ai-art-generator VS TTS

Compare ai-art-generator vs TTS and see what are their differences.

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ai-art-generator TTS
3 231
627 29,174
- 6.6%
0.0 9.5
about 1 year ago 12 days ago
Python Python
GNU General Public License v3.0 or later Mozilla Public 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.

TTS

Posts with mentions or reviews of TTS. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-03-28.

What are some alternatives?

When comparing ai-art-generator and TTS 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.

tortoise-tts - A multi-voice TTS system trained with an emphasis on quality

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

Real-Time-Voice-Cloning - Clone a voice in 5 seconds to generate arbitrary speech in real-time

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

silero-models - Silero Models: pre-trained speech-to-text, text-to-speech and text-enhancement models made embarrassingly simple

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

vosk-api - Offline speech recognition API for Android, iOS, Raspberry Pi and servers with Python, Java, C# and Node

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

text-generation-webui - A Gradio web UI for Large Language Models. Supports transformers, GPTQ, AWQ, EXL2, llama.cpp (GGUF), Llama models.

ReVersion - ReVersion: Diffusion-Based Relation Inversion from Images

piper - A fast, local neural text to speech system