> ## Documentation Index
> Fetch the complete documentation index at: https://docs.lumenfall.ai/llms.txt
> Use this file to discover all available pages before exploring further.
# Changelog
> Product updates and announcements
## Chrome extension
Generate and edit images directly in your browser with the [Lumenfall AI Image Studio](https://chromewebstore.google.com/detail/lumenfall-ai-image-studio/ebmnoplgfdpoidaaoombkjcmfbifapdj) Chrome extension. Open the side panel on any page to create images from text prompts, right-click any image on the web to edit it with Lumenfall, or extract page text to brainstorm contextual illustrations. All generated images are saved locally in a built-in gallery.
The extension is [open source](https://github.com/lumenfall-ai/lumenfall-chrome-extension) — clone it and build your own tools on top of the Lumenfall API.
See the [Chrome Extension integration guide](/integrations/chrome-extension) for setup and usage.
## Chat completions endpoint
You can now make LLM calls through Lumenfall using the [chat completions](/api-reference/chat/completions) endpoint — no need to sign up for a separate text provider or switch base URLs in your SDK. Modern media apps don't just generate images; they also need LLM calls for prompting, captioning, moderation, and orchestration. Now you can do it all from one platform.
Text completions are powered by [OpenRouter](https://openrouter.ai), so all hundreds of their models are available and all OpenRouter features are fully supported. Use models from OpenAI, Google, Anthropic, Meta, Mistral, and many more providers.
## Text-to-vector support
Lumenfall now supports text-to-vector (SVG) models. Generate scalable vector graphics through the same OpenAI-compatible API you already use for raster images. Models like [Recraft V4 SVG](https://lumenfall.ai/models/recraft-ai/recraft-v4-svg) can now return SVG output natively.
## Playground upgrade
The playground received a major upgrade with new generation controls, model management, and UI improvements.
* **Generation controls** — configure resolution (Standard / HD 2K / Ultra 4K), style, seed, and output format directly from the playground. The aspect ratio picker now honors defaults from loaded examples.
* **Model sets and inline editing** — curated preset model groups (e.g. "Top Models", "Speed Round") drive default panel selections, and clicking a panel's model name opens a searchable inline picker to swap models on the fly.
* **UX improvements** — better drag-and-drop with paste support and input image previews, responsive panel actions that collapse into a compact menu at narrow widths, and fixes for image downloads and clipboard copy.
## xAI provider
xAI is now available as a provider, bringing Grok Imagine models to Lumenfall.
See [providers](/providers) for the full list.
## Arena and Google Gemini API
### Image arena
Compare image generation models side-by-side with blind voting. See results on the community leaderboard.
Try it at [lumenfall.ai/arena](https://lumenfall.ai/arena) and [lumenfall.ai/leaderboard](https://lumenfall.ai/leaderboard).
### Google Gemini API provider
We now support Google's [Gemini API](https://ai.google.dev) as a provider, in addition to Vertex AI. This gives you more routing options for Google models like Gemini and Imagen. See [providers](/providers) for the full list.
## llms.py extension
Use Lumenfall image models inside [llms.py](https://llmspy.org/) - both the CLI and the web UI. Generate and edit images with any Lumenfall model in a single command.
See the [llms.py integration guide](/integrations/llmspy) for setup and usage.
## General availability
Lumenfall is now generally available. Access all top image and video generation models through a single, OpenAI-compatible API — including models from the Artificial Analysis [Text to Image](https://artificialanalysis.ai/image/leaderboard/text-to-image) and [Image Editing](https://artificialanalysis.ai/image/leaderboard/editing) leaderboards.
Each model is backed by multiple providers with automatic failover and zero markup on model costs.
Model features like requesting a specific output size or format are normalized across models and providers, so they always just work.
### OpenAI-compatible API
* Drop-in replacement for OpenAI's [image generation](/api-reference/images/generate) and [editing](/api-reference/images/edit) endpoints
* Works with [OpenAI SDKs](/client-libraries/openai-sdk) in Python, TypeScript, Go, C#, Java, and Ruby
* Also supports [Vercel AI SDK](/client-libraries/vercel-ai-sdk), [LiteLLM](/client-libraries/litellm), and [RubyLLM](/client-libraries/rubyllm)
### Multi-provider routing
* Seven [providers](/providers): Google Vertex AI, Google Gemini API, OpenAI, Replicate, fal.ai, Fireworks AI, and Runware
* [Automatic failover](/routing) when a provider doesn't respond or returns an error
* Force a specific provider by prefixing the model slug (e.g., `vertex/gemini-3-pro-image-preview`)
### Unified model behavior
* [Feature emulation](/unified-model-behavior) ensures all models behave consistently
* Request any size (e.g., "1920x1080") and we map it to each provider's and model's expected format
* Output format conversion (PNG, JPEG, WebP, AVIF) across all providers
* Get responses as URL or base64 (`response_format`), regardless of provider support
* Standardized error responses following OpenAI conventions
### Dashboard
* View all [requests](/requests) including error responses
* View available [models](/models) with pricing
### Billing
* [Usage-based pricing](/billing) with no subscriptions or commitments
* Prepaid credits with optional auto top-up
* [Dry run mode](/api-reference/cost-estimation) for cost estimation before generating