catalog-contract: section_groups + Field.section for progressive disclosure; ace-step v2
asset_engine consumer (althing thread 01KRCJF7NGMXYE9F62Q1A6KFD4)
needed structure for ace-step's 27-field form. Two additive Pydantic
changes — backward-compatible, no catalog_version bump per the
policy table:
- CatalogField.section: str | None = None
- CatalogService.section_groups: list[CatalogSectionGroup] = []
- new CatalogSectionGroup model: {id, label, hint?}
Validator: every Field.section value must reference a declared
section_groups[].id within the same service; section_groups[].id
values are unique. CATALOG-CONTRACT.md updated with both the new
service-fields row and a versioning-policy row covering
"add optional Field/Service keys -> no bump."
ace-step entry rewritten to use the new schema:
- bumped version 1 -> 2
- declared 6 section groups (basic / generation / conditioning /
a2a / lora / output) with hints
- tagged every field with a section
- added previously-missing checkpoint_path (required: true,
default: "/app/checkpoints" — the container's mount path).
Wrapper-side cleanup (default in infer-api.py) queued as
follow-up.
- changed lyrics from optional: true -> required: true with
default "" to match upstream's `lyrics: str` shape (empty
string satisfies it).
JSON Schema regenerated.
Pydantic-model side of this change lives in asset_engine at
src/asset_engine/catalog.py — committed there separately.
This commit is contained in:
@@ -752,7 +752,7 @@ services:
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Apache-2.0 hybrid diffusion+LLM music generation. Multi-minute lyric-aware
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songs with vocals + instrumentation.
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category: music
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version: 1
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version: 2
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host: irv-ml1
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endpoint: http://10.100.79.3:8210/generate
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method: POST
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@@ -761,120 +761,184 @@ services:
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id: ace-step/ACE-Step
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revision: main
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image: local/ace-step:v1
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section_groups:
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- id: basic
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label: Basic
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hint: "Prompt + lyrics + duration. The 80% case."
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- id: generation
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label: Generation
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hint: "Sampler steps, guidance, scheduler, seed."
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- id: conditioning
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label: Conditioning
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hint: "ERG flags, OSS schedule, guidance shape."
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- id: a2a
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label: "Audio → Audio"
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hint: "Generate from a reference clip."
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- id: lora
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label: LoRA
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hint: "Adapter weights."
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- id: output
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label: Output
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hint: "Format and device."
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fields:
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- name: prompt
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type: textarea
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label: Musical Prompt
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required: true
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section: basic
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description: Style/mood/instrumentation, e.g. "uplifting pop with synth leads".
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- name: lyrics
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type: textarea
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label: Lyrics
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optional: true
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required: true
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default: ""
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section: basic
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description: >
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Required by the upstream Pydantic model (`lyrics: str`) but empty
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string is a valid value (instrumental). Default '' so the inference
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client always sends a string.
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- name: audio_duration
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type: slider
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min: 5.0
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max: 600.0
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default: 30.0
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label: Duration (seconds)
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- name: audio_format
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type: select
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options: [wav, mp3, flac]
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default: wav
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section: basic
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- name: infer_step
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type: number
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default: 20
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label: Inference Steps
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section: generation
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- name: guidance_scale
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type: slider
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min: 1.0
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max: 15.0
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default: 7.5
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section: generation
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- name: scheduler_type
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type: select
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options: [linear, squared, sqrt]
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default: linear
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section: generation
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- name: cfg_type
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type: select
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options: [none, cfg, cfg_rw]
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default: cfg
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section: generation
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- name: omega_scale
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type: slider
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min: 0.0
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max: 1.0
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default: 0.5
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section: generation
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- name: actual_seeds
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type: json
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label: Seeds
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default: [42]
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section: generation
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- name: guidance_interval
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type: slider
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min: 0.0
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max: 1.0
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default: 0.0
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section: conditioning
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- name: guidance_interval_decay
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type: slider
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min: 0.0
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max: 1.0
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default: 1.0
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section: conditioning
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- name: min_guidance_scale
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type: slider
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min: 0.0
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max: 10.0
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default: 1.0
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section: conditioning
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- name: use_erg_tag
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type: bool
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default: false
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section: conditioning
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- name: use_erg_lyric
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type: bool
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default: false
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section: conditioning
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- name: use_erg_diffusion
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type: bool
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default: false
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section: conditioning
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- name: oss_steps
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type: json
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default: []
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section: conditioning
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- name: guidance_scale_text
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type: slider
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min: 0.0
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max: 15.0
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default: 0.0
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section: conditioning
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- name: guidance_scale_lyric
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type: slider
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min: 0.0
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max: 15.0
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default: 0.0
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section: conditioning
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- name: audio2audio_enable
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type: bool
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default: false
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section: a2a
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- name: ref_audio_strength
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type: slider
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min: 0.0
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max: 1.0
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default: 0.5
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section: a2a
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- name: ref_audio_input
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type: text
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label: Reference Audio Path
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optional: true
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section: a2a
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- name: lora_name_or_path
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type: text
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label: LoRA Repo/Path
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optional: true
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section: lora
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- name: lora_weight
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type: slider
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min: 0.0
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max: 2.0
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default: 1.0
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section: lora
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- name: audio_format
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type: select
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options: [wav, mp3, flac]
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default: wav
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section: output
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- name: bf16
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type: bool
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default: true
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section: output
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- name: torch_compile
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type: bool
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default: false
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section: output
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- name: device_id
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type: number
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default: 0
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label: GPU Device Index
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section: output
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- name: checkpoint_path
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type: text
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label: Checkpoint Path
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required: true
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default: /app/checkpoints
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section: output
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description: >
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Required by the upstream wrapper (`infer-api.py:29`, no default in
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the Pydantic model). The container always mounts checkpoints at
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/app/checkpoints, so the catalog default works out-of-the-box.
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Only override if you've mounted an alternate checkpoint path.
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Wrapper-side cleanup queued — once the upstream model defaults this,
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the catalog field will become optional or be dropped entirely.
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response:
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type: audio
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mime_from_field: audio_format
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