The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning. Learn more →
X-stable-diffusion Alternatives
Similar projects and alternatives to x-stable-diffusion
-
-
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.
-
AITemplate
AITemplate is a Python framework which renders neural network into high performance CUDA/HIP C++ code. Specialized for FP16 TensorCore (NVIDIA GPU) and MatrixCore (AMD GPU) inference.
-
voltaML
⚡VoltaML is a lightweight library to convert and run your ML/DL deep learning models in high performance inference runtimes like TensorRT, TorchScript, ONNX and TVM.
-
infery-examples
Discontinued A collection of demo-apps and inference scripts for various deep learning frameworks using infery (Python).
-
sdui
Local ImGui UI for Stable Diffusion. Features embedded PNG metadata, Apple M1 fixes, result caching, img2img, and more! (by harskish)
-
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.
-
NOTE:
The number of mentions on this list indicates mentions on common posts plus user suggested alternatives.
Hence, a higher number means a better x-stable-diffusion alternative or higher similarity.
x-stable-diffusion reviews and mentions
Posts with mentions or reviews of x-stable-diffusion.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-11-21.
-
[D] Is there an affordable way to host a diffusers Stable Diffusion model publicly on the Internet for "real-time"-inference? (CPU or Serverless GPU?)
Cheapest would be to deploy it on your own using: https://github.com/stochasticai/x-stable-diffusion. Let me if you need more help on real-time inference.
-
[D]deploy stable diffusion
However, I suggest you "accelerate" your inference first. For example, you can use open-source inference engines (see: https://github.com/stochasticai/x-stable-diffusion) to easily accelerate your inference 2x or more. That means you can generates 2x more images / $ on public clouds.
-
30% Faster than xformers? voltaML vs xformers stable diffusion - NVIDIA 4090
Brilliant, the x-stable-diffusion TensorRT/ AITemplate etc. sample image suggested they weren't consistent between the optimizations at all, unless they hadn't locked the seed which would have been foolish for the test.
-
Upto 2.5X speed up of Stable-diffusion/Dreambooth using one line of code with voltaML.
I was looking at this three days ago, the problem is there seems to be a huge difference in what is being generated looking at the example spread on https://github.com/stochasticai/x-stable-diffusion , whereas copying model, params, seed should be giving a near identical image.
- Using Tensor Cores for Deep Learning.
-
A note from our sponsor - WorkOS
workos.com | 26 Apr 2024
Stats
Basic x-stable-diffusion repo stats
5
547
4.5
5 months ago
stochasticai/x-stable-diffusion is an open source project licensed under Apache License 2.0 which is an OSI approved license.
The primary programming language of x-stable-diffusion is Jupyter Notebook.
Sponsored
SaaSHub - Software Alternatives and Reviews
SaaSHub helps you find the best software and product alternatives
www.saashub.com