openvino-ai-plugins-gimp
openvino
| openvino-ai-plugins-gimp | openvino | |
|---|---|---|
| 5 | 17 | |
| 380 | 6,028 | |
| 11.6% | 4.9% | |
| 8.8 | 10.0 | |
| 13 days ago | 5 days ago | |
| Python | C++ | |
| Apache License 2.0 | Apache License 2.0 |
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.
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
-
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
-
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.
openvino
- FLaNK Stack 05 Feb 2024
- QUIK is a method for quantizing LLM post-training weights to 4 bit precision
- Intel OpenVINO 2023.1.0 released
- Intel OpenVINO 2023.1.0 released, open-source toolkit for optimizing and deploying AI inference
- OpenVINO 2023.1.0 released
- [N] Intel OpenVINO 2023.1.0 released, open-source toolkit for optimizing and deploying AI inference
-
Powering Anomaly Detection for Industry 4.0
Anomalib is an open-source deep learning library developed by Intel that makes it easy to benchmark different anomaly detection algorithms on both public and custom datasets, all by simply modifying a config file. As the largest public collection of anomaly detection algorithms and datasets, it has a strong focus on image-based anomaly detection. It’s a comprehensive, end-to-end solution that includes cutting-edge algorithms, relevant evaluation methods, prediction visualizations, hyperparameter optimization, and inference deployment code with Intel’s OpenVINO Toolkit.
What are some alternatives?
stable-gimpfusion - A Gimp plugin that brings StableDiffusion functionality through Automatic1111's API
TensorRT - NVIDIA® TensorRT™ is an SDK for high-performance deep learning inference on NVIDIA GPUs. This repository contains the open source components of TensorRT.
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.
deepsparse - Sparsity-aware deep learning inference runtime for CPUs
WhisperFusion - WhisperFusion builds upon the capabilities of WhisperLive and WhisperSpeech to provide a seamless conversations with an AI.
mediapipe - Cross-platform, customizable ML solutions for live and streaming media.
jepa - PyTorch code and models for V-JEPA self-supervised learning from video.
stable-diffusion - Go to lstein/stable-diffusion for all the best stuff and a stable release. This repository is my testing ground and it's very likely that I've done something that will break it.
ragas - Evaluation framework for your Retrieval Augmented Generation (RAG) pipelines
neural-compressor - SOTA low-bit LLM quantization (INT8/FP8/INT4/FP4/NF4) & sparsity; leading model compression techniques on TensorFlow, PyTorch, and ONNX Runtime
onnxruntime - ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
nebuly - The user analytics platform for LLMs