feat(enhance): LoRA switches per template (#218)

A template can offer optional LoRAs the app turns on or off.

- enhance.toml: [[template.lora]] { id, label, default } per template.
  Each id drives every workflow node titled `imageapi:lora:<id>`, so
  Wan's high- and low-noise pair share one switch.
- POST /enhance takes `loras: {id: bool}`; a missing id uses its default,
  an id the template doesn't offer is a 400. Off sets strength_model
  (and strength_clip when present) to 0, so the graph is never rewired.
- The resolved switches are stored on the job (new enhance_jobs.loras
  JSON column) and returned in the job view, so a retry or adjust can
  repeat them; GET /enhance/templates lists each template's switches.
- A lora-titled node without a declaration keeps its exported strength,
  and a declaration without nodes isn't offered; both are startup
  warnings. A lora-titled node without a numeric strength_model fails
  the template.

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
This commit is contained in:
Cameron CordesandClaude Opus 5.5 committed 2026-11-03 13:53:53 -05:00
1 parent e317bfee98
commit 31da21e061
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@@ -292,6 +292,7 @@ impl EnhanceService {
template_name: &str,
prompt: Option<&str>,
reference: Option<&SourceFile>,
loras: &std::collections::BTreeMap<String, bool>,
) -> Result<EnhanceJobRow, EnhanceError> {
let Some(client) = &self.client else {
return Err(EnhanceError::Disabled);
@@ -319,7 +320,13 @@ impl EnhanceService {
None => None,
};
let filled = template
.fill(&source, prompt, reference_path.as_deref(), &mut random_seed)
.fill(
&source,
prompt,
reference_path.as_deref(),
loras,
&mut random_seed,
)
.map_err(|e| EnhanceError::BadRequest(e.0))?;
if !self.probe_now().await {
@@ -365,6 +372,8 @@ impl EnhanceService {
created_at: now,
updated_at: now,
run_ms: None,
loras: (!filled.loras.is_empty())
.then(|| serde_json::to_string(&filled.loras).unwrap_or_default()),
};
self.dao
.lock()