Create README.md

README.md

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+---
+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]
+