Stable Diffusion web UI
- deep-learning
- diffusion
- image-generation
- image2image
47,133 repositories indexed
1–19 of 19 · Most stars
Stable Diffusion web UI
Invoke is a leading creative engine for Stable Diffusion models, empowering professionals, artists, and enthusiasts to generate and create visual media using the latest AI-driven technologies. The solution offers an industry leading WebUI, and serves as the foundation for multiple commercial products.
Productive, portable, and performant GPU programming in Python.
High-Resolution 3D Assets Generation with Large Scale Hunyuan3D Diffusion Models.
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.
The repository host gives no description.
Streamlined interface for generating images with AI in Krita. Inpaint and outpaint with optional text prompt, no tweaking required.
TranslatedConvert AI papers to GUI,Make it easy and convenient for everyone to use artificial intelligence technology。
An easy 1-click way to create beautiful artwork on your PC using AI, with no tech knowledge. Provides a browser UI for generating images from text prompts and images. Just enter your text prompt, and see the generated image.
A PyTorch Library for Accelerating 3D Deep Learning Research
A very fast SIMD-first image comparison library (with nodejs API)
Supercharged experience for multiple models such as ChatGPT, DALL-E and Stable Diffusion.
Dart Image Library for opening, manipulating, and saving various different image file formats.
DiffSharp: Differentiable Functional Programming
The official implementation of 3D Equivariant Diffusion for Target-Aware Molecule Generation and Affinity Prediction (ICLR 2023)
Generative Fill, Remove object, Generative Expand and Text to Image for PhotoCraft and GIMP 3. Free, local, on your own GPU through ComfyUI.
JSAR: browser engine library designed for the Spatial Web. You can use it to mix-render different modern Web 2D and 3D contents together.
Machine learning compiler in Go. A from-scratch tinygrad port: graph-rewrite IR, autodiff as a compiler pass, zero-CGO WebGPU backend.
Playing around with swift playground by implementing different image filter algorithms