pix2pixzero/pix2pix-zero

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

1146 stars · 84 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

pix2pix-zero is a Python library implementing zero-shot image-to-image translation using pre-trained Stable Diffusion models. It enables editing real and synthetic images (e.g., cat to dog) without fine-tuning or manual text prompting, preserving input structure via cross-attention guidance.

Use cases

• translate a photo of a cat into a dog without retraining a model
• edit real images with stable diffusion without writing text prompts
• apply style edits like low-poly or watercolor to photos
• convert horse images to zebras preserving structure
• run zero-shot image editing locally with diffusers
• reproduce SIGGRAPH 2023 image-to-image translation research

When to choose

• you need training-free, prompt-free image editing with structure preservation
• you want to build on pre-trained Stable Diffusion via the diffusers library
• you are reproducing or extending the pix2pix-zero research

When to avoid

• you need actively maintained production software with frequent updates
• you lack a GPU or cannot run large diffusion models locally
• you need text-prompt-driven editing rather than fixed edit directions

Facets

library · maturity maintenance

image-processing machine-learning deep-learning image-processing artificial-intelligence computer-vision python cross-platform stable-diffusion image-to-image diffusion-models zero-shot siggraph research-code gpu

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