---
name: genconfig_to_sdcpp_args
kind: function
lang: py
domain: ml
version: "1.0.0"
purity: pure
signature: "def genconfig_to_sdcpp_args(cfg: GenerationConfig) -> list[str]"
description: "Convierte un GenerationConfig a lista de args CLI para stable-diffusion.cpp (sd-cli). Mapea sampler via _SAMPLER_MAP, aplana LoRAs como pares --lora path:weight. Sin I/O ni dependencias externas."
tags: [ml, sdcpp, stable-diffusion-cpp, cli, converter, pure, pendiente-usar]
params:
  - name: cfg
    desc: "Instancia de GenerationConfig con los parametros de generacion validados."
output: "Lista de strings con los argumentos CLI en orden. Listo para subprocess.run(['sd'] + args, ...)."
uses_functions: []
uses_types:
  - generation_config_py_ml
returns: []
returns_optional: false
error_type: ""
imports: []
tested: true
tests:
  - "sampler euler_a se mapea a euler_a en el flag --sampling-method"
  - "sampler dpm++2m se mapea a dpmpp2m"
  - "lora con path y weight se agrega como --lora path:weight"
  - "multiples loras generan multiples pares --lora"
  - "negative_prompt None produce string vacio en --negative-prompt"
  - "model.path tiene prioridad sobre model.name en -m"
  - "args contiene --prompt --seed --steps --cfg-scale --sampling-method -W -H -m"
test_file_path: "python/functions/ml/tests/test_genconfig_to_sdcpp_args.py"
file_path: "python/functions/ml/genconfig_to_sdcpp_args.py"
---

## Ejemplo

```python
from ml.genconfig_to_sdcpp_args import genconfig_to_sdcpp_args
from ml.generation_config import GenerationConfig
from ml.model_ref import ModelRef
from ml.lora_ref import LoraRef

cfg = GenerationConfig(
    prompt="a cat",
    seed=1,
    steps=20,
    cfg_scale=7.0,
    sampler="dpm++2m",
    width=512,
    height=512,
    model=ModelRef(name="v1-5", model_type="sd15", path="/models/v1-5.ckpt"),
    loras=[LoraRef(path="/loras/detail.safetensors", weight=0.8)],
)

args = genconfig_to_sdcpp_args(cfg)
# ["--prompt", "a cat", "--negative-prompt", "", "--seed", "1",
#  "--steps", "20", "--cfg-scale", "7.0", "--sampling-method", "dpmpp2m",
#  "-W", "512", "-H", "512", "-m", "/models/v1-5.ckpt",
#  "--lora", "/loras/detail.safetensors:0.8"]
```

## Notas

Mapa de samplers (_SAMPLER_MAP):
- euler → euler
- euler_a → euler_a
- dpm++2m → dpmpp2m
- dpm++2m_v2 → dpmpp2mv2
- heun → heun
- dpm2 → dpm2
- lcm → lcm

Si cfg.model.path es None, se usa cfg.model.name (nombre de hub o path relativo
segun configuracion del entorno sdcpp). Los LoRAs sin path se omiten silenciosamente.