Stable Diffusion Prompt Optimizer

Analyzes and enhances Stable Diffusion prompts using the Automatic1111 WebUI API /sdapi/v1/txt2img endpoint. Applies prompt weighting, negative prompt generation, and A1111-specific syntax like (keyword:weight).

Installation

Use the upstream install or setup path that matches your environment:

• conda env create -f environment.yaml
• conda activate ldm
• conda install pytorch torchvision -c pytorch
• pip install transformers==4.19.2 diffusers invisible-watermark

Requirements and caveats from upstream:

• python scripts/txt2img.py --prompt "a photograph of an astronaut riding a horse" --plms
• and renders images of size 512x512 (which it was trained on) in 50 steps. All supported arguments are listed below (type python scripts/txt2img.py --help).

Basic usage or getting-started notes:

• A suitable conda environment named ldm can be created

• and activated with:

• You can also update an existing latent diffusion environment by running

• Source: https://github.com/CompVis/stable-diffusion

• Extracted from upstream docs: https://raw.githubusercontent.com/CompVis/stable-diffusion/HEAD/README.md

Source

• Agent Skill Exchange