Create 🔥 videos with Stable Diffusion by exploring the latent space and morphing between text prompts
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Updated
Dec 16, 2025 - Python
Create 🔥 videos with Stable Diffusion by exploring the latent space and morphing between text prompts
Inpaint Anything extension performs stable diffusion inpainting on a browser UI using masks from Segment Anything.
Inpaint Anything performs stable diffusion inpainting on a browser UI using masks from Segment Anything.
Dreambooth implementation based on Stable Diffusion with minimal code.
[CVPR'25-Demo] Official repository of "TryOffDiff: Virtual-Try-Off via High-Fidelity Garment Reconstruction using Diffusion Models".
🤗 Unofficial huggingface/diffusers-based implementation of the paper "Training-Free Structured Diffusion Guidance for Compositional Text-to-Image Synthesis".
A simple web application that lets you replace any part of an image with an image generated based on your description.
Quantized stable-diffusion cutting down memory 75%, testing in streamlit, deploying in container
Easily create your own AI avatar images!
Toolchain for creating custom datasets and training Stable Diffusion (1.x, 2.x, XL) models and LoRAs
Collection of OSS models that are containerized into a serving container
Experimental Stable Diffusion XL Webui
🤗 Diffusers meets ⚡ PyTorch-Lightning: A simple and flexible training template for diffusion models.
This project is a Streamlit-based web app that enables users to generate AI-generated images using text prompts. The app integrates two powerful image generation models: OpenAI's DALL-E and Huggingface's Diffusion models.
A Gradio-based demonstration for the Tongyi-MAI/Z-Image-Turbo diffusion pipeline, enhanced with a curated collection of LoRAs (Low-Rank Adaptations) for style transfer and creative image generation. Users can select from pre-listed LoRAs or add custom ones from Hugging Face repositories.
Generate photo-realistic & high-resolution images by user-defined prompts using Flux-schnell, in PyTorch & Gradio
TRELLIS.2-Text-to-3D is an end-to-end Text-to-3D and Image-to-3D generation app that enables users to create high-quality 3D GLB assets either by generating an image from a text prompt or by uploading an existing image, powered by Z-Image-Turbo and the TRELLIS.2 multi-stage pipeline.
Generate image by prompts using Stable Diffusion XL-turbo, in Pytorch & Gradio
This is an adaption of the notebook , which is provided as part of a class by Hugging Face
Pytorch + HuggingFace Diffusers project that experiments with latent diffusion model by training variational autoencoder (VAE) and a conditional U-Net.
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