Convert speech in audio to text w/ `tiny`, `small`, `base`, and `large-v3` models
Powerful text-to-video model that generates high-quality videos up to 6 seconds at 15 FPS and 720p resolution from simple text prompt
🎨 AnimateDiff (w/ MotionLoRAs for Panning, Zooming, etc): Animate Your Personalized Text-to-Image Diffusion Models without Specific Tuning
Monster Labs' Controlnet QR Code Monster v2 For SD-1.5 on top of AnimateDiff Prompt Travel (Motion Module SD 1.5 v2)
🎨AnimateDiff Prompt Travel🧭 Seamlessly Navigate and Animate Between Text-to-Image Prompts for Dynamic Visual Narratives
Dkamacho’s Scene Assembler
AuraSR: GAN-based Super-Resolution for real-world
AuraSR v2: Second-gen GAN-based Super-Resolution for real-world applications
Blip 3 / XGen-MM, Answers questions about images ({blip3,xgen-mm}-phi3-mini-base-r-v1)
Upscale videos + images with BSRGAN
Age prediction using CLIP - Patched version of `https://replicate.com/andreasjansson/clip-age-predictor` that works with the new version of cog!
Create your own Realistic Voice Cloning (RVC v2) dataset using a YouTube link
Easily create video datasets with auto-captioning for Hunyuan-Video LoRA finetuning
Dia 1.6B by Nari Labs, Generates realistic dialogue audio from text, including non-verbal cues and voice cloning
✨DiffBIR: Towards Blind Image Restoration with Generative Diffusion Prior
🐲 DragGAN 🐉 - "Drag Your GAN: Interactive Point-based Manipulation on the Generative Image Manifold"
👗Bytedance's DreamO: unified image customization model (IP, ID, Style, Try-On, etc.)🧣
Transform your text into a beautiful two-tone color gradient that represents your emotions.
FILM: Frame Interpolation for Large Motion, In ECCV 2022.
FlashFace: Human Image Personalization with High-fidelity Identity Preservation
Surrealist digital art featuring whimsical, anthropomorphic characters with exaggerated textures and vibrant color blocking
This model is cold. You'll get a fast response if the model is warm and already running, and a slower response if the model is cold and starting up.