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stable-diffusion

CompVis/stable-diffusion

A latent text-to-image diffusion model

GraphCanon updated 3w · GitHub synced 3w

73k stars11k forksLast push 2y Jupyter Notebook Other

Decision brief

Stable-diffusion is a state-of-the-art latent text-to-image diffusion model underpinning image generation from textual inputs.

Good fit when

  • For generating images based on text prompts with high fidelity and artistic detail.
  • When you need reproducibility in outputs by leveraging the latent space for stable transformations.

Avoid when

  • If the computational resources are limited, as it requires significant GPU power to train or fine-tune models.
  • In cases where real-time generation performance is critical, due to its computation-intensive process.

Observed Jul 15, 2026 · Source: enrich:decision_facts

Verify the decision

Maintenance and security

Full trust report
Maintenance
Dormant (774d since push)
As of 3w
Provenance
Not a fork · Organization account
As of 3w
Security (OSV)
No lockfile
As of 1mo

Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.

Install

git clone https://github.com/CompVis/stable-diffusion

How it fits your stack(5)

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Relationship graph

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Similar tools

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Evidence and technical details

Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.

Overview

CompVis/stable-diffusion provides a state-of-the-art text-to-image diffusion model for generating images from textual descriptions.

Capability facts

Languages
jupyter notebook

Source: github.language · Aug 1, 2026

Categories

Compatibility

Sourced claims from the README excerpt - not unsourced marketing copy.

Python runtimePython

Source: README excerpt (regex_v1, Aug 1, 2026)

pip install transformers==4.19.2 diffusers invisible-watermark
Source link

Tags

README

Requirements

A suitable conda environment named ldm can be created and activated with:

conda env create -f environment.yaml
conda activate ldm

You can also update an existing latent diffusion environment by running

conda install pytorch torchvision -c pytorch
pip install transformers==4.19.2 diffusers invisible-watermark
pip install -e .

For agents

This page has a .md twin and JSON over the API.

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