Image Generation

import openai

client = openai.OpenAI(
    api_key="your-api-key",
    base_url="https://ai.cyrionlabs.org/v1"
)

response = client.images.generate(
    model="dall-e-2",
    prompt="A serene landscape with mountains and a lake at sunset",
    n=1,
    size="1024x1024"
)

print(response.data[0].url)  # URL to the generated image

response = client.images.generate(
    model="dall-e-2",
    prompt="A nonprofit volunteer helping children in a community garden",
    n=4,  # Generate 4 variations
    size="1024x1024"
)

for i, image in enumerate(response.data):
    print(f"Image {i+1}: {image.url}")

response = client.images.generate(
    model="dall-e-2",
    prompt="A modern office space with plants and natural lighting",
    size="1024x1024"
)

response = client.images.generate(
    model="stable-diffusion-xl",
    prompt="An artistic painting of a forest in autumn colors",
    size="1024x1024"
)

response = client.images.generate(
    model="midjourney",
    prompt="A cinematic shot of a nonprofit team working together",
    size="1024x1024"
)

response = client.images.generate(
    model="dall-e-2",
    prompt="A logo design for a nonprofit organization",
    size="1024x1024"
)

response = client.images.generate(
    model="dall-e-2",
    prompt="A wide landscape showing a community garden",
    size="1792x1024"
)

response = client.images.generate(
    model="dall-e-2",
    prompt="A portrait of a volunteer helping others",
    size="1024x1792"
)

response = client.images.generate(
    model="dall-e-2",
    prompt="A professional headshot for a nonprofit executive",
    quality="standard"
)

response = client.images.generate(
    model="dall-e-2",
    prompt="A detailed illustration for a fundraising campaign",
    quality="hd"
)

response = client.images.generate(
    model="dall-e-2",
    prompt="A beautiful sunset over mountains",
    response_format="url"
)

image_url = response.data[0].url
print(f"Image URL: {image_url}")

response = client.images.generate(
    model="dall-e-2",
    prompt="A beautiful sunset over mountains",
    response_format="b64_json"
)

import base64
image_data = base64.b64decode(response.data[0].b64_json)

with open("generated_image.png", "wb") as f:
    f.write(image_data)

# Good: Specific and descriptive
prompt = "A diverse group of volunteers working together in a community garden, with bright sunlight, modern photography style"

# Avoid: Vague or unclear
prompt = "People helping"

# Include artistic style
prompt = "A watercolor painting of children playing in a park, soft colors, artistic style"

# Include photography style
prompt = "A professional photograph of a nonprofit team meeting, modern office, natural lighting"

# Specify camera angle
prompt = "A bird's eye view of a community event with many people gathered"

# Specify composition
prompt = "A close-up portrait of a volunteer with a warm smile, shallow depth of field"

# For realistic photos
response = client.images.generate(
    model="dall-e-2",
    prompt="A professional photograph of a nonprofit board meeting"
)

# For artistic illustrations
response = client.images.generate(
    model="midjourney",
    prompt="An artistic illustration of hope and community"
)

# Social media posts
response = client.images.generate(
    model="dall-e-2",
    prompt="An eye-catching social media graphic promoting volunteer opportunities, modern design, bright colors",
    size="1024x1024"
)

# Website banners
response = client.images.generate(
    model="dall-e-2",
    prompt="A wide banner image showing diverse volunteers working together, professional photography",
    size="1792x1024"
)

# Infographics
response = client.images.generate(
    model="dall-e-2",
    prompt="An educational infographic about climate change, clean design, easy to read",
    size="1024x1024"
)

# Presentation slides
response = client.images.generate(
    model="dall-e-2",
    prompt="A professional slide background for a nonprofit presentation, subtle design",
    size="1024x1024"
)

# Campaign imagery
response = client.images.generate(
    model="dall-e-2",
    prompt="An emotional image showing the impact of donations, heartwarming, professional photography",
    size="1024x1024"
)

# Event promotion
response = client.images.generate(
    model="dall-e-2",
    prompt="A festive fundraising gala, elegant atmosphere, professional event photography",
    size="1024x1024"
)

try:
    response = client.images.generate(
        model="dall-e-2",
        prompt="A beautiful landscape"
    )
except openai.ContentPolicyError:
    print("The prompt violates our content policy. Please revise.")
except openai.RateLimitError:
    print("Rate limit exceeded. Please wait before making more requests.")
except openai.APIError as e:
    print(f"API error: {e}")

response = client.images.generate(
    model="dall-e-2",
    prompt="A beautiful sunset"
)

# Access response data
print(response.created)  # Timestamp
print(response.data[0].url)  # Image URL
print(response.data[0].revised_prompt)  # AI-revised prompt (if any)

response = client.images.generate(
    model="dall-e-2",
    prompt="A modern, minimalist logo design for a youth mentoring nonprofit, clean lines, professional",
    size="1024x1024",
    quality="hd"
)

response = client.images.generate(
    model="dall-e-2",
    prompt="A diverse group of volunteers building homes for families in need, professional photography, natural lighting",
    size="1792x1024"
)

response = client.images.generate(
    model="midjourney",
    prompt="An educational illustration showing the water cycle, colorful, child-friendly, scientific accuracy",
    size="1024x1024"
)