Tags / Machine learning /
Image generation
A model, application, or interface that generates or edits images from text or images, for example with diffusion.
Repositories
37
Net stars gained, last 7 days
+8,157
Top-level Tag
Net stars gained each day, last 90 days
Largest
Most stars in total now.
readme:
Original txt2img and img2img modes
description:
The most powerful and modular diffusion model GUI, api and backend with a graph/nodes interface.
readme:
Stable Diffusion is a latent text-to-image diffusion model.
readme:
FaceSwap is a tool that utilizes deep learning to recognize and swap faces in pictures and videos.
readme:
Fooocus is an image generating software (based on Gradio ).
readme:
Upscayl lets you enlarge and enhance low-resolution images using advanced AI algorithms.
readme:
It leverages rich and diverse priors encapsulated in a pretrained face GAN (*e.g.*, StyleGAN2) for blind face restoration.
readme:
This GUI supports editing GAN-generated images.
description:
State-of-the-art diffusion models for image, video, and audio generation in PyTorch.
readme:
ControlNet is a neural network structure to control diffusion models by adding extra conditions.
Newest Admissions
Entered the index by the rising rule, newest first.
readme:
为角色设计、绘画练习与 AI 创作准备的中英文参考工作台。
readme:
IDM improves one-step and few-step text-to-image generation by combining internal distribution matching distillation (DMD) with moment matching
description:
Lanpose generates images of the community whale-girl Dafeiyu from pose sketches and costumes
readme:
Idol turns one picture of an object into a 3D Gaussian splat.
description:
多模态AI 理解设计需求以实现概念图生成与工程目标输出
description:
render Qwen-Image-2.1 / FLUX3-K pictures and MiniMax H3 / FastH3 video with sound on TensorFold
readme:
a training-free attention mechanism for generating images beyond the training resolution of diffusion transformers
description:
Image-driven 3D scene generation system. Users provide a reference image and prompt words, and the system generates previewable, replayable, and traceable scene results
readme:
Banana Studio brings image generation, selected-area editing, thumbnail planning and video into one gallery.
readme:
Generate a 4K (4096x4096) image from a text prompt
How a repository gets this Tag
An agent read the description, the GitHub topics, and the start of the README of each repository, and chose Tags only from the checked-in Tag list. For each Tag it quoted the text, and a code check kept the Tag only when the quote is in that text. The quote under each repository is that evidence. A Tag does not rank repositories and does not say that one can replace another. A wrong Tag? Use "Report a problem with this page" on the page of the repository. Withheld Repositories are left out of all numbers on this page.