Creates a reusable style from your reference images and returns a style ID you can pass to Recraft V4 Styles image and vector generation.

Choose the Nth image from an image URL list for workflows.

Train LTX-2.3 22B for custom styles and effects.

Generate profiles using 30-50 images of a subject with Phota.

LoRA trainer for FLUX.1 Kontext [dev]

Recraft V3 Create Style is capable of creating unique styles for Recraft V3 based on your images.

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

Train a MiniMax H3 LoRA with reference conditioning, so different modalities animate into video with audio; captions optional.

ffmpeg utility to interleave videos

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

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

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.

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.