pesser/stable-diffusion
Research implementation of Latent Diffusion Models for high-resolution image synthesis from text prompts.
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This repository contains development code for Latent Diffusion Models, the diffusion-based generative model architecture that powers Stable Diffusion. It implements the model training pipeline, sampling methods including PLMS sampler, and classifier-free guidance for conditional image generation. The project provides pre-trained models trained on LAION-400M and integrates with Huggingface Spaces via Gradio for interactive demos.
Frequently asked
- What is pesser/stable-diffusion?
- Research implementation of Latent Diffusion Models for high-resolution image synthesis from text prompts.
- Is stable-diffusion open source?
- Yes — pesser/stable-diffusion is open source, released under the MIT license.
- What language is stable-diffusion written in?
- pesser/stable-diffusion is primarily written in Jupyter Notebook.
- How popular is stable-diffusion?
- pesser/stable-diffusion has 1k stars on GitHub.
- Where can I find stable-diffusion?
- pesser/stable-diffusion is on GitHub at https://github.com/pesser/stable-diffusion.