comfyui: satisfy provider contract review items

This commit is contained in:
calesthio
2026-04-23 17:49:04 -07:00
committed by Alastair Beal
parent 4c62186c95
commit 7c4bb08890
9 changed files with 1152 additions and 71 deletions
+142 -38
View File
@@ -1,6 +1,6 @@
# ComfyUI Provider Adapter for OpenMontage
**RFC: Native ComfyUI backend for image, video, and music generation**
**RFC: Native ComfyUI backend for image and video generation**
---
@@ -36,12 +36,12 @@ on any hardware ComfyUI runs on, without shipping or maintaining PyTorch builds.
OpenMontage Agent
|
v
video_selector / image_selector / music_selector
|
v
comfyui_video comfyui_image comfyui_music (new tools)
| | |
v v v
video_selector / image_selector
|
v
comfyui_video comfyui_image (new tools)
| |
v v
ComfyUI REST API (POST /prompt, GET /history, GET /view)
|
v
@@ -50,7 +50,7 @@ GPU (any hardware ComfyUI supports)
### Integration model
Three new `BaseTool` subclasses plus one shared client library:
Two new `BaseTool` subclasses plus one shared client library:
```
tools/
@@ -61,21 +61,20 @@ tools/
flux2-txt2img.json
wan22-t2v-4step.json
wan22-i2v-4step.json
ace-step-music.json
graphics/
comfyui_image.py # capability="image_generation", provider="comfyui"
video/
comfyui_video.py # capability="video_generation", provider="comfyui"
audio/
comfyui_music.py # capability="music_generation", provider="comfyui"
```
### Zero changes to selectors or registry
### Registry and selector integration
The tools declare `capability` and `provider` as class attributes.
`tool_registry.discover()` picks them up automatically via `pkgutil.walk_packages`.
`video_selector`, `image_selector`, and `music_selector` find them via
`registry.get_by_capability()` -- no hardcoded references needed.
`video_selector` and `image_selector` find them via `registry.get_by_capability()`.
The only selector change is operation-specific filtering in `video_selector` so
ComfyUI is not selected for `image_to_video` when only the text-to-video bundled
models are installed, or vice versa.
---
@@ -84,6 +83,25 @@ The tools declare `capability` and `provider` as class attributes.
Encapsulates the ComfyUI REST API pattern proven in production (used by the
Bard project's Airflow DAGs for thousands of generations):
The endpoint contract was checked against current ComfyUI server documentation
and the April 2026 third-party developer guide:
- Official routes: `POST /prompt`, `GET /history/{prompt_id}`, `GET /view`,
`POST /upload/image`, `GET /object_info/{node_class}`, `GET /models/{folder}`,
`GET /system_stats`, and `WS /ws` are documented server routes.
- `/prompt` accepts the workflow in API format under the `prompt` key and
returns `prompt_id`, `number`, and `node_errors` on validation.
- `/history/{prompt_id}` returns completed node outputs; artifact records include
`filename`, `subfolder`, and `type`. The client passes all three through to
`/view` instead of assuming `type=output`.
- Workflows must be exported in ComfyUI API format, not the regular visual
canvas workflow format.
References:
- https://docs.comfy.org/development/comfyui-server/comms_routes
- https://www.runflow.io/blog/comfyui-api-developer-guide
```python
class ComfyUIClient:
"""Thin client for the ComfyUI REST API."""
@@ -114,8 +132,8 @@ class ComfyUIClient:
```
**Why a shared client?** The submit/poll/download cycle is identical across
image, video, and music generation. The only differences are: which workflow
template, which nodes to customize, and which output node to read from.
image and video generation. The only differences are: which workflow template,
which nodes to customize, and which output node to read from.
---
@@ -157,10 +175,18 @@ steps: integer # default 20
seed: integer # optional (random if omitted)
guidance: number # default 3.5
output_path: string # where to save the image
workflow_json: string # optional override (full custom workflow)
workflow_json: string # optional custom workflow; requires output_node
workflow_path: string # optional path to workflow JSON; requires output_node
output_node: string # required for custom workflows
workflow_name: string # optional custom workflow provenance label
workflow_model: string # optional custom model/provenance label
workflow_model_stack: [] # optional custom dependency provenance
```
**get_status():** Pings ComfyUI server. Returns `AVAILABLE` if reachable, `UNAVAILABLE` otherwise.
**get_status():** Pings ComfyUI server and checks bundled FLUX model names via
`/object_info`. Returns `AVAILABLE` when the server and bundled model set are
ready, `DEGRADED` when the server is reachable but bundled models are missing,
and `UNAVAILABLE` when the server cannot be reached.
**execute() flow:**
1. Deep-copy workflow template
@@ -168,6 +194,12 @@ workflow_json: string # optional override (full custom workflow)
3. `client.generate(workflow, output_node="13", dest=output_path)`
4. Return `ToolResult` with artifact path, seed, model info
For custom workflows, the caller must provide `workflow_json` or `workflow_path`
plus `output_node`. The tool does not assume bundled node IDs for custom
workflows, and provenance is reported as user-supplied unless the caller provides
`workflow_model`. Results also include the final workflow SHA-256 hash and, for
bundled workflows, the known model stack.
---
### `comfyui_video` -- Video Generation
@@ -189,6 +221,14 @@ workflow_json: string # optional override (full custom workflow)
1. **`wan22-i2v-4step.json`** -- Image-to-video (WAN 2.2 14B, fp8, 4-step LightX2V LoRA)
2. **`wan22-t2v-4step.json`** -- Text-to-video (WAN 2.2 14B, fp8, 4-step LightX2V LoRA)
These bundled WAN 2.2 14B FP8 workflows are the high-quality profile and
recommend roughly 16GB VRAM. That is not a ComfyUI-wide requirement. The
`comfyui_video` tool's top-level `resource_profile` is an 8GB provider floor so
preflight does not imply ComfyUI itself requires 16GB. Low-VRAM users should use
custom workflows such as Wan 2.1 1.3B, LTX-Video/LTXV FP8 or quantized graphs,
or Wan 2.2 GGUF/quantized community workflows, with shorter frame counts and
lower resolutions as needed.
**I2V workflow -- templated nodes:**
| Node | Class | Templated field |
@@ -211,7 +251,12 @@ height: integer # default 640
num_frames: integer # default 81 (5s at 16fps)
seed: integer # optional
output_path: string # where to save the video
workflow_json: string # optional override
workflow_json: string # optional custom workflow; requires output_node
workflow_path: string # optional path to workflow JSON; requires output_node
output_node: string # required for custom workflows
workflow_name: string # optional custom workflow provenance label
workflow_model: string # optional custom model/provenance label
workflow_model_stack: [] # optional custom dependency provenance
```
**execute() flow (i2v):**
@@ -224,9 +269,16 @@ workflow_json: string # optional override
**execute() flow (t2v):**
1. Deep-copy t2v workflow template
2. Inject prompt, seed, dimensions
3. `client.generate(workflow, output_node="108", dest=output_path, timeout=900)`
3. `client.generate(workflow, output_node="16", dest=output_path, timeout=900)`
4. Return `ToolResult`
`comfyui_video` publishes `operation_statuses` in `get_info()` and implements
`is_operation_available(operation)` for selector routing. This keeps partial
ComfyUI installs useful for the installed mode without advertising unavailable
operation modes as ready. `video_selector` also applies this readiness check
when `operation="rank"` by using `target_operation`, so preflight rankings do
not promote ComfyUI for an operation whose bundled models are missing.
---
### `comfyui_music` -- Music Generation (not shipped)
@@ -238,18 +290,19 @@ different class names (`AceStepModelLoader` vs native `TextEncodeAceStepAudio`,
etc.). Shipping a workflow that only works with one specific custom node
pack would break for most users.
**Future path:** Once a stable, widely-adopted ACE-Step node interface
emerges, or if ComfyUI adds native audio generation support, a
`comfyui_music` tool can be added following the same pattern as the image
and video tools. Users who have ACE-Step working can already use the
`workflow_json` override on any tool to run custom workflows.
**Future path:** ACE-Step support should be revisited once OpenMontage decides
the music-generation routing shape and a portable ComfyUI audio workflow
contract. Current image/video workflow overrides are intentionally scoped to
image and video artifacts, not arbitrary audio workflows.
---
## Workflow Override Mechanism
Every tool accepts an optional `workflow_json` input. When provided, it
replaces the bundled template entirely. This enables:
The image and video tools accept either `workflow_json` or `workflow_path`.
When provided, the custom workflow replaces the bundled template entirely and
the caller must also provide `output_node`. This stricter contract is required
because community workflows use arbitrary node IDs.
- Using newer model checkpoints without code changes
- Custom sampling strategies (different schedulers, step counts, LoRAs)
@@ -259,6 +312,38 @@ replaces the bundled template entirely. This enables:
The agent can also read workflow files from `tools/_comfyui/workflows/` and
modify them programmatically before passing to `execute()`.
Custom workflow result metadata reports `workflow_provenance.source` as
`user_supplied` and uses `workflow_model`, `model`, or `workflow_name` as the
model label when provided. If no custom label is supplied, the model is reported
as `custom-comfyui-workflow` instead of one of the bundled model names. The
provenance payload also records `workflow_hash_sha256`. For user-supplied
workflows, callers should provide `workflow_model_stack` with base model, text
encoder, VAE, LoRAs and strengths, scheduler, steps, and guidance when known.
---
## Agent Skill and Setup Contract
Both ComfyUI tools advertise the Layer 3 `comfyui` skill. Agents must read
`.agents/skills/comfyui/SKILL.md` before calling either tool so they know how to
load community workflows, identify output nodes, handle LoRA loader chains, and
record custom workflow provenance.
Unavailable ComfyUI tools expose a structured `setup_offer` in `get_info()`,
`provider_menu()`, and `provider_menu_summary().setup_offers[]`:
```yaml
kind: local_server
env_var: COMFYUI_SERVER_URL
default_url: http://localhost:8188
health_check: GET /system_stats
```
When bundled models are missing, the tool returns a machine-readable
`data.missing_models[]` list with filename, role, destination hint, and download
URL when OpenMontage knows the canonical source. Agents should surface that
payload rather than parsing prose error text.
---
## Configuration
@@ -298,9 +383,10 @@ using OpenMontage's 7-dimension scoring:
| Latency | Medium | GPU-bound, no network round-trip |
| Continuity | High | Deterministic with seeds |
When ComfyUI is unavailable (server down), the selector falls through to
`fallback_tools` automatically -- API providers like FLUX via fal.ai or
HeyGen take over transparently.
When ComfyUI is unavailable (server down), selectors fall through to other
available providers. When only one video operation is configured, `video_selector`
uses the tool's operation-specific readiness to avoid selecting ComfyUI for the
missing mode.
---
@@ -309,8 +395,21 @@ HeyGen take over transparently.
### Immediate (with existing models)
- **FLUX 2 Dev NVFP4** image generation -- Blackwell-optimized, ~60s per image
- **WAN 2.2 14B** i2v with 4-step acceleration -- ~3.5 min per 5s clip
- **WAN 2.2 14B** t2v (models downloaded, workflow included)
- **WAN 2.2 14B FP8 high-quality profile** i2v with 4-step acceleration -- ~3.5 min per 5s clip, about 16GB VRAM recommended
- **WAN 2.2 14B FP8 high-quality profile** t2v (models downloaded, workflow included), about 16GB VRAM recommended
### Low-VRAM profile
ComfyUI can still be useful on 8GB-12GB GPUs when the user supplies an
appropriate `workflow_json` or `workflow_path`. Good candidates include:
- Wan 2.1 1.3B workflows for lower-memory text-to-video.
- LTX-Video/LTXV FP8 or quantized workflows for fast short clips.
- Wan 2.2 GGUF/quantized community workflows at lower resolution and frame count.
OpenMontage should treat those as custom workflow profiles until a blessed
low-VRAM workflow is bundled. For custom workflows, resource requirements are
workflow-supplied rather than inferred from the bundled WAN 2.2 14B profile.
### Future (add models to ComfyUI, no code changes to OpenMontage)
@@ -337,16 +436,20 @@ compatibility matrices. ComfyUI is the abstraction layer.
| Component | Files | Estimated size |
|-----------|-------|----------------|
| Shared client | `tools/_comfyui/client.py` | ~180 lines |
| Shared metadata | `tools/_comfyui/metadata.py` | setup, model stack, provenance helpers |
| Image tool | `tools/graphics/comfyui_image.py` | ~140 lines |
| Video tool | `tools/video/comfyui_video.py` | ~190 lines |
| Layer 3 skill | `.agents/skills/comfyui/SKILL.md` | usage contract |
| Registry summary | `tools/tool_registry.py` | setup offer surfacing |
| Selector readiness filter | `tools/video/video_selector.py` | small operation-readiness check |
| Workflow templates | `tools/_comfyui/workflows/*.json` | 3 files |
| Tests | `tests/contracts/test_comfyui_tools.py` | ~200 lines |
| Docs | `docs/comfyui-adapter-plan.md` | This file |
**Total:** ~500 lines of Python + 3 workflow JSONs.
No changes to: `base_tool.py`, `tool_registry.py`, any selector, any
existing tool, any pipeline definition, or any schema.
No changes to: `base_tool.py`, existing non-ComfyUI generation providers, any
pipeline definition, or any schema.
---
@@ -363,7 +466,8 @@ existing tool, any pipeline definition, or any schema.
3. **Multi-server:** Should the adapter support multiple ComfyUI instances
(e.g., one for images, one for video) via per-capability URLs?
4. **Music generation:** ACE-Step works in ComfyUI but the node interface
isn't standardized across custom node packs. Need to either wait for
convergence or find a portable workflow pattern. See the `comfyui_music`
section above for details.
4. **Music generation:** ACE-Step works in ComfyUI but OpenMontage needs a
dedicated music-generation routing contract before adding `comfyui_music`.
The follow-up should decide selector integration, audio artifact schemas, and
a portable workflow/output-node contract rather than treating music as a
hidden image/video workflow override.