Image Generation

curl https://api.compilelabs.com/v1/images/generations \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "black-forest-labs/flux-1-schnell",
    "prompt": "A futuristic cityscape at sunset"
  }'

curl https://api.compilelabs.com/v1/images/generations \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "black-forest-labs/flux-1-schnell",
    "prompt": "A serene mountain landscape with a lake",
    "size": "1024x1024"
  }'

import openai

client = openai.OpenAI(
    api_key="YOUR_API_KEY",
    base_url="https://api.compilelabs.com/v1"
)

response = client.images.generate(
    model="black-forest-labs/flux-1-schnell",
    prompt="A sleek modern laptop on a desk with natural lighting, minimalist style",
    n=1,
    size="1024x1024"
)

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

import openai
import base64
from pathlib import Path

client = openai.OpenAI(
    api_key="YOUR_API_KEY",
    base_url="https://api.compilelabs.com/v1"
)

response = client.images.generate(
    model="black-forest-labs/flux-1-schnell",
    prompt="A futuristic robot in a cyberpunk city",
    response_format="b64_json"
)

# Decode and save the image
image_data = base64.b64decode(response.data[0].b64_json)
Path("generated_image.png").write_bytes(image_data)
print("Image saved to generated_image.png")

response = client.images.generate(
    model="black-forest-labs/flux-1-schnell",
    prompt="Abstract art with vibrant colors",
    n=4,
    size="1024x1024"
)

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

# Flux 1 Schnell (fast, high-quality)
flux_response = client.images.generate(
    model="black-forest-labs/flux-1-schnell",
    prompt="A dragon flying over mountains"
)

# SDXL (detailed, artistic)
sdxl_response = client.images.generate(
    model="stability/sdxl",
    prompt="A portrait of a warrior in medieval armor"
)

# Imagen 4 Ultra (photorealistic)
imagen_response = client.images.generate(
    model="google/imagen-4-ultra",
    prompt="A professional product photo of a watch"
)

response = client.images.generate(
    model="black-forest-labs/flux-1-schnell",
    prompt="A peaceful garden with cherry blossoms, soft lighting, 4k quality",
    n=1,
    size="1792x1024",
    response_format="url"
)

prompts = [
    "A sunset over the ocean",
    "A mountain peak at dawn",
    "A city skyline at night",
    "A forest path in autumn"
]

images = []
for prompt in prompts:
    response = client.images.generate(
        model="black-forest-labs/flux-1-schnell",
        prompt=prompt,
        size="1024x1024"
    )
    images.append(response.data[0].url)

print(f"Generated {len(images)} images")

try:
    response = client.images.generate(
        model="black-forest-labs/flux-1-schnell",
        prompt="A beautiful landscape"
    )
    print(f"Image generated: {response.data[0].url}")
except openai.APIError as e:
    print(f"API error: {e}")
except openai.RateLimitError as e:
    print(f"Rate limit exceeded: {e}")