stable-diffusion-webui-docker VS openvino

Compare stable-diffusion-webui-docker vs openvino and see what are their differences.

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stable-diffusion-webui-docker openvino
58 17
6,045 5,962
- 3.8%
6.3 10.0
8 days ago 4 days ago
Shell C++
GNU General Public License v3.0 or later Apache 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.

stable-diffusion-webui-docker

Posts with mentions or reviews of stable-diffusion-webui-docker. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-12-08.

openvino

Posts with mentions or reviews of openvino. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-02-05.

What are some alternatives?

When comparing stable-diffusion-webui-docker and openvino you can also consider the following projects:

stable-diffusion-webui - Stable Diffusion web UI

TensorRT - NVIDIA® TensorRT™ is an SDK for high-performance deep learning inference on NVIDIA GPUs. This repository contains the open source components of TensorRT.

lxc-gpu - Enjoy computation resources sharing at your laboratory with lxc-gpu!

deepsparse - Sparsity-aware deep learning inference runtime for CPUs

fast-stable-diffusion - fast-stable-diffusion + DreamBooth

mediapipe - Cross-platform, customizable ML solutions for live and streaming media.

diffusionbee-stable-diffusion-ui - Diffusion Bee is the easiest way to run Stable Diffusion locally on your M1 Mac. Comes with a one-click installer. No dependencies or technical knowledge needed.

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.

stable-diffusion-docker - Run the official Stable Diffusion releases in a Docker container with txt2img, img2img, depth2img, pix2pix, upscale4x, and inpaint.

neural-compressor - SOTA low-bit LLM quantization (INT8/FP8/INT4/FP4/NF4) & sparsity; leading model compression techniques on TensorFlow, PyTorch, and ONNX Runtime

rocm-gfx803

nebuly - The user analytics platform for LLMs