Stable Diffusion web UI
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Updated
Mar 2, 2026 - Python
Stable Diffusion web UI
🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch.
Just playing with getting VQGAN+CLIP running locally, rather than having to use colab.
Stable Diffusion web UI
Autoregressive Model Beats Diffusion: 🦙 Llama for Scalable Image Generation
PALLAIDIUM — a generative AI movie studio, seamlessly integrated into the Blender Video Editor (VSE), enabling end-to-end production from script to screen and back.
GLM-Image: Auto-regressive for Dense-knowledge and High-fidelity Image Generation.
Beautiful and Easy to use Stable Diffusion WebUI
Templating language written for Stable Diffusion workflows. Available as an extension for the Automatic1111 WebUI.
ComfyUI DyPE+SEGA, enabling artifact-free 4K+ image generation: Z-Image, Qwen, Flux, Krea2
Z-Image workflow with predefined styles for high-quality image generation and a user-friendly experience. Includes pre-configured versions for GGUF and SAFETENSORS checkpoint formats.
A colab friendly toolkit to generate 3D mesh model / video / nerf instance / multiview images of colourful 3D objects by text and image prompts input, based on dreamfields.
T-GATE: Temporally Gating Attention to Accelerate Diffusion Model for Free!
Just playing with getting CLIP Guided Diffusion running locally, rather than having to use colab.
Open reproduction of MUSE for fast text2image generation.
[ICML 2026] Official implementation for "DyPE: Dynamic Position Extrapolation for Ultra High Resolution Diffusion".
A set of ComfyUI nodes designed specifically for the Z-Image / Z-Image Turbo model.
web UI for GPU-accelerated ONNX pipelines like Stable Diffusion, even on Windows and AMD
[ICLR2023] Discrete Contrastive Diffusion for Cross-Modal Music and Image Generation (CDCD).
CLIP-GEN: Language-Free Training of a Text-to-Image Generator with CLIP
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