lea97338/KTXFlux-2.0

Overview KTXFlux 2.0 (FLUX.2 klein) integrates a multi-layered safety system designed to mitigate harmful outputs across the entire lifecycle of the model: training, fine‑tuning, and inference. Unlike legacy diffusion pipelines, safety is not a single post‑generation checker but a distributed architecture of safeguards.

🧠 Safety Architecture

1. Pre‑Training Mitigation

Dataset filtering for:

NSFW content CSAM (illegal exploitative content)

External safety partnerships (e.g. independent moderation orgs)

✅ Goal: prevent unsafe knowledge from entering the model

2. Post‑Training Mitigation

Targeted fine‑tuning to:

suppress unsafe concepts reduce exploitability via prompts

Applies to:

text‑to‑image (T2I) image‑to‑image (I2I)

✅ Goal: make the model inherently safer

3. Inference Safety Filters

Multi-stage filtering:

Prompt analysis (input text) Input image analysis (if provided) Output image moderation

Filtering sources:

Internal classifiers External moderation APIs (third-party)

✅ Must be implemented by deployer per license requirements