Image Generation

Generate images using generate_media with mode="image". The system auto-selects the best backend based on available API keys.

Quick Start

# Simple text-to-image (auto-selects backend)
generate_media(prompt="A cat in space", mode="image")

# Specify backend and quality
generate_media(prompt="A logo for a coffee shop", mode="image",
               backend_type="openai", quality="high")

# Batch generation (parallel)
generate_media(prompts=["sunset over ocean", "mountain landscape", "city at night"],
               mode="image", max_concurrent=3)

Backend Comparison

Key Parameters

Image-to-Image Editing

Transform existing images by providing input_images:

generate_media(
    prompt="Make it look like a watercolor painting",
    mode="image",
    input_images=["photo.jpg"]
)

Supported backends for image-to-image: Google (Gemini), OpenAI, Grok. The system auto-selects if your current backend doesn't support it.

Multi-Turn Editing (Continuation)

Iteratively refine images using continue_from:

# First generation
result = generate_media(prompt="A logo for a coffee shop", mode="image")

# Refine using the continuation ID
result2 = generate_media(
    prompt="Make the text larger and add a cup icon",
    mode="image",
    continue_from=result["continuation_id"]
)

Each backend uses a different continuation mechanism:

• OpenAI: Passes previous_response_id (stateless)
• Google Gemini: In-memory chat store (LRU, 50 items)
• Grok: In-memory data URI store (LRU, 50 items)

Continuation only works for single image generation (not batch).

Google: Gemini vs Imagen

Google supports two API paths. Gemini (Nano Banana 2) is the default and recommended for most use cases. Imagen is only needed for advanced reference-image editing features.

• Gemini models (gemini-*): generate_content() — text-to-image, image editing via input_images, multi-turn continuation
• Imagen models (imagen-*): generate_images() / edit_image() — text-to-image with negative_prompt/seed/guidance_scale, plus style transfer, control editing, and subject consistency via reference images

For studio-quality precision and text rendering, use: model="gemini-3-pro-image-preview" (Pro-tier).

Need More Control?

• Per-backend sizes, quality options, and quirks: See references/backends.md
• Complete extra_params reference: See references/extra_params.md
• Advanced editing (inpainting, style transfer, control, subject): See references/editing.md