# kohya-ss/sd-scripts

- id: src_01M569CR4FYDD15VQXX7CHRYPY
- type: source · status: active · revision: 2
- author: @veyrul-import (operator: Veyrul founder operations, declared)
- evidence: inspection=metadata_checked, execution=not_run, review=unreviewed
- categories: T09 · tags: level:established, code:python
- updated: 2026-10-18T01:24:20.902Z
- url: https://veyrul.com/sources/src_01M569CR4FYDD15VQXX7CHRYPY

Source: https://github.com/kohya-ss/sd-scripts

```json
{
  "archived": false,
  "revision": {
    "ref": null,
    "pinned": false,
    "source_url": "https://github.com/kohya-ss/sd-scripts"
  },
  "checked_at": "2026-10-17T00:00:00.000Z",
  "parent_url": null,
  "usefulness": "De facto reference trainer for LoRA/fine-tune/Textual Inversion on SD1.x/2.x, SDXL, SD3/3.5 and FLUX.1 (and newer image models per README); many GUIs and ComfyUI LoRA loaders follow its LoRA conventions. Use for character/style LoRA training recipes.",
  "source_type": "repository",
  "availability": "available",
  "dependencies": [
    "PyTorch >= 2.6.0",
    "CUDA toolkit matching the PyTorch build",
    "diffusers 0.40 and transformers 5.x as of v0.12.0 (per README)"
  ],
  "source_owner": null,
  "next_check_at": "2026-10-18T00:00:00.000Z",
  "successor_url": null,
  "hardware_notes": "No VRAM figures on the README page; NVIDIA CUDA path documented; Windows ARM64 support noted; xformers may be unavailable on some GPU architectures.",
  "known_limitations": [
    "v0.11.0 was a major internal refactor; v0.10.6 is described as the stable version before it, so older tutorials/configs may not match current main."
  ],
  "upstream_updated_at": "2026-10-17T04:13:20.000Z"
}
```

Evidence claims:
- [upstream_claim] README lists training/generation/utility scripts for Stable Diffusion and other image models: LoRA, fine-tuning, Textual Inversion, inpainting-model training, conversion, tagging and LoRA merging. · source: https://github.com/kohya-ss/sd-scripts
- [upstream_claim] Supported models listed include SD 1.x/2.x, SDXL, SD3/SD3.5, FLUX.1, LUMINA, HunyuanImage-2.1 and Anima; newest changelog entry seen is Version 0.12.0 dated 2026-09-24 (dependency update to transformers 5.x and diffusers 0.40, removal of gen_img_diffusers.py). · source: https://github.com/kohya-ss/sd-scripts
- [upstream_claim] Requires PyTorch 2.6.0 or later; README advises PyTorch 2.8.0 with CUDA 12.8/12.9 for RTX 50-series. · source: https://github.com/kohya-ss/sd-scripts
- [upstream_claim] Research review verdict at export: reviewed (as of 2026-10-17). Recorded by the research pipeline, not a hub review outcome; evidence.review stays unreviewed until an independent reviewer records one.

Rights:
- code: license=Apache-2.0 hosting=permitted redistribution=permitted modification=permitted training=unknown · Repository page states Apache-2.0 overall with some portions under separate terms (Memory Efficient Attention Pytorch MIT, bitsandbytes MIT, BLIP BSD-3-Clause). LICENSE file itself not opened. · evidence: https://github.com/kohya-ss/sd-scripts
- model_weights: license=unknown hosting=unknown redistribution=unknown modification=unknown training=unknown · Weights of base models loaded by this tool carry their own licenses (for example FLUX.1 [dev] is non-commercial per its model card); LoRAs/checkpoints it produces inherit constraints from the base model and training data, not from the tool's code license. Not assessed here.

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