ai-art-generator VS Deep-Learning-With-TensorFlow

Compare ai-art-generator vs Deep-Learning-With-TensorFlow and see what are their differences.

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ai-art-generator Deep-Learning-With-TensorFlow
3 1
627 42
- -
0.0 4.2
about 1 year ago over 3 years ago
Python Jupyter Notebook
GNU General Public License v3.0 or later 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.
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.

ai-art-generator

Posts with mentions or reviews of ai-art-generator. We have used some of these posts to build our list of alternatives and similar projects.
  • Cheap setup to run SD?
    1 project | /r/StableDiffusion | 5 Sep 2022
    I have a github project that will help you set up large batches of prompts too.
  • Local AI art generation tool updated for Stable Diffusion
    1 project | /r/bigsleep | 22 Aug 2022
    Hey all, just a note that I've updated my AI-art generator to work with Stable Diffusion (both txt2img and imgtoimg)! If you have a decent GPU (8GB VRAM+, though more is better), you should be able to use Stable Diffusion on your local computer.
  • Tesla M40 24GB GPU: very poor machine-learning performance?
    1 project | /r/MLQuestions | 1 Jan 2022
    I'm a software engineer, but a complete machine-learning noob (not exactly a linux guru, either). I'm trying to use the GPU for VQGAN+CLIP image generation. Running on an RTX 3060, I get almost 4 iterations per second, so a 512x512 image takes about 2 minutes to create with default settings. Running on the Tesla M40, I get about 0.4 iterations per second (~22 minutes per 512x512 image at the same settings). A full order of magnitude slower! I'd read that older Tesla GPUs are some of the top value picks when it comes to ML applications, but obviously with this level of performance that isn't the case at all. I figure I must be going wrong somewhere.

Deep-Learning-With-TensorFlow

Posts with mentions or reviews of Deep-Learning-With-TensorFlow. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2020-12-12.

What are some alternatives?

When comparing ai-art-generator and Deep-Learning-With-TensorFlow you can also consider the following projects:

vqgan-clip-generator - Implements VQGAN+CLIP for image and video generation, and style transfers, based on text and image prompts. Emphasis on ease-of-use, documentation, and smooth video creation.

PConv-Keras - Unofficial implementation of "Image Inpainting for Irregular Holes Using Partial Convolutions". Try at: www.fixmyphoto.ai

Animender - An AI that recommends anime based on personal history.

Learning-Content - Resources for the study group in IIT Guwahati focused on learning Artificial Intelligence.

TensorFlow2.0_Notebooks - Implementation of a series of Neural Network architectures in TensorFow 2.0

docs - TensorFlow documentation

tensorflow-deep-learning - All course materials for the Zero to Mastery Deep Learning with TensorFlow course.

AI-Art-Generator - A program that can add an artistic touch to any image.

ReVersion - ReVersion: Diffusion-Based Relation Inversion from Images

AlgoBook - A beginner-friendly project to help you in open-source contributions. Data Structures & Algorithms in various programming languages Please leave a star ⭐ to support this project! ✨

TTS - πŸΈπŸ’¬ - a deep learning toolkit for Text-to-Speech, battle-tested in research and production

MachineLearning-QandAI-book - Machine Learning Q and AI book