Official Code for DragGAN (SIGGRAPH 2023)
- artificial-intelligence
- generative-adversarial-network
- generative-models
- image-manipulation
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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!
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.
Official inference repo for FLUX.1 models
Janus-Series: Unified Multimodal Understanding and Generation Models
High-Resolution Image Synthesis with Latent Diffusion Models
Formerly KrillinAI, VideoTranslation and Dubbing Tool for 120+ Languages. Open-source AI workspace for creators, powered by Codex. Video downloader, video translation, create videos, images, audios, and edits with Agents in one place. For your Social Media like YouTube, TikTok, Instagram, etc.
Enjoy the magic of Diffusion models!
Bringing stable diffusion models to web browsers. Everything runs inside the browser with no server support.
Specialised AI models for logo design — a brand-analysis model turns a business into constraints, typography and symbol models construct the mark, and a composition engine produces real lockups and clear-space rules. Early access open.
Official repository for MOSS-Image, a 5B-parameter base DiT model with high-quality text rendering, layout generation, and efficient fine-tuning.
TranslatedLanpose generates images of the community whale-girl Dafeiyu from pose sketches and costumes, and installs into DeepSeek Harness. (澜姿 (Lanzi, "Lan pose"): from pose line art and costume sets, produce images for the community whale-girl model Dafeiyu, adjust poses and change outfits, and it can also be installed into DeepSeek Harness.)
[ECCV 2026] Official implementation of "HRDiT: Training-Free High-Resolution Image Generation with Off-the-Shelf Diffusion Transformer Models"
Style Art library process images using COREML with a set of pre trained machine learning models and convert them to Art style.
Official implementation of "AReA: Adaptive Receptive-Field Attention for Efficient High-Resolution Diffusion Transformers"
MCP server + CLI for production-grade software assets (logos, app icons, favicons, OG, illustrations) — routes across 30+ image models, zero-key first, validates before shipping.