Alternatives and similar repositories for t2v-turbo

Users that are interested in t2v-turbo are comparing it to the libraries listed below

• mira-space / Mira
  ☆361Updated last year
• mihirp1998 / VADER
  Video Diffusion Alignment via Reward Gradients. We improve a variety of video diffusion models such as VideoCrafter, OpenSora, ModelScope…
  ☆304Updated 8 months ago
• aim-uofa / MovieDreamer
  [ICLR'25] MovieDreamer: Hierarchical Generation for Coherent Long Visual Sequences
  ☆317Updated last year
• AILab-CVC / FreeNoise
  [ICLR 2024] Code for FreeNoise based on VideoCrafter
  ☆420Updated 3 months ago
• YangLing0818 / VideoTetris
  [NeurIPS 2024] VideoTetris: Towards Compositional Text-To-Video Generation
  ☆228Updated last year
• Yuanshi9815 / Video-Infinity
  Video-Infinity generates long videos quickly using multiple GPUs without extra training.
  ☆187Updated last year
• TIGER-AI-Lab / ConsistI2V
  ConsistI2V: Enhancing Visual Consistency for Image-to-Video Generation [TMLR 2024]
  ☆255Updated last year
• YangLing0818 / IterComp
  [ICLR 2025] IterComp: Iterative Composition-Aware Feedback Learning from Model Gallery for Text-to-Image Generation
  ☆203Updated 9 months ago
• maxin-cn / Cinemo
  [CVPR 2025] Consistent and Controllable Image Animation with Motion Diffusion Models
  ☆292Updated 6 months ago
• LPengYang / MotionClone
  [ICLR 2025] Official implementation of MotionClone: Training-Free Motion Cloning for Controllable Video Generation
  ☆510Updated 5 months ago
• MC-E / ReVideo
  NeurIPS 2024
  ☆392Updated last year
• Vchitect / VideoBooth
  [CVPR2024] VideoBooth: Diffusion-based Video Generation with Image Prompts
  ☆306Updated last year
• AILab-CVC / CV-VAE
  [NeurIPS 2024] CV-VAE: A Compatible Video VAE for Latent Generative Video Models
  ☆284Updated last year
• MS-Diffusion / MS-Diffusion
  [ICLR 2025] Official implementation of MS-Diffusion: Multi-subject Zero-shot Image Personalization with Layout Guidance
  ☆300Updated 4 months ago
• VideoVerses / VideoTuna
  Let's finetune video generation models!
  ☆525Updated 2 months ago
• HL-hanlin / Ctrl-Adapter
  Official implementation of Ctrl-Adapter: An Efficient and Versatile Framework for Adapting Diverse Controls to Any Diffusion Model (ICLR …
  ☆463Updated 9 months ago
• jjihwan / FIFO-Diffusion_public
  Official implementation of FIFO-Diffusion: Generating Infinite Videos from Text without Training (NeurIPS 2024)
  ☆479Updated last year
• RockeyCoss / SPO
  [CVPR 2025] Aesthetic Post-Training Diffusion Models from Generic Preferences with Step-by-step Preference Optimization
  ☆259Updated 7 months ago
• PKU-YuanGroup / Open-Sora-Dataset
  ☆113Updated last year
• GongyeLiu / StyleCrafter
  [TOG 2024]StyleCrafter: Enhancing Stylized Text-to-Video Generation with Style Adapter
  ☆262Updated 7 months ago
• ali-vilab / Ranni
  ☆238Updated last year
• mira-space / MiraData
  Official repo for paper "MiraData: A Large-Scale Video Dataset with Long Durations and Structured Captions"
  ☆494Updated last year
• kousw / experimental-consistory
  ☆112Updated last year
• jeanne-wang / svd_keyframe_interpolation
  ☆291Updated last year
• G-U-N / Motion-I2V
  [SIGGRAPH 2024] Motion I2V: Consistent and Controllable Image-to-Video Generation with Explicit Motion Modeling
  ☆184Updated last year
• Vchitect / VEnhancer
  Official codes of VEnhancer: Generative Space-Time Enhancement for Video Generation
  ☆560Updated last year
• AlonzoLeeeooo / StableV2V
  The official implementation of the paper titled "StableV2V: Stablizing Shape Consistency in Video-to-Video Editing".
  ☆162Updated 11 months ago
• Huage001 / CLEAR
  [NeurIPS 2025] Official PyTorch implementation of paper "CLEAR: Conv-Like Linearization Revs Pre-Trained Diffusion Transformers Up".
  ☆212Updated 2 months ago
• mayuelala / FollowYourCanvas
  [AAAI 2025] Follow-Your-Canvas: This repo is the official implementation of "Follow-Your-Canvas: Higher-Resolution Video Outpainting with…
  ☆150Updated 3 months ago
• wenhao728 / awesome-diffusion-v2v
  Awesome diffusion Video-to-Video (V2V). A collection of paper on diffusion model-based video editing, aka. video-to-video (V2V) translati…
  ☆260Updated last week