google/prompt-to-prompt

Health v2 · maintenance only

Flags: no_releases archived

Adoption not part of the score

3456 stars · 318 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

Google's official implementation of the Prompt-to-Prompt paper, which enables text-driven image editing in Latent Diffusion and Stable Diffusion models by controlling cross-attention weights during generation. It provides an AttentionControl API supporting prompt replacement, refinement, and token re-weighting edits.

Use cases

• edit images by swapping words in the prompt while keeping composition
• add style or detail tokens to a prompt and regenerate the same image
• strengthen or weaken the influence of a specific word on the generated image
• research attention control in diffusion models
• build text-to-image editing pipelines on top of Stable Diffusion

When to choose

• you want research-grade, paper-faithful prompt-to-prompt image editing with Stable Diffusion or Latent Diffusion
• you need a simple AttentionControl abstraction to experiment with cross-attention manipulation
• you want runnable notebooks demonstrating replacement, refinement, and re-weighting edits

When to avoid

• you need a production image-editing service or polished UI rather than research code
• you want the latest diffusion models or editors like InstructPix2Pix or ControlNet
• you have less than 12GB of GPU VRAM or no GPU available

Facets

library · maturity maintenance

image-processing machine-learning deep-learning prompt-engineering artificial-intelligence image-processing deep-learning machine-learning python stable-diffusion latent-diffusion diffusion-models attention-control text-to-image image-editing research-code jupyter-notebooks gpu

Member repositories

For agents

markdown · JSON · MCP: product_card(name="google/prompt-to-prompt")