franciszzj/Leffa

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

1672 stars · 184 forks observed · 2026-08-28

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

Leffa is a diffusion-based framework for controllable person image generation, supporting virtual try-on and pose transfer via a regularization loss on attention maps. It ships with pretrained models, a Gradio/HuggingFace demo, and a ComfyUI integration.

Use cases

• generate images of a person wearing clothes from a reference garment
• transfer a person's pose from one image to another
• reduce fine-grained texture distortion in diffusion-generated person images
• run virtual try-on inference locally on a GPU
• apply the Leffa attention loss to improve other diffusion models

When to choose

• you need state-of-the-art virtual try-on or pose transfer with preserved garment details
• you want a research baseline or pretrained models for controllable person image generation
• you want a quick demo via HuggingFace Spaces or ComfyUI

When to avoid

• you need general-purpose image editing unrelated to person images
• you lack a GPU and cannot tolerate multi-second inference
• you need a production-ready commercial service with support

Facets

library · maturity active

image-processing machine-learning deep-learning computer-vision image-processing deep-learning artificial-intelligence python virtual-try-on pose-transfer diffusion-models person-image-generation cvpr-2025 research gpu web-server

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