Midjourney vs Stable Diffusion comparison

import os
from openai import OpenAI

# Midjourney does not have a public API; usage is via Discord bot commands.
# Example Discord prompt for Midjourney:
# /imagine prompt "a futuristic cityscape at sunset, vibrant colors, detailed"

# Stable Diffusion example using a Python API wrapper (e.g., via DreamStudio API):
client = OpenAI(api_key=os.environ["OPENAI_API_KEY"])
response = client.chat.completions.create(
    model="gpt-4o",
    messages=[{"role": "user", "content": "Generate a prompt for Stable Diffusion: a futuristic cityscape at sunset, vibrant colors, detailed"}]
)
prompt = response.choices[0].message.content

# Then use the prompt with a Stable Diffusion API or local model
# Pseudocode:
# image = stable_diffusion.generate_image(prompt=prompt)
# image.save("cityscape.png")

import os
from openai import OpenAI

client = OpenAI(api_key=os.environ["OPENAI_API_KEY"])

# Example prompt generation for Stable Diffusion
response = client.chat.completions.create(
    model="gpt-4o",
    messages=[{"role": "user", "content": "Create a detailed prompt for Stable Diffusion to generate a futuristic cityscape at sunset with vibrant colors."}]
)
prompt = response.choices[0].message.content
print(prompt)

# Use this prompt with your Stable Diffusion setup or API
# e.g., stable_diffusion_api.generate_image(prompt=prompt)