Create 🔥 videos with Stable Diffusion by exploring the latent space and morphing between text prompts
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Updated
Sep 21, 2024 - 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.
🤗 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.
Official repository of "TryOffDiff: Virtual-Try-Off via High-Fidelity Garment Reconstruction using Diffusion Models".
Quantized stable-diffusion cutting down memory 75%, testing in streamlit, deploying in container
Easily create your own AI avatar images!
Collection of OSS models that are containerized into a serving container
Toolchain for creating custom datasets and training Stable Diffusion (1.x, 2.x, XL) models and LoRAs
Experimental Stable Diffusion XL Webui
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.
🤗 Diffusers meets ⚡ PyTorch-Lightning: A simple and flexible training template for diffusion models.
Generate photo-realistic & high-resolution images by user-defined prompts using Flux-schnell, in PyTorch & Gradio
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
Image generation by text prompts, using Stable Diffusion-v1-5, in PyTorch & Gradio
Easy to use diffusion in mobile interface.
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