A set of ComfyUI nodes providing additional control for the LTX Video model

OneTrainer is a one-stop solution for all your stable diffusion training needs.

CogVideoX-LoRAs is a centralized repository for all LoRA models created for CogVideoX, filling the gap for a unified sharing space. With the rising demand for customized video generation, this hub …

Code of Pyramidal Flow Matching for Efficient Video Generative Modeling

ComfyUI nodes to edit videos using Genmo Mochi

Keyframe Interpolation with CogvideoX

Official code for "F5-TTS: A Fairytaler that Fakes Fluent and Faithful Speech with Flow Matching"

Multi functional app to find duplicates, empty folders, similar images etc.

Workflow-to-APP、ScreenShare&FloatingVideo、GPT & 3D、SpeechRecognition&TTS

Nodes related to video workflows

LLM Agent Framework in ComfyUI includes Omost,GPT-sovits, ChatTTS,GOT-OCR2.0, and FLUX prompt nodes,access to Feishu,discord,and adapts to all llms with similar openai / aisuite interfaces, such as…

Flux diffusion model implementation using quantized fp8 matmul & remaining layers use faster half precision accumulate, which is ~2x faster on consumer devices.

The most powerful and modular diffusion model GUI, api and backend with a graph/nodes interface.

Mandelbulb3D

Official inference repo for FLUX.1 models

Florence-2

Bring portraits to life!

Unified Image and Video Saliency Modeling (ECCV 2020)

[CVPR 2022] Incremental Transformer Structure Enhanced Image Inpainting with Masking Positional Encoding

Full model implementation of CVPR 2020 paper, "Softmax Splatting for Video Frame Interpolation"

Python optical flow visualization following Baker et al. (ICCV 2007) as used by the MPI-Sintel challenge

Fast and memory-efficient exact attention

[CVPR 2024] MemFlow: Optical Flow Estimation and Prediction with Memory

Unofficial pytorch implementation of DDVM.

Video style transfer using feed-forward networks.

DepthFM: Fast Monocular Depth Estimation with Flow Matching

depth map computation

High-Resolution Image Synthesis with Latent Diffusion Models