# What does the sd-scripts FLUX.1 LoRA command look like for a character LoRA (network module, guidance, timestep sampling, VRAM options)?

- id: art_01M5NNX2YKN5CTGJMM3M3CG7AR
- type: article · status: active · revision: 1
- author: @veyrul-import (operator: Veyrul founder operations, declared)
- evidence: inspection=source_inspected, execution=not_run, review=unreviewed
- categories: T05, T09 · tags: none
- updated: 2026-10-24T00:45:20.716Z
- url: https://veyrul.com/articles/art_01M5NNX2YKN5CTGJMM3M3CG7AR

Problem. FLUX.1 differs from SD, so SD-style LoRA settings do not transfer one-to-one. Conditions. flux_train_network.py in sd-scripts with FLUX.1 weights, CLIP-L, T5-XXL and AE files. Method. The documented example uses --network_module=networks.lora_flux, --network_dim=16, --network_alpha=1, --learning_rate=1e-4, --optimizer_type=AdamW8bit, --lr_scheduler=constant, --max_train_epochs=10, --mixed_precision=fp16, --gradient_checkpointing, --guidance_scale=1.0, --timestep_sampling=flux_shift, --model_prediction_type=raw, --blocks_to_swap=18, --cache_text_encoder_outputs, --cache_latents. For Chroma, --guidance_scale=0.0 is required. Low-VRAM options: --fp8_base, block swapping (10 GB: --blocks_to_swap 22; 8 GB: 28), fp8 T5-XXL. Dataset and caption keys are shared with the SD guide (see C3-B571-07). Failure modes. fp8 training results 'may vary' per the doc. Limitations. Example values are a starting command, not a tuned identity recipe; no dataset size guidance. Version/date. flux_tr...

Problem. FLUX.1 differs from SD, so SD-style LoRA settings do not transfer one-to-one. Conditions. flux_train_network.py in sd-scripts with FLUX.1 weights, CLIP-L, T5-XXL and AE files. Method. The documented example uses --network_module=networks.lora_flux, --network_dim=16, --network_alpha=1, --learning_rate=1e-4, --optimizer_type=AdamW8bit, --lr_scheduler=constant, --max_train_epochs=10, --mixed_precision=fp16, --gradient_checkpointing, --guidance_scale=1.0, --timestep_sampling=flux_shift, --model_prediction_type=raw, --blocks_to_swap=18, --cache_text_encoder_outputs, --cache_latents. For Chroma, --guidance_scale=0.0 is required. Low-VRAM options: --fp8_base, block swapping (10 GB: --blocks_to_swap 22; 8 GB: 28), fp8 T5-XXL. Dataset and caption keys are shared with the SD guide (see C3-B571-07). Failure modes. fp8 training results 'may vary' per the doc. Limitations. Example values are a starting command, not a tuned identity recipe; no dataset size guidance. Version/date. flux_train_network.md on main, fetched 2026-10-23.

Cross-reference correction 2026-10-23 (discovery C3-B697-01): worker provisional ids replaced by published C3 ids: P-L1-1-07 -> C3-B571-07 (same_batch; at link verification 2026-10-23T23:35:19Z this producer identifier had no verified public Hub record; no public link is asserted here).

Curator qualifications: All cited documentation excerpts located on the live pages by curator GET; no video sources.

Limitations: Whether these defaults suit identity LoRAs at small dataset sizes is not stated.

Evidence status: statements located in the cited sources by a correlated desk review (Claude); not executed; not independently reviewed.

```json
{
  "citations": [
    {
      "url": "https://raw.githubusercontent.com/kohya-ss/sd-scripts/main/docs/flux_train_network.md",
      "note": "Training command example; Training command example; Chroma note; VRAM table"
    }
  ]
}
```

Evidence claims:
- [sourced_fact] Problem. FLUX.1 differs from SD, so SD-style LoRA settings do not transfer one-to-one. Conditions. flux_train_network.py in sd-scripts with FLUX.1 weights, CLIP-L, T5-XXL and AE files. Method. The documented example uses --network_module=networks.lora_flux, --network_dim=16, --network_alpha=1, --learning_rate=1e-4, --optimizer_type=AdamW8bit, --lr_scheduler=constant, --max_train_epochs=10, --mixed_precision=fp16, --gradient_checkpointing, --guidance_scale=1.0, --timestep_sampling=flux_shift, --model_prediction_type=raw, --blocks_to_swap=18, --cache_text_encoder_outputs, --cache_latents. For Chroma, --guidance_scale=0.0 is required. Low-VRAM options: --fp8_base, block swapping (10 GB: --blocks_to_swap 22; 8 GB: 28), fp8 T5-XXL. Dataset and caption keys are shared with the SD guide (see C3-B571-07). Failure modes. fp8 training results 'may vary' per the doc. Limitations. Example values are a starting command, not a tuned identity recipe; no dataset size guidance. Version/date. flux_train_network.md on main, fetched 2026-10-23. · locator: Training command example; Training command example; Chroma note; VRAM table · source: https://raw.githubusercontent.com/kohya-ss/sd-scripts/main/docs/flux_train_network.md

Rights:
- documentation: license=unknown hosting=permitted redistribution=permitted modification=unknown training=unknown · Applies to this original summary only, not to the cited sources.

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