2) what is inaccurate or missing from it?

3) To what extent does it represent ‘you’?

4) share what you mean by 'accurate' or 'inaccurate'

images = model.text_to_image(

"MA Level university digital art students working in happiness on art projects "

"they are creative and imaginative, working at their desks "

"details of the art studio and workshop materials "

"takes us to a world of creativity and joy",

batch_size=3,

)

end = time.time()

plot_images(images)

print(f"Default model: {(end - start):.2f} seconds")

Faces in the Wild:

https://drive.google.com/drive/folders/1WsByfHyz69_HSuaMjoewSH3uOq0P_JXB?usp=sharing

CelebA:

https://drive.google.com/drive/folders/1lQaKHmNjcn6HEhaAQQaOoKl5gcjnZKtH?usp=sharing

Mugshot:

https://drive.google.com/drive/folders/1MkmnBI7pfNlC3FzhJsXUigwWv2Ht4bOR?usp=sharing

Choose the “Tensorflow.js”, and then “Upload my model.”

This will upload the model files to Google Drive.

8 — Once the upload is complete, you’ll get shareable links for the model. Copy this. Make sure these files are publicly accessible when you want to use them in your p5.js project.

In the “Code snippet” section you’ll see prewritten code you can use in Javascript or directly in P5.js.

Click P5.js, then click “P5.js Web Editor”. This will bring you directly to a P5.js web editor page with your code!

9 — Finally you’ll need to swap out the “imageModelURL” with your own model (the one you copied in the last step). This example below is just a model I trained on “Class 1: thumbs up” and “Class 2: thumbs down”.

Teachable Machine and Ml5/Tensorflow.js (via processingp5)

Also node server process:

https://medium.spatialpixel.com/teachable-machine-tutorial-00437e01a793