GaParmar/img2img-turbo

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

2476 stars · 291 forks observed · 2026-08-28

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

A research library implementing one-step image-to-image translation models (CycleGAN-Turbo and pix2pix-turbo) built on SD-Turbo diffusion models adapted via adversarial learning. It supports tasks like sketch-to-image, edge-to-image, and day-to-night translation with fast single-step inference.

Use cases

• convert sketches to photorealistic images
• translate day photos to night and vice versa
• generate images from edge maps with a text prompt
• run fast one-step image-to-image translation on GPU
• train custom image translation models on my own paired or unpaired data
• make clear photos look rainy

When to choose

• you need fast (sub-second) image-to-image translation with diffusion quality
• you want to adapt a single-step diffusion model to a new domain via adversarial training
• you need both paired (pix2pix) and unpaired (CycleGAN) translation in one toolkit

When to avoid

• you need multi-step high-fidelity diffusion pipelines with fine-grained control
• you have no GPU available
• you want a polished end-user application rather than a research codebase

Facets

library · maturity active

machine-learning deep-learning image-processing llm-inference computer-vision image-processing deep-learning artificial-intelligence python windows stable-diffusion image-to-image diffusion-models pix2pix cyclegan generative-ai sketch-to-image adversarial-learning gradio gpu linux macos

Member repositories

For agents

markdown · JSON · MCP: product_card(name="GaParmar/img2img-turbo")