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Ai-art-generator Alternatives
Similar projects and alternatives to ai-art-generator
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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.
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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tensorflow-deep-learning
All course materials for the Zero to Mastery Deep Learning with TensorFlow course. (by mrdbourke)
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Deep-Learning-With-TensorFlow
All the resources and hands-on exercises for you to get started with Deep Learning in TensorFlow
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WorkOS
The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
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S2ML-Art-Generator
Discontinued 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)
NOTE:
The number of mentions on this list indicates mentions on common posts plus user suggested alternatives.
Hence, a higher number means a better ai-art-generator alternative or higher similarity.
ai-art-generator reviews and mentions
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.
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Cheap setup to run SD?
I have a github project that will help you set up large batches of prompts too.
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Local AI art generation tool updated for Stable Diffusion
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.
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Tesla M40 24GB GPU: very poor machine-learning performance?
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.
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A note from our sponsor - WorkOS
workos.com | 19 Apr 2024
Stats
Basic ai-art-generator repo stats
3
627
0.0
about 1 year ago
rbbrdckybk/ai-art-generator is an open source project licensed under GNU General Public License v3.0 or later which is an OSI approved license.
The primary programming language of ai-art-generator is Python.
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