Vibecomfy

VibeComfy

VibeComfy is this package: a Python-first way to drive ComfyUI without hand-editing JSON. The center of gravity is VibeWorkflow: load a workflow, edit it in Python, validate it, then compile to ComfyUI API JSON and run it.

Use this umbrella skill for orientation and package rules. For real work, route to the smallest focused skill:

The operating path is:

discover -> load_bundle -> edit/compose -> validate -> compile("api") -> run -> collect outputs

For a reusable source-to-Python onboarding path, including provenance and honest import/runtime blockers, see workflow onboarding.

First Moves

Work from the repo root. Prefer the vibecomfy ... console entrypoint; if an editable checkout has no console script, use python -m vibecomfy.cli ....

For a runnable starting point:

vibecomfy workflows list --ready
vibecomfy inspect image/z_image
vibecomfy copy-to-recipe image/z_image --out recipes/my_run.py
vibecomfy validate recipes/my_run.py
vibecomfy run recipes/my_run.py --runtime server --server-url http://127.0.0.1:8188

For raw JSON:

vibecomfy port check workflow.json --json
vibecomfy port convert workflow.json --out out/scratchpads/workflow.py --json
vibecomfy validate out/scratchpads/workflow.py

For setup trouble:

vibecomfy config show --json
vibecomfy runtime doctor

Authoring Model

Use one loader by default:

from vibecomfy.cli_loader import load_bundle

def build():
    wf = load_bundle("image/z_image").workflow
    wf.set_prompt("a glass teapot on basalt")
    wf.set_seed(42)
    wf.set_steps(20)
    return wf.finalize_metadata()

Choose the lightest edit shape:

Keep ComfyUI's terms precise: a workflow is any graph; a template is a curated starting-point workflow under ready_templates/.

Rules

• Treat raw UI/API JSON as import evidence. Load the canonical Python candidate through load_bundle() before editing or running.
• Treat the worktree as shared. Do not revert, overwrite, or clean up edits you did not make.
• Keep changes scoped to the requested workflow, command, template, or doc surface.
• Do not change runtime behavior, workflow corpus files, generated snapshots, or template manifests unless the task explicitly covers them.
• Never invent node class names, sockets, widget fields, or model layouts. Use inspect, analyze info, nodes spec, local precedents, or search-comfy-workflows.
• Sync indexes only when needed: vibecomfy sources sync.
• Add focused tests when changing command routing, parser behavior, conversion, validation, search, runtime-facing code, or template coverage.
• Keep tests deterministic; avoid requiring ComfyUI, RunPod, network, or local model files unless the test is explicitly marked for that environment.

Agent-Edit Policy

• Prefer normal static graph edits first.
• Use vibecomfy.loop only for bounded visible sweeps that cannot lower cleanly to ordinary nodes. Keep iteration counts bounded and metadata typed.
• Use vibecomfy.code only for inspectable typed logic when no shipped shape fits. Default to sandboxed modes. Never emit unrestricted execution from agent-authored code.
• Reject side-effecting, unbounded, runtime-only, external-I/O, or otherwise unrepresentable requests at policy level.
• Editor-only intent nodes may be valid for Canvas Apply, but they are Queue blockers until lowered to normal runtime nodes.
• When emitting an intent node programmatically, build metadata with intent_node_properties(...).

When You Need More Detail

Schema Capture and Preflight (Batch E)

Missing schema captures block preflight — the harness fails closed and tells you exactly how to provision:

vibecomfy schemas ensure --manifest <comparison-manifest.json>

What the command does (no parallel schema system, compose only):

• Registry → ephemeral clone → extraction ladder → cache + provenance tier. Registry resolves the owning pack (pack_resolver), a shallow clone is materialized in the LRU-bounded sandbox ~/.cache/vibecomfy/schema-sandbox (max 64 packs / 2 GiB), then extract_pack_schemas runs rung 1 (static AST) and rung 2 (stubbed-subprocess INPUT_TYPES — always on for this command). Rung 3 (embedded comfy-as-library) is deferred; the command fails closed if a class needs it.
• Persist with honest tier. persist_on_demand_pack stamps source_kind as on_demand_static (rung 1) or on_demand_import (rung 2), writes Pack@on_demand_*-{sha7}.json (never @runpod-snapshot or @stub.json), and attests provenance.json with repo, locked_commit (clone HEAD), extraction_rung, registry_pack_version, source_kind, schema_sha256.

How preflight accepts it:

• Declarations accepted: authoritative_object_info | on_demand_static | on_demand_import | on_demand_embedded. Preflight requires the declared source to match the cache entry's source_kind exactly — no silent upgrades (on_demand_static does not satisfy authoritative_object_info, on_demand_import does not satisfy on_demand_static).
• @stub.json / workflow_json_stub never counts as evidence (filtered and stub-rejected even if indexed).
• Campaign-grade strict lane: VIBECOMFY_OBLIGATION_RUNTIME_ONLY=1 rejects any on_demand_* declaration — runtime-family captures only.

Discovering the command:

• vibecomfy schemas validate-coverage --manifest <m> --json reports missing_classes and ensure_command (vibecomfy schemas ensure --manifest <m>); it exits 1 when --manifest and gaps exist (template positional keeps exit 0 for back-compat).
• vibecomfy doctor <workflow.py> on unknown_class_type / missing schema prints vibecomfy schemas ensure <workflow.py> and the generic vibecomfy schemas ensure --manifest <comparison.json> hint. Doctor never clones or extracts — reporting only.

Read REFERENCE.md for the API surface, layer model, command catalog, plugin hooks, known limitations, RunPod environment, and durable-template checklist.

In-repo references:

• docs/authoring.md — blocks, patches, handles, opaque subgraphs, recipes
• docs/vibeworkflow.md — IR contract
• docs/api/m6-public-api.md — public imports and compatibility aliases
• docs/custom_nodes.md — node packs, install/lock/restore
• docs/runtime/lifecycle.md, docs/runtime/surface.md — embedded vs server runtime
• docs/errors_and_doctor.md — what doctor flags and how to fix it
• docs/templates/adding_templates_models.md — full ready-template addition process

When in doubt, stay in Python and descend only as far as needed:

op -> Artifact -> preview_workflow -> VibeWorkflow -> compile("api") -> run