GPT Image

from openai import OpenAI
import base64
import os

client = OpenAI(
    api_key="AIHUBMIX_API_KEY", # Replace with your AIHUBMIX Key "sk-***"
    base_url="https://aihubmix.com/v1"
)

prompt = """redesign poster of the movie [Black Swan], 3D cartoon, smooth render, bright tone, 2:3 portrait."""

result = client.images.generate(
    model="gpt-image-1",
    prompt=prompt,
    n=1, # Number of images to generate, maximum 10
    size="1024x1536", # 1024x1024 (square), 1536x1024 (3:2 landscape), 1024x1536 (2:3 portrait), auto (default) 
    quality="high", # high, medium, low, auto (default)
    moderation="low", # low, auto (default) - requires updated openai package 📍
    background="auto", # transparent, opaque, auto (default)
)

print(result.usage)

# Define file name prefix and save directory
output_dir = "." # You can specify another directory
file_prefix = "image_gen"

# Ensure output directory exists
os.makedirs(output_dir, exist_ok=True)

# Iterate through all returned image data
for i, image_data in enumerate(result.data):
    image_base64 = image_data.b64_json
    if image_base64: # Ensure b64_json is not empty
        image_bytes = base64.b64decode(image_base64)

        # --- Handle filename conflict logic ---
        current_index = i
        while True:
            # Create filename with incremental counter
            file_name = f"{file_prefix}_{current_index}.png"
            file_path = os.path.join(output_dir, file_name) # Build complete file path

            # Check if file exists
            if not os.path.exists(file_path):
                break # No filename conflict, exit loop

            # Filename conflict, increment counter
            current_index += 1

        # Save image to file using unique file_path
        with open(file_path, "wb") as f:
            f.write(image_bytes)
        print(f"Image saved to: {file_path}")
    else:
        print(f"Image data for index {i} is empty, skipping save.")

Usage(input_tokens=150, input_tokens_details=UsageInputTokensDetails(image_tokens=0, text_tokens=150), output_tokens=6240, total_tokens=6390)
Image saved to: ./image_gen_14.png

from openai import OpenAI

client = OpenAI(
    api_key="AIHUBMIX_API_KEY", # Your Key Here
    base_url="https://aihubmix.com/v1"
)

# Create a chat completion request
stream = client.chat.completions.create(
    model="gpt-4o-image-vip", #list: gpt-4o-image-vip, gpt-4o-image
    messages=[
        {
            "role": "user",
            "content": [
                {
                    "type": "text",
                    "text": """Redesign [Girl wearing a pearl earring] as an anime-style illustrated cover. Preserve original essence and composition. Render in refined Kyoto Anime-inspired style—soft brushwork, cinematic lighting, progressive depth. 
Format in AV cover layout: 
Japanese-English mixed typography, serif title with significant visual hierarchy - sense of design is the key.
Extract words tha conveys profound meanings as title, then creative slogan, the original name can be a smaller information ONLY if necessary.
Subtly embed watermark "jerlin" in clothing or background. Maintain emotional tone and posture, soften only when necessary. 2:3 portrait"""
                }
            ]
        }
    ],
    stream=True
)

# Process the streaming response
for chunk in stream:
    try:
        if chunk.choices and len(chunk.choices) > 0 and chunk.choices[0].delta and chunk.choices[0].delta.content:
            print(chunk.choices[0].delta.content, end="", flush=True)
    except Exception as e:
        print(f"\nError occurred while processing the response: {str(e)}")