Google Colaboratory on kenji.blog

How to draw graphs using Python (matplotlib.pyplot)

Sun, 09 Apr 2023 01:02:19 +0900

Requirements

Google Account

Steps

Access https://colab.research.google.com/
Select “File” -> “New notebook”
Paste and run the following code

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import matplotlib.pyplot as plt
import numpy as np
x = np.linspace(0, 2*np.pi, 500)
plt.plot(x, np.sin(x), label="sin curve")
plt.plot(x, np.cos(x), label="cos curve")
plt.legend() # Show legend
plt.show()

Execution Result

References

matplotlib.pyplot — Matplotlib 3.5.3 documentation

How to Tweet Using Twitter API and Google Colaboratory

Sat, 08 Apr 2023 18:48:32 +0900

Requirements

Twitter API
Twitter API SECRET
Twitter ACCESS TOKEN
Twitter ACCESS TOKEN SECRET
Google Account

For instructions on how to obtain the Twitter API, please refer to the reference sites.

Steps to Tweet using API

Access https://colab.research.google.com/
Select “File” -> “New notebook”
Paste and run the following code (use your own obtained values)

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API_KEY = '9Smu2f2RoLqbVQHQq6n79Z2JW'
API_SECRET = 'uGVRIkLL2l8sRyPv2Lr4mXxXppnQF1isMoRnvktcXCtFgAK2R8'
ACCESS_TOKEN = '0367292979164670705-7hSErDoQbO6fkFtnn5UY0vqpvecy0O'
ACCESS_TOKEN_SECRET = 'pUv81U9GVzZirz5g4AxZPHAJ4GpSXnBo8GUcZ1egtjw9q'

Paste and run the following code

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import tweepy

Paste and run the following code (API v1.1)

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auth = tweepy.OAuthHandler(API_KEY, API_SECRET)
auth.set_access_token(ACCESS_TOKEN, ACCESS_TOKEN_SECRET)
api = tweepy.API(auth)
api.update_status("hello")

→ A tweet saying hello will be posted

Paste and run the following code (API v2.0)

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client = tweepy.Client(consumer_key=API_KEY, consumer_secret=API_SECRET, access_token=ACCESS_TOKEN, access_token_secret=ACCESS_TOKEN_SECRET)
client.create_tweet(text='hello v2')

→ A tweet saying hello v2 will be posted

That’s all

References

How to generate illustration images using AI (Stable Diffusion)

Thu, 06 Apr 2023 00:43:19 +0900

What is Stable Diffusion?

Stable diffusion is an AI developed by a research team at the University of Munich in Germany that generates images from inputted text information. By training on various images, it is possible to generate a wide variety of images, from photorealistic ones to illustrations.

This time, I will introduce how to generate illustration images using the pre-trained data of Stable diffusion.

What you need

Google Account

That’s all.

Generation steps

Open https://colab.research.google.com
Select File on the top left and choose New notebook
Select Edit and choose Notebook settings
Change the Hardware accelerator to GPU
Paste and execute the following code

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!pip install diffusers==0.8.0 transformers

Paste and execute the following code

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from diffusers import StableDiffusionPipeline

Paste and execute the following code

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pipe = StableDiffusionPipeline.from_pretrained("gsdf/Counterfeit-V2.5")
pipe.to("cuda")

Paste and execute the following code

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prompt = "((masterpiece,best quality)),1girl, solo, animal ears, rabbit, barefoot, knees up, dress, sitting, rabbit ears, short sleeves, looking at viewer, grass, short hair, smile, white hair, puffy sleeves, outdoors, puffy short sleeves, bangs, on ground, full body, animal, white dress, sunlight, brown eyes, dappled sunlight, day, depth of field"
n_prompt = "EasyNegative, extra fingers,fewer fingers"

image = pipe(prompt, negative_prompt = n_prompt).images[0]
image

The Prompt used here is based on the Prompt at https://huggingface.co/gsdf/Counterfeit-V2.5.

Google Colaboratory on kenji.blog

How to draw graphs using Python (matplotlib.pyplot)

Requirements

Steps

Execution Result

References

How to Tweet Using Twitter API and Google Colaboratory

Requirements

Steps to Tweet using API

References

How to generate illustration images using AI (Stable Diffusion)

What is Stable Diffusion?

What you need

Generation steps

Generation results (some)

References