LTX 2.3 Trainer (V2) - Audio-to-Audio
Train a LoRA that transforms one audio clip into another, learning a reference→target mapping from paired audio examples.
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Train a LoRA that transforms one audio clip into another, learning a reference→target mapping from paired audio examples.
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 expands the video frame outward, keeping an inner rectangle fixed and generating the surrounding region.
Train a LoRA that generates the lead-in to a video, extending a clip backward in time from its ending.
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 audio (foley / sound design) for a silent video, learning a soundtrack that matches the on-screen action.
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 learns a video-to-video transformation from paired before/after clips, steered at inference by a reference (control) video.
Fine-tune LTX 2.3 to animate a starting image — supply a still plus a prompt at inference and the model generates a video that begins from that frame.
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.
Kling 3.0 Turbo Standard is a fast, cost-efficient video generation model that turns text prompts directly into 720P video with native audio, optimized for rapid iteration and high-volume production
Generate high quality 1080p videos using Kling's Turbo 3.0 model, with improved lipsync and multishot generation capabilities.
Kling 3.0 Turbo Standard animates a first and last frame reference image into 720P video with native audio, delivering quick, affordable image-driven motion for fast turnaround
Generate high quality 1080p videos from images using Kling's Turbo 3.0 model, with improved lipsync and multishot generation capabilities.
Zonos2 is a text-to-speech model that clones a voice from a short sample and speaks naturally across many languages.
GLM-5.2 is Z-AI's latest flagship model for long-horizon tasks. It marks a substantial leap in long-horizon task capability over its predecessor GLM-5.1 and, for the first time, delivers that capability on…
Fusion turns your prompt into a small multi-model deliberation. A panel of expert models (see below) analyzes your prompt in parallel with web search and web fetch enabled, then a...
Rig one humanoid GLB and apply up to ten animation presets to the shared skeleton; returns animated GLB and FBX clips.
Pixelcut's Video Background Remover is an AI segmentation model that erases backgrounds frame by frame, with seamless temporal consistency.
Stable Audio 3 LoRA Trainer fine-tunes Stable Audio 3 base models on paired audio-caption datasets, producing compact LoRA weights that adapt generation toward a custom music style, sound palette, or domain.
Luma Ray 3.2 reframes an existing video into a new aspect ratio guided by a text prompt, preserving the original footage frame-for-frame while controlling resolution and outpainting the surrounding canvas.
MoonshotAI: Kimi K2.7 Code is a coding-focused model in Moonshot AI's Kimi K2 family, built to complete end-to-end programming tasks reliably over long contexts. It uses a native multimodal…