txt2mask VS frame-interpolation

Compare txt2mask vs frame-interpolation and see what are their differences.

txt2mask

Automatically create masks for Stable Diffusion inpainting using natural language. (by ThereforeGames)
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txt2mask frame-interpolation
24 74
507 2,678
- 2.0%
2.6 0.0
over 1 year ago 8 days ago
Python Python
- Apache License 2.0
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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txt2mask

Posts with mentions or reviews of txt2mask. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-05-12.

frame-interpolation

Posts with mentions or reviews of frame-interpolation. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-07-11.

What are some alternatives?

When comparing txt2mask and frame-interpolation you can also consider the following projects:

sd-dynamic-prompts - A custom script for AUTOMATIC1111/stable-diffusion-webui to implement a tiny template language for random prompt generation

ebsynth - Fast Example-based Image Synthesis and Style Transfer

stable-diffusion-prompt-inpainting - This project helps you do prompt-based inpainting without having to paint the mask - using Stable Diffusion and Clipseg

AnimeInterp - The code for CVPR21 paper "Deep Animation Video Interpolation in the Wild"

ECCV2022-RIFE - ECCV2022 - Real-Time Intermediate Flow Estimation for Video Frame Interpolation

sd-webui-mov2mov - This is the Mov2mov plugin for Automatic1111/stable-diffusion-webui.

gif2gif - Automatic1111 Animated Image (input/output) Extension

VQGAN-CLIP-Video - Traditional deepdream with VQGAN+CLIP and optical flow. Ready to use in Google Colab.

stable-diffusion-webui - Stable Diffusion web UI

latent-diffusion - High-Resolution Image Synthesis with Latent Diffusion Models

clipseg - This repository contains the code of the CVPR 2022 paper "Image Segmentation Using Text and Image Prompts".

optical.flow.demo - A project that uses optical flow and machine learning to detect aimhacking in video clips.