Recently Added

Apply Gaussian or Kuwahara blur effects with adjustable radius and sigma parameters

pixverse/extend/fast

PixVerse Extend model is a video extending tool for your videos using with high-quality video extending techniques

pixverse/extend

PixVerse Extend model is a video extending tool for your videos using with high-quality video extending techniques

pixverse/lipsync

Generate realistic lipsync animations from audio using advanced algorithms for high-quality synchronization with PixVerse Lipsync model

Generate YouTube thumbnails with custom text

bria/video/background-removal

Automatically remove backgrounds from videos -perfect for creating clean, professional content without a green screen.

flux-kontext-trainer

LoRA trainer for FLUX.1 Kontext [dev]

Transform your character's hair into broccoli style while keeping the original characters likeness

Transform your photos into wojak style while keeping the original characters likeness

Transform your photos into cool plushies while keeping the original characters likeness

flux-kontext-lora/text-to-image

Super fast text-to-image endpoint for the FLUX.1 Kontext [dev] model with LoRA support, enabling rapid and high-quality image generation using pre-trained LoRA adaptations for personalization, specific styles, brand identities, and product-specific outputs.

flux-kontext-lora

Fast endpoint for the FLUX.1 Kontext [dev] model with LoRA support, enabling rapid and high-quality image editing using pre-trained LoRA adaptations for specific styles, brand identities, and product-specific outputs.

OmniGen is a unified image generation model that can generate a wide range of images from multi-modal prompts. It can be used for various tasks such as Image Editing, Personalized Image Generation, Virtual Try-On, Multi Person Generation and more!

FASHN v1.6 delivers precise virtual try-on capabilities, accurately rendering garment details like text and patterns at 864x1296 resolution from both on-model and flat-lay photo references.

MultiTalk model generates a talking avatar video from an image and text. Converts text to speech automatically, then generates the avatar speaking with lip-sync.

MultiTalk model generates a talking avatar video from an image and audio file. The avatar lip-syncs to the provided audio with natural facial expressions.

MultiTalk model generates a multi-person conversation video from an image and text inputs. Converts text to speech for each person, generating a realistic conversation scene.

MultiTalk model generates a multi-person conversation video from an image and audio files. Creates a realistic scene where multiple people speak in sequence.

A video understanding model to analyze video content and answer questions about what's happening in the video based on user prompts.

wan-vace-14b/reframe

VACE is a video generation model that uses a source image, mask, and video to create prompted videos with controllable sources.

wan-vace-14b/outpainting

VACE is a video generation model that uses a source image, mask, and video to create prompted videos with controllable sources.

wan-vace-14b/inpainting

VACE is a video generation model that uses a source image, mask, and video to create prompted videos with controllable sources.

wan-vace-14b/pose

VACE is a video generation model that uses a source image, mask, and video to create prompted videos with controllable sources.

wan-vace-14b/depth

VACE is a video generation model that uses a source image, mask, and video to create prompted videos with controllable sources.