S2ML-Art-Generator VS ai-art-generator

Compare S2ML-Art-Generator vs ai-art-generator and see what are their differences.

S2ML-Art-Generator

Multiple notebooks which allow the use of various machine learning methods to generate or modify multimedia content [Moved to: https://github.com/justin-bennington/S2ML-Generators] (by justin-bennington)
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S2ML-Art-Generator ai-art-generator
1 3
101 627
- -
7.3 0.0
over 2 years ago about 1 year ago
Jupyter Notebook Python
MIT License GNU General Public License v3.0 or later
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S2ML-Art-Generator

Posts with mentions or reviews of S2ML-Art-Generator. We have used some of these posts to build our list of alternatives and similar projects.

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.

What are some alternatives?

When comparing S2ML-Art-Generator and ai-art-generator you can also consider the following projects:

S2ML-Generators - Multiple notebooks which allow the use of various machine learning methods to generate or modify multimedia content

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.

ML-For-Beginners - 12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

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

ArtLine - A Deep Learning based project for creating line art portraits.

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

Disco_Diffusion_Local - Getting the latest versions of Disco Diffusion to work locally, instead of colab. Including how I run this on Windows, despite some Linux only dependencies ;)

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

doohickey - Doohickey is a stable diffusion tool for technical artists who want to stay up-to-date with the latest developments in the field.

Deep-Learning-With-TensorFlow - All the resources and hands-on exercises for you to get started with Deep Learning in TensorFlow

ReVersion - ReVersion: Diffusion-Based Relation Inversion from Images

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