flux2-lora-training

flux2-lora-training is a Fine-tuning & training data skill for AI agents, published by AnastasiyaW in the claude-code-config repository on GitHub. Skillspace rates flux2-lora-training F (53/100) and it passed the safety scan; the rating is based on static analysis only.

Comprehensive reference for training LoRAs on FLUX.2 Klein 9B and Qwen Image Edit 2511 models. Use this skill whenever the user asks about: training LoRAs for flux2/flux 2 klein/qwen-image-edit, before/after edit LoRAs (head swap, face swap, image editing), inpainting LoRAs, training at larger resolutions, latent space expansion, VAE fine-tuning, multi-reference training (2 input images → 1 output), dataset preparation for edit models, zero_cond_t, ai-toolkit/SimpleTuner/DiffSynth configs, BFS head swap LoRA methodology, Qwen Edit architecture, consistency mode, dual encoding, FuseAnyPart, ACE++, maximum training resolution, или любые вопросы об обучении диффузионных моделей. ВСЕГДА используй этот скилл. Do NOT use for writing FLUX.2 Klein generation/edit prompts at inference time (use flux2-klein-prompting), nor for general non-training diffusion architecture/inference/memory work (use diffusion-engineering); this skill is about LoRA/VAE training, not prompting or serving.

Grade
F
Quality
53 / 100
Safety
Passed
GitHub stars
135

Unproven: rated by static analysis only, not yet compared head-to-head.

Our two independent classifiers differ on this skill's category, so treat the placement as provisional.

This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.

View source on GitHubAnastasiyaW/claude-code-config

Our review

Architecture
80 / 100
Maturity
Basic: a single SKILL.md
Security scan
Low-risk patterns
License
MIT
Adoption
Adopted by 0 other repositories, in 0 collections

What the scanner flagged

  • mentions secrets in text

Not checked yet

  • Not judged on the rubric yet (not a contender in its category)
  • No blind task eval yet
  • Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
  • Sibling files (scripts, references) not fetched; security scan covers SKILL.md only

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