ml-gmpi VS Clip-Forge

Compare ml-gmpi vs Clip-Forge and see what are their differences.

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ml-gmpi Clip-Forge
4 6
335 360
0.6% 0.0%
2.6 0.0
2 months ago over 1 year ago
Python Python
GNU General Public License v3.0 or later -
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

ml-gmpi

Posts with mentions or reviews of ml-gmpi. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-09-07.

Clip-Forge

Posts with mentions or reviews of Clip-Forge. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-09-29.

What are some alternatives?

When comparing ml-gmpi and Clip-Forge you can also consider the following projects:

text2mesh - 3D mesh stylization driven by a text input in PyTorch

text2voxels - Generate 3D voxels from text with AI

make-a-video-pytorch - Implementation of Make-A-Video, new SOTA text to video generator from Meta AI, in Pytorch

Text2LIVE - Official Pytorch Implementation for "Text2LIVE: Text-Driven Layered Image and Video Editing" (ECCV 2022 Oral)

eg3d

CenterSnap - Pytorch code for ICRA'22 paper: "Single-Shot Multi-Object 3D Shape Reconstruction and Categorical 6D Pose and Size Estimation"

rome - Realistic mesh-based avatars. ECCV 2022

NeROIC

DeepFaceLive - Real-time face swap for PC streaming or video calls

jukebox - Code for the paper "Jukebox: A Generative Model for Music"