Stable Audio 3 Small SFX Base audio-to-audio is the foundational 459 million parameter checkpoint that transforms input audio into new sound-effect variations guided by text prompts.

Stable Audio 3 Small Music Base audio inpainting is the foundational 459 million parameter checkpoint for editing or filling selected music segments guided by text prompts.

Stable Audio 3 Small Music Base audio outpainting is the foundational 459 million parameter checkpoint that extends music tracks via causal continuation guided by text prompts.

Train custom LoRAs for personalization, styles or other use cases on top of Ideogram V4.

Stable Audio 3 Small SFX audio inpainting is a 459 million parameter latent diffusion model that fills in or reworks selected segments of a sound-effect track guided by text prompts.

Train a LoRA that generates audio from a text prompt — the audio counterpart of text-to-video — learning a sound or style from your clips.

Fine-tune LTX 2.3 on your own clips to teach it a new subject, character, object, or visual style, then generate full videos from a text prompt.

Train a LoRA that learns a video-to-video transformation from paired before/after clips, steered at inference by a reference (control) video.

Stable Audio 3 Small SFX Base audio inpainting is the foundational 459 million parameter checkpoint for editing or filling selected sound-effect segments guided by text prompts.

Stable Audio 3 Small SFX Base audio outpainting is the foundational 459 million parameter checkpoint that extends sound-effect tracks via causal continuation guided by text prompts.

Stable Audio 3 Medium Base audio outpainting is the foundational 1.4 billion parameter checkpoint that extends existing stereo audio with causal continuation guided by text prompts.

Train an IC-LoRA that learns a video-to-video transformation from paired before/after clips, conditioned at inference on a reference (control) video.

Train a LoRA that regenerates a masked region of a video while keeping the rest unchanged, blending the new content with its surroundings.

Train a LoRA that transforms one audio clip into another, learning a reference→target mapping from paired audio examples.

Train a LoRA that generates video from a start image plus a conditioning audio track, producing motion that matches the sound.

Train a LoRA that continues an audio clip forward in time, generating the audio that follows a short clean prefix.

Train a LoRA that generates the lead-in to an audio clip, extending audio backward in time from its ending.

Train a LoRA that regenerates masked time spans of an audio clip while keeping the rest unchanged.

Train a LoRA for a joint audio+video transformation, conditioned on a reference clip (its video and audio) to produce a matching target clip.

Train a LoRA that regenerates a masked video region (guided by kept pixels and a video reference) while jointly generating audio from an audio reference.

Train a LoRA that continues a video forward in time — supply an opening clip at inference and the model generates what comes next.

Train a LoRA that generates the lead-in to a video, extending a clip backward in time from its ending.

Train an IC-LoRA that transforms one audio clip into another, conditioned at inference on a reference audio clip.

Train an IC-LoRA for a joint audio+video transformation, conditioned on a reference clip's video and audio to produce a matching target.