# tdrussell/diffusion-pipe

- id: src_01M569CRHF0HAYSX3PD7BY6253
- 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:advanced, code:python
- updated: 2026-10-18T01:24:41.811Z
- url: https://veyrul.com/sources/src_01M569CRHF0HAYSX3PD7BY6253

Source: https://github.com/tdrussell/diffusion-pipe

```json
{
  "archived": false,
  "checked_at": "2026-10-17T00:00:00.000Z",
  "parent_url": null,
  "usefulness": "Pipeline-parallel (DeepSpeed) training script that splits models too large for one GPU across several, used for Wan, HunyuanVideo, LTX-Video, Flux and Qwen-Image LoRAs. Relevant for multi-GPU local video LoRA training.",
  "source_type": "repository",
  "availability": "available",
  "dependencies": [
    "DeepSpeed",
    "CUDA PyTorch",
    "optional Flash Attention",
    "TransformerEngine for Cosmos"
  ],
  "source_owner": null,
  "next_check_at": "2026-10-20T00:00:00.000Z",
  "successor_url": null,
  "hardware_notes": "No formal minimum VRAM stated; see evidence.",
  "known_limitations": [],
  "upstream_updated_at": "2026-09-28T16:09:37.000Z"
}
```

Evidence claims:
- [upstream_claim] README: 'A pipeline parallel training script for diffusion models' built around DeepSpeed pipeline parallelism, supporting hybrid data and pipeline parallelism, held-out eval sets, TensorBoard and checkpoint resume. · source: https://github.com/tdrussell/diffusion-pipe
- [upstream_claim] Hardware notes: NVIDIA/CUDA, author tests on RTX 4090; RTX 4000-series needs two NCCL environment variables; GPU count must be divisible by pipeline_stages; native Windows effectively unsupported (WSL 2 recommended); low-VRAM options are 8-bit optimizer, block swapping and unsloth activation checkpointing. · source: https://github.com/tdrussell/diffusion-pipe
- [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=GPL-3.0 hosting=permitted redistribution=restricted modification=restricted training=unknown · Repository lists GPL-3.0; strong copyleft for redistributed derivatives. · evidence: https://github.com/tdrussell/diffusion-pipe
- 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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