LTX 2.3 Trainer (V2) - Video Inpainting

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 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 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.

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

Train an IC-LoRA that regenerates only the masked region of a video, guided by the kept pixels and a separate reference/control video.

Train a LoRA that generates the video between keyframes — supply first/last (and optional middle) frames at inference and the model fills the in-between motion.

Train a LoRA that expands the video frame outward, keeping an inner rectangle fixed and generating the surrounding region.

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 regenerates only the masked region of a video, guided by both the kept pixels and a separate reference/control video.

Train styles, people and other subjects at blazing speeds.

Train a custom LoRA on your own images to teach Krea 2 a new subject, character, or style. Provide a set of training images (and an optional trigger word), and the trainer outputs LoRA weights you can use for inference with the Krea 2 LoRA endpoint.

FLUX LoRA training optimized for portrait generation, with bright highlights, excellent prompt following and highly detailed results.

Fine-tune FLUX 3 Image Klein with your own images to teach it a subject, a product or a style.

Train LoRAs on Z-Image Turbo, a super fast text-to-image model of 6B parameters developed by Tongyi-MAI.

Fine-tune FLUX.2 [dev] from Black Forest Labs with custom datasets. Create specialized LoRA adaptations for specific styles and domains.

Fine-tune FLUX.2 [dev] from Black Forest Labs with custom datasets. Create specialized LoRA adaptations for specific styles and domains.

Qwen Image 2512 LoRA training

Fast LoRA trainer for Z-Image-Turbo, a super fast text-to-image model of 6B parameters developed by Tongyi-MAI.

Fine-tune FLUX 3 Image Klein on before/after image pairs to teach it a custom edit, with up to 10 input images per pair.

Fine-tune FLUX.2 [klein] 9B from Black Forest Labs with custom datasets. Create specialized LoRA adaptations for specific editing tasks.

A blazing fast FLUX dev LoRA trainer for subjects and styles.