Update README.md

README.md

@@ -87,29 +87,13 @@ Use the code below to get started with the model.
 ## Training Details
 
 ### Training Data
+We used these dataset to train the diffusion transformer:
 
-<!-- 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. -->
+- [CommonCatalog-cc-by](https://huggingface.co/datasets/common-canvas/commoncatalog-cc-by)
+- [Megalith-10M](https://huggingface.co/datasets/madebyollin/megalith-10m)
+- [Smithonian Open Access](https://huggingface.co/datasets/madebyollin/soa-full)
+- [ArtBench (CC-0 only) ](https://huggingface.co/datasets/alfredplpl/artbench-pd-256x256)
 
-[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]
 
 ## Environmental Impact
 
@@ -117,32 +101,30 @@ Use the code below to get started with the model.
 
 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]
+- **Hardware Type:** NVIDIA L4
+- **Hours used:** 20000
+- **Cloud Provider:** Google Cloud
+- **Compute Region:** Japan
+- **Carbon Emitted:** free
 
-## Technical Specifications [optional]
+## Technical Specifications
 
 ### Model Architecture and Objective
 
-[More Information Needed]
+[Pixart-Σ based architecture](https://github.com/PixArt-alpha/PixArt-sigma)
 
 ### Compute Infrastructure
 
-[More Information Needed]
+Google Cloud (Tokyo Region).
 
 #### Hardware
 
-[More Information Needed]
+We used NVIDIA L4x8 instance 4 nodes. (Total: L4x32)
 
 #### Software
 
-[More Information Needed]
-
-[More Information Needed]
+[Pixart-Σ based code](https://github.com/PixArt-alpha/PixArt-sigma)
 
 ## Model Card Contact
 
-[More Information Needed]
+[AI Picasso, Inc.](support@aipicasso.app)