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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.
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.
Luma Ray 3.2 re-renders an existing video into new cinematic motion guided by a text prompt, preserving the source's look and movement while controlling resolution, duration, and HDR.
Ideogram V4.0q Tiling LoRA produces seamless repeatable patterns guided by a custom-trained LoRA, locking a specific aesthetic or motif into tileable textures for cohesive, large-scale surface design.
Ideogram V4.0q Tiling generates seamless, edge-matching textures and patterns that repeat infinitely in any direction, ideal for backgrounds, surfaces, and wallpapers.
Ideogram V4.0q Image-to-Image LoRA applies a custom-trained LoRA on top of an input image, steering edits toward a specific style, subject, or brand identity while keeping the source composition intact.
Ideogram V4.0q Image-to-Image transforms an input image with a text prompt, restyling and reworking the composition while preserving its core structure for prompt-faithful, high-fidelity edits.
Train custom LoRAs for personalization, styles or other use cases on top of Ideogram V4.
Luma Uni-1 turns a text prompt into a single high-fidelity image, with control over aspect ratio and visual style, plus optional web-sourced and reference-image guidance for sharper grounding.
Luma Uni-1 Max Edit applies text-guided edits to a source image at maximum fidelity, holding the original structure while honoring reference images for precise, high-detail revisions.
Luma Uni-1 Max generates a single image at the model's highest fidelity, delivering richer detail and stronger prompt adherence than the base tier for hero-quality stills.
Luma Uni-1 Edit reworks a source image from a text instruction, preserving the original composition while applying style changes and following optional reference images to steer the result.
Luma Ray 3.2 animates a source image into cinematic motion guided by a text prompt, preserving the starting frame's look while controlling resolution, duration, and seamless looping.
Luma Ray 3.2 generates cinematic video from a text prompt, with control over resolution, duration, and seamless looping, plus reference images to lock in subject and style.