
language:
- en
---


## Model Details

### Model Description

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



- **Developed by:** Baptiste Lemaire, Guillaume Thomas and Tom Dupuis from CEA-List
- **Model type:** Canny Edge Maps conditionned Diffusion model 
- **Language(s) (NLP):** English
- **License:** [More Information Needed]


## 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. -->
- Fast low resolution image generation
- Online data augmentation  

See our gradio app for more information : [UCDR-Net gradio](https://huggingface.co/spaces/Baptlem/UCDR-Net)


## Training Details
### Training Data

* [Coyo-700M](https://github.com/kakaobrain/coyo-dataset)
* [Bridge](https://sites.google.com/view/bridgedata)

### Training Procedure 


#### Preprocessing 

-Resize to 128 resolution
-Canny Edge Map


#### Training Hyperparameters and Speeds, Sizes, Times

See README.md file in model folders ({model}, not {model}_pt)


### Results

See [UCDR-Net gradio](https://huggingface.co/spaces/Baptlem/UCDR-Net)




## 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:** TPU v4
- **Cloud Provider:** Gcloud
- **Compute Region:** us-central2-b
- **Carbon Emitted:** [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]