Moondream2 is a highly efficient open-source vision language model that combines powerful image understanding capabilities with a remarkably small footprint.

Run any LLM (Large Language Model) with fal, powered by OpenRouter.

Generate high quality music and sound effects using Stable Audio 2.5 from StabilityAI

Florence-2 is an advanced vision foundation model that uses a prompt-based approach to handle a wide range of vision and vision-language tasks

FFMPEG Utility for Audio Compression

Separates a song into downloadable audio stems, with available stem types and optional MIDI output determined by the selected separation model.

Generates vocal or instrumental tracks for an existing song or uploaded audio, with controls for track type, musical style, generation region, and optional vocal lyrics.

MoonDreamNext is a multimodal vision-language model for captioning, gaze detection, bbox detection, point detection, and more.

Florence-2 is an advanced vision foundation model that uses a prompt-based approach to handle a wide range of vision and vision-language tasks

Moondream 3 is a vision language model that brings frontier-level visual reasoning with native object detection, pointing, and OCR capabilities to real-world applications requiring fast, inexpensive inference at scale.

Audio separation with SAM Audio. Isolate any sound using natural language—professional-grade audio editing made simple for creators, researchers, and accessibility applications.

Seed 2.0 Mini is a high-performance multimodal model optimized for low latency and high concurrency. It supports text, image, and video input with 256K context and configurable thinking/reasoning modes.

Modify a portion of provided audio with lyrics and/or style using ACE-Step

Moondream2 is a highly efficient open-source vision language model that combines powerful image understanding capabilities with a remarkably small footprint.

Moondream 3 is a vision language model that brings frontier-level visual reasoning with native object detection, pointing, and OCR capabilities to real-world applications requiring fast, inexpensive inference at scale.

Remixes a generated song or uploaded audio with Mureka 9.5, using complete lyrics and a prompt that controls genre, mood, instrumentation, arrangement, and vocal gender. Accepts source audio from 10 to 480 seconds, including vocal-only, accompaniment-only, and instrumental tracks.

Creates a reusable custom voice from a short vocal recording and returns a voice identifier for supported generation workflows.

Stable Audio 3 Medium audio inpainting is a 1.4 billion parameter latent diffusion model that fills in or reworks selected segments of a stereo track guided by text prompts, supporting single- and multi-segment editing.

Extend the beginning or end of provided audio with lyrics and/or style using ACE-Step

Vision

Generate video prompts using a variety of techniques including camera direction, style, pacing, special effects and more.

Rewrites a selected time region of a generated song or uploaded audio using replacement lyrics.

Florence-2 is an advanced vision foundation model that uses a prompt-based approach to handle a wide range of vision and vision-language tasks

Stable Audio 3 Small SFX audio-to-audio is a 459 million parameter latent diffusion model that transforms input audio into new sound-effect variations guided by text prompts.