Rodrigo Braga Pinheiro's starred repositories
ComfyUI-3D-Pack
An extensive node suite that enables ComfyUI to process 3D inputs (Mesh & UV Texture, etc) using cutting edge algorithms (3DGS, NeRF, etc.)
ComfyUI-Flowty-TripoSR
TripoSR custom node for comfyui
comfyui_glslnodes
GLSL node for ComfyUI
ComfyUI_VisualStylePrompting
ComfyUI Version of "Visual Style Prompting with Swapping Self-Attention"
ComfyUI_ADV_CLIP_emb
ComfyUI node that let you pick the way in which prompt weights are interpreted
ComfyUI-sampler-lcm-alternative
ComfyUI Custom Sampler nodes that adds a new improved LCM sampler function
AnimateDiff
Official implementation of AnimateDiff.
AnimateLCM
AnimateLCM: Let's Accelerate the Video Generation within 4 Steps!
ComfyUI-AnimateDiff-Evolved
Improved AnimateDiff for ComfyUI and Advanced Sampling Support
ComfyUI-Advanced-ControlNet
ControlNet scheduling and masking nodes with sliding context support
comfyui-fitsize
A simple set of nodes for making an image fit within a bounding box in comfyui
Steerable-Motion
A ComfyUI node for driving videos using batches of images.
Unreal-StableDiffusionTools
Animate Unreal Engine scenes using Stable Diffusion
ComfyUI-Manager
ComfyUI-Manager is an extension designed to enhance the usability of ComfyUI. It offers management functions to install, remove, disable, and enable various custom nodes of ComfyUI. Furthermore, this extension provides a hub feature and convenience functions to access a wide range of information within ComfyUI.
gaussian-splatting
Original reference implementation of "3D Gaussian Splatting for Real-Time Radiance Field Rendering"
RayDiffusion
Code for "Cameras as Rays"
efficientvit
EfficientViT is a new family of vision models for efficient high-resolution vision.
awesome-segment-anything
Tracking and collecting papers/projects/others related to Segment Anything.
super-gradients
Easily train or fine-tune SOTA computer vision models with one open source training library. The home of Yolo-NAS.
segment-anything
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.