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.

Train a MiniMax H3 LoRA with first-frame conditioning, so a still image animates into video with audio; captions optional.

Creates a reusable style from your reference images for use with Recraft V4 Styles Pro generation

LoRA trainer for Qwen Image Edit 2509

Train a MiniMax H3 LoRA on your own captioned clips for pure text-to-video generation with matching audio.

Train a MiniMax H3 LoRA on first/last/both keyframe signatures, teaching it to generate video with audio that starts on one image and lands on another.

Continues existing song lyrics, accepting section labels alongside the supplied text and returning extended lyrics.

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

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.

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.