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bytedance/InfiniteYou

🔥 [ICCV 2025 Highlight] InfiniteYou: Flexible Photo Recrafting While Preserving Your Identity observed · 2026-08-28

github.com/bytedance/InfiniteYou · homepage · Python · Apache-2.0 (permissive) observed · 2026-08-28

Health v2 · maintenance only

37/100

  • Activity 38
  • Release rhythm 35
  • Longevity 40

Flags: no_releases

How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.

  • gap_med: n/a
  • age_days: 565
  • days_rel: n/a
  • days_push: 376
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

2685 stars · 286 forks observed · 2026-08-28

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

InfiniteYou (InfU) is a research framework from ByteDance for identity-preserved text-to-image generation built on Diffusion Transformers like FLUX. It injects face identity features via InfuseNet with residual connections and multi-stage training to enable flexible photo recrafting while preserving a person's identity.

Use cases

  • generate new photos of a person from a reference face image
  • recraft a portrait photo with a text prompt while keeping the face identity
  • create identity-preserving avatars or headshots with text-to-image
  • improve face similarity in FLUX-based image generation
  • avoid face copy-pasting when generating images of a specific person
  • plug identity features into an existing diffusion transformer pipeline
  • run identity-preserved image generation in ComfyUI

When to choose

  • you need high-fidelity identity preservation with strong text-image alignment on FLUX/DiT models
  • existing tools like IP-Adapter or PuLID-FLUX give insufficient identity similarity or poor aesthetics
  • you want a plug-and-play identity injection component compatible with other methods
  • you are doing research on identity-preserved generation with diffusion transformers

When to avoid

  • you need general-purpose image editing without identity constraints
  • you have no GPU or cannot run large diffusion models locally
  • you need a production-ready end-user app rather than a research codebase
  • you work with non-face identity or object personalization only

Facets

library · maturity active

image-processing machine-learning deep-learning stable-diffusion llm-training image-processing deep-learning computer-vision artificial-intelligence python identity-preservation text-to-image diffusion-transformer flux face-generation personalization research-paper diffusers comfyui gpu

2 sources

Member repositories

RepositoryRoleHealth v2
bytedance/InfiniteYoumain37

For agents

markdown · JSON · MCP: product_card(name="bytedance/InfiniteYou")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem