Stable Diffusion web UI
- deep-learning
- diffusion
- image-generation
- image2image
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Stable Diffusion web UI
The most powerful and modular diffusion model GUI, api and backend with a graph/nodes interface. The fastest local inference engine in the world.
Deepfakes Software For All
Focus on prompting and generating
GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.
Official Code for DragGAN (SIGGRAPH 2023)
🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch.
Let us control diffusion models!
Industry leading face manipulation platform
Official inference repo for FLUX.1 models
Image-to-Image Translation in PyTorch
Stable Diffusion with Core ML on Apple Silicon
PyTorch implementations of Generative Adversarial Networks.
Qwen-Image 2.1 NSFW/姿势出图 skill:作者级提示词配方 + NSFW LoRA + 136 姿势 VNCCS 人偶控制;适用 Claude Code / Codex / Cursor / OpenClaw
Official repository for MOSS-Image, a 5B-parameter base DiT model with high-quality text rendering, layout generation, and efficient fine-tuning.
Image-driven 3D scene generation system. Users provide a reference image and prompt words, and the system generates previewable, replayable, and traceable scene results according to the camera trajectory; official 3D demonstration assets allow direct viewing of color/depth animations and Gaussian point clouds in the browser 图像驱动的三维场景生成系统
Idol: a single image to 3D Gaussians. Inference SDK and demo.
Imagination Studio by keys+Wasserman powered by TensorFold: an AI film studio for Mac and NVIDIA DGX Spark. Plan a film like a crew (Slate workflow by Sam Wasserman), render Qwen-Image-2.1 / FLUX3-K pictures and MiniMax H3 / FastH3 video with sound on TensorFold.
[ECCV 2026] Official implementation of "HRDiT: Training-Free High-Resolution Image Generation with Off-the-Shelf Diffusion Transformer Models"
Official code for Intrinsic Distribution Matching (IDM).
把 Codex imagegen 的工作流与提示词库带到任意智能体;支持 npm/pnpm 一键安装、配套 skill、独立 API 与 Qwen-Image 兼容网关。
Official implementation of "AReA: Adaptive Receptive-Field Attention for Efficient High-Resolution Diffusion Transformers"