Recently Added

ltx23-trainer-v2/audio-extend-suffix

Train a LoRA that generates the lead-in to an audio clip, extending audio backward in time from its ending.

ltx23-trainer-v2/audio-extend-prefix

Train a LoRA that continues an audio clip forward in time, generating the audio that follows a short clean prefix.

ltx23-trainer-v2/a2v

Train a LoRA that generates video from a start image plus a conditioning audio track, producing motion that matches the sound.

ltx23-trainer-v2/a2a

Train a LoRA that transforms one audio clip into another, learning a reference→target mapping from paired audio examples.

ltx-2.3-quality/text-to-audio/lora

Text to Audio high-quality using LTX-2.3 with Lora

ltx-2.3-quality/text-to-audio

Text to Audio high-quality using LTX-2.3

ltx-2.3-quality/outpaint/lora

Outpaint high-quality video using LTX-2.3 with Lora

ltx-2.3-quality/outpaint

Outpaint high-quality video using LTX-2.3

kling-video/v3/turbo/standard/image-to-video

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

kling-video/v3/turbo/pro/text-to-video

Generate high quality 1080p videos using Kling's Turbo 3.0 model, with improved lipsync and multishot generation capabilities.

kling-video/v3/turbo/pro/image-to-video

Generate high quality 1080p videos from images using Kling's Turbo 3.0 model, with improved lipsync and multishot generation capabilities.

kling-video/v3/turbo/standard/text-to-video

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

Zonos2 is a text-to-speech model that clones a voice from a short sample and speaks naturally across many languages.

Meshy auto-rigs a humanoid 3D model fitting a skeleton and binding the mesh, then applies several motion presets from its animation library

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.

Pixelcut's Video Background Remover is an AI segmentation model that erases backgrounds frame by frame, with seamless temporal consistency.

ideogram/v4/tiling/lora

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/image-to-image/lora

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/tiling

Ideogram V4.0q Tiling generates seamless, edge-matching textures and patterns that repeat infinitely in any direction, ideal for backgrounds, surfaces, and wallpapers.

luma/agent/ray/v3.2/video-to-video

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.

luma/agent/ray/v3.2/reframe

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.

ideogram/v4/image-to-image

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.

bria/genfill/v2

The GenFill Route enables the generation of objects by prompt in a specific region of an image. You can define the area for object generation by using a mask that outlines the region where the object will be created. Our model is optimized to work seamlessly with blob-shaped masks.

Nemotron-ASR-Streaming is a multi lingual, streaming Automatic Speech Recognition (ASR) engineered to deliver high-quality multi lingual transcription across both low-latency streaming and high-throughput batch workloads.