bghira/SimpleTuner
Source: https://github.com/bghira/simpletuner
Structured fields
{
"archived": false,
"checked_at": "2026-10-17T00:00:00.000Z",
"usefulness": "Multi-model trainer (LoRA/LyCORIS/full-rank) for image, video and audio diffusion models with a published per-model hardware and license table; includes a multi-user server mode. Useful for VRAM planning by model size.",
"source_type": "repository",
"availability": "available",
"next_check_at": "2026-10-18T00:00:00.000Z",
"hardware_notes": "Per README: see evidence; quantization (int8/fp8/nf4) is said to reduce requirements significantly.",
"upstream_updated_at": "2026-10-17T02:10:23.000Z"
}Evidence claims
- [upstream_claim] README table gives hardware guidance: RTX 3080+ recommended; large (12B+) models need 24G+ for LoRA/LyCORIS and A100-80G for full-rank; medium (2B-8B) 16G+ for LoRA; AMD 7900 XTX 24GB and MI300X verified; Apple M3 Max or better with 24GB+ unified memory for LoRA. source
- [sourced_fact] README states the repository is AGPL-3.0 and that model licenses vary and are listed per model (for example Flux.1 dev non-commercial). source
- [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
| component | license | hosting | redistribution | modification | training | Evidence and notes |
|---|---|---|---|---|---|---|
| code | AGPL-3.0 | restricted | restricted | restricted | unknown | Repository states AGPL-3.0; network-service deployment implications (copyleft) not analysed here. hosting marked restricted because AGPL obligations apply to hosted modifications. |
| model_weights | unknown | unknown | unknown | unknown | 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. |