openvino-ai-plugins-gimp
TornadoVM
| openvino-ai-plugins-gimp | TornadoVM | |
|---|---|---|
| 5 | 22 | |
| 380 | 1,127 | |
| 11.6% | 3.1% | |
| 8.8 | 9.9 | |
| 13 days ago | 1 day ago | |
| Python | Java | |
| Apache License 2.0 | Apache License 2.0 |
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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.
openvino-ai-plugins-gimp
- FLaNK Stack Weekly 19 Feb 2024
- FLaNK Stack 05 Feb 2024
- Intel slaps forehead, says I got it: AI PCs. Sell them AI PCs
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Has anyone tried training SD models on the A770?
Apparently, you still have to use OpenVino as a plugin in GIMP for access to Stable Diffusion with the ARC A770. https://github.com/intel/openvino-ai-plugins-gimp
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We really need an Automatic1111 Gimp extension
It seems that Intel already has something similar, a plugin for GIMP called openvino-ai-plugins-gimp. Stable diffusion included.
TornadoVM
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Intel Gaudi 3 AI Accelerator
You don't need to use C++ to interface with CUDA or even write it.
A while ago NVIDIA and the GraalVM team demoed grCUDA which makes it easy to share memory with CUDA kernels and invoke them from any managed language that runs on GraalVM (which includes JIT compiled Python). Because it's integrated with the compiler the invocation overhead is low:
https://developer.nvidia.com/blog/grcuda-a-polyglot-language...
And TornadoVM lets you write kernels in JVM langs that are compiled through to CUDA:
https://www.tornadovm.org
There are similar technologies for other languages/runtimes too. So I don't think that will cause NVIDIA to lose ground.
- Java VectorAPI compatiblity with TornadoVM GPU programming framework
- Java GPU pre/post processing with ONNX RT and TornadoVM
- FLaNK Stack 05 Feb 2024
- FLaNK 25 December 2023
- GPU Acceleration for Python, JavaScript, Ruby from Java with Truffle
- TornadoVM v1.0 Released
- TornadoVM 1.0
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From CPU to GPU and FPGAs: Supercharging Java Applications with TornadoVM [video]
Presented by Juan Fumero, PhD & Research Fellow (The University of Manchester, UK) during the JVM Language Summit 2023 (Santa Clara CA).
More information on TornadoVM can be found at https://www.tornadovm.org/
Tags: #Java #JVMLS #GPU #FPGA #OpenJDK #GraalVM #AI
What are some alternatives?
stable-gimpfusion - A Gimp plugin that brings StableDiffusion functionality through Automatic1111's API
Aparapi - The New Official Aparapi: a framework for executing native Java and Scala code on the GPU.
axodox-machinelearning - This repository contains a pure C++ ONNX implementation of multiple offline AI models, such as StableDiffusion (1.5 and XL), ControlNet, Midas, HED and OpenPose.
openapi4j - OpenAPI 3 parser, JSON schema and request validator.
WhisperFusion - WhisperFusion builds upon the capabilities of WhisperLive and WhisperSpeech to provide a seamless conversations with an AI.
GraalVMREPL - REPL (read–eval–print loop) shell built on top of JavaFX and GraalVM stack, incorporating GraalJS, GraalPython, TruffleRuby and FastR
jepa - PyTorch code and models for V-JEPA self-supervised learning from video.
kattlo-cli - Kattlo CLI Project
ragas - Evaluation framework for your Retrieval Augmented Generation (RAG) pipelines
junodb - JunoDB is PayPal's home-grown secure, consistent and highly available key-value store providing low, single digit millisecond, latency at any scale.
onnxruntime - ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
jr - JR: streaming quality random data from the command line