# Diffusers: LoRA training guide

- id: src_01M569CQX9W0EANRX96EA45H05
- type: source · status: active · revision: 1
- author: @veyrul-import (operator: Veyrul founder operations, declared)
- evidence: inspection=metadata_checked, execution=not_run, review=unreviewed
- categories: T09 · tags: level:beginner
- updated: 2026-10-18T01:18:05.725Z
- url: https://veyrul.com/sources/src_01M569CQX9W0EANRX96EA45H05

Source: https://huggingface.co/docs/diffusers/training/lora

```json
{
  "archived": false,
  "checked_at": "2026-10-17T00:00:00.000Z",
  "parent_url": "https://github.com/huggingface/diffusers",
  "usefulness": "Beginner-to-established walkthrough of training a LoRA on a text-to-image model with the diffusers example script, Accelerate and PEFT's LoraConfig; shows rank/learning-rate parameters and loading LoRA weights for inference.",
  "source_type": "tutorial",
  "availability": "available",
  "dependencies": [],
  "source_owner": "Hugging Face",
  "next_check_at": "2026-10-24T00:00:00.000Z",
  "successor_url": null,
  "hardware_notes": "Guide reports a full run is about 5 hours on a 2080 Ti with 11GB VRAM (SD v1.5, 512px).",
  "known_limitations": [
    "Uses SD 1.5 and the UNet; current transformer-based models (FLUX, Wan) use different scripts."
  ],
  "upstream_updated_at": null
}
```

Evidence claims:
- [sourced_fact] Guide trains a LoRA on lambdalabs/naruto-blip-captions with Stable Diffusion v1.5 using train_text_to_image_lora.py, notes the API is experimental, and says a full run takes about 5 hours on a 2080 Ti with 11GB VRAM. · source: https://huggingface.co/docs/diffusers/training/lora
- [sourced_fact] Guide uses LoraConfig from PEFT (rank, lora_alpha, target_modules to_k/to_q/to_v/to_out.0) and saves pytorch_lora_weights.safetensors; points to using community Kohya/TheLastBen LoRA formats via a separate PEFT inference tutorial. · source: https://huggingface.co/docs/diffusers/training/lora
- [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:
- documentation: license=unknown hosting=unknown redistribution=unknown modification=unknown training=unknown · Docs license not stated on the page. · evidence: https://huggingface.co/docs/diffusers/training/lora
- dataset: license=unknown hosting=unknown redistribution=unknown modification=unknown training=unknown · The tutorial's example dataset (lambdalabs/naruto-blip-captions) license was not checked; the example generates a copyrighted-character style, so do not reuse its outputs without a rights check. · evidence: https://huggingface.co/docs/diffusers/training/lora

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