Shared skills now for all agent and fixed the settings for Gunnar and Hermes

This commit is contained in:
2026-05-09 23:07:15 +02:00
parent bb444759f6
commit e36c9f4ee1
634 changed files with 16 additions and 521 deletions
@@ -0,0 +1,255 @@
# comfy-cli Command Reference
Official CLI from [Comfy-Org/comfy-cli](https://github.com/Comfy-Org/comfy-cli).
Docs: https://docs.comfy.org/comfy-cli/getting-started
## Installation
Order of preference:
```bash
pipx install comfy-cli # recommended (isolated env)
uvx --from comfy-cli comfy --help # zero-install via uv
pip install --user comfy-cli # fallback
```
The skill's `comfyui_setup.sh` picks the best available method.
First run may prompt for analytics. Disable non-interactively:
```bash
comfy --skip-prompt tracking disable
```
## Global Options
| Option | Description |
|--------|-------------|
| `--workspace <path>` | Target a specific ComfyUI workspace |
| `--recent` | Use most recently used workspace |
| `--here` | Use current directory as workspace |
| `--skip-prompt` | No interactive prompts (use defaults) |
| `-v` / `--version` | Print version |
Workspace resolution priority:
1. `--workspace` (explicit path)
2. `--recent` (from config)
3. `--here` (cwd)
4. `comfy set-default` path
5. Most recently used
6. `~/comfy/ComfyUI` (Linux) or `~/Documents/comfy/ComfyUI` (macOS/Win)
## Lifecycle Commands
### `comfy install`
Download and install ComfyUI + ComfyUI-Manager.
```bash
comfy install # interactive GPU selection
comfy install --nvidia
comfy install --amd # ROCm (Linux)
comfy install --m-series # Apple Silicon (MPS)
comfy install --cpu # CPU only (slow)
comfy install --fast-deps # use uv for deps
comfy install --skip-manager # skip ComfyUI-Manager
```
| Option | Description |
|--------|-------------|
| `--nvidia` / `--amd` / `--m-series` / `--cpu` | GPU type |
| `--cuda-version` | 11.8, 12.1, 12.4, 12.6, 12.8, 12.9, 13.0 |
| `--rocm-version` | 6.1, 6.2, 6.3, 7.0, 7.1 |
| `--fast-deps` | uv-based dependency resolution |
| `--skip-manager` | Don't install ComfyUI-Manager |
| `--skip-torch-or-directml` | Skip PyTorch install |
| `--version <ver>` | `0.2.0`, `latest`, `nightly` |
| `--commit <hash>` | Install specific commit |
| `--pr "#1234"` | Install from a PR |
| `--restore` | Restore deps for existing install |
### `comfy launch`
```bash
comfy launch # foreground :8188
comfy launch --background # background daemon
comfy launch -- --listen 0.0.0.0 # LAN-accessible
comfy launch -- --port 8190 # custom port
comfy launch -- --cpu # force CPU mode
comfy launch -- --lowvram # 6 GB cards
comfy launch --background -- --listen 0.0.0.0 --port 8190
```
Common extra args after `--`: `--listen`, `--port`, `--cpu`, `--lowvram`,
`--novram`, `--fp16-vae`, `--force-fp32`, `--disable-cuda-malloc`.
### `comfy stop`
```bash
comfy stop
```
### `comfy run`
Submit a raw workflow JSON to a running server. **Limited** — no parameter
injection, no structured output download. For agents, use
`scripts/run_workflow.py` instead.
```bash
comfy run --workflow workflow_api.json
comfy run --workflow workflow_api.json --host 10.0.0.5 --port 8188
comfy run --workflow workflow_api.json --timeout 300 --wait
```
### `comfy which`
```bash
comfy which # show targeted workspace
comfy --recent which
```
### `comfy set-default`
```bash
comfy set-default /path/to/ComfyUI
comfy set-default /path/to/ComfyUI --launch-extras="--listen 0.0.0.0"
```
### `comfy update`
```bash
comfy update # update ComfyUI core
comfy node update all # update all custom nodes
```
---
## `comfy node` — Custom Node Management
All node operations use ComfyUI-Manager (`cm-cli`) under the hood.
```bash
comfy node show installed # list installed
comfy node show enabled # list enabled
comfy node show all # all available in registry
comfy node simple-show installed # compact list
comfy node install comfyui-impact-pack
comfy node install <name> --uv-compile # ComfyUI-Manager v4.1+ unified resolver
comfy node uninstall <name>
comfy node update <name> | all
comfy node enable <name>
comfy node disable <name>
comfy node fix <name> # fix broken deps
comfy node install-deps --workflow=workflow.json
comfy node deps-in-workflow --workflow=w.json --output=deps.json
comfy node save-snapshot
comfy node restore-snapshot <file>
comfy node bisect start # binary-search a culprit node
comfy node bisect good
comfy node bisect bad
comfy node bisect reset
```
### Dependency Resolution Options
| Flag | Description |
|------|-------------|
| `--fast-deps` | comfy-cli built-in uv resolver |
| `--uv-compile` | ComfyUI-Manager v4.1+ unified resolver (recommended) |
| `--no-deps` | Skip dep installation |
Make `uv-compile` default: `comfy manager uv-compile-default true`
---
## `comfy model` — Model Management
```bash
comfy model list
comfy model list --relative-path models/checkpoints
comfy model download --url <URL>
comfy model download --url <URL> --relative-path models/loras
comfy model download --url <URL> --filename custom_name.safetensors
comfy model remove # interactive
comfy model remove --relative-path models/checkpoints --model-names "model.safetensors"
```
| Option | Description |
|--------|-------------|
| `--url` | Download URL (CivitAI, HuggingFace, direct) |
| `--relative-path` | Subdirectory under workspace (e.g. `models/checkpoints`) |
| `--filename` | Custom save filename |
| `--set-civitai-api-token` | Persist CivitAI token |
| `--set-hf-api-token` | Persist HuggingFace token |
| `--downloader` | `httpx` (default) or `aria2` |
Standard model directories:
```
ComfyUI/models/
├── checkpoints/ # Full model files
├── loras/ # LoRA adapters
├── vae/ # VAE models
├── controlnet/ # ControlNet models
├── clip/ # CLIP / T5 text encoders
├── clip_vision/ # CLIP vision encoders
├── upscale_models/ # ESRGAN / SwinIR / etc.
├── embeddings/ # Textual inversion embeddings
├── unet/ # Standalone UNet weights
├── diffusion_models/ # Flux / SD3 / Wan diffusion models
├── animatediff_models/ # AnimateDiff motion modules
├── ipadapter/ # IPAdapter weights
└── style_models/ # Style adapters
```
---
## `comfy manager` — ComfyUI-Manager Settings
```bash
comfy manager disable # disable Manager completely
comfy manager enable-gui # enable new GUI
comfy manager disable-gui # API-only
comfy manager enable-legacy-gui # legacy GUI
comfy manager uv-compile-default true # make --uv-compile the default
comfy manager clear # clear startup action
```
---
## `comfy pr-cache` — Frontend PR Cache
```bash
comfy pr-cache list
comfy pr-cache clean
comfy pr-cache clean 456
```
Cache expires after 7 days; max 10 builds.
---
## Configuration
| OS | Path |
|----|------|
| Linux | `~/.config/comfy-cli/config.ini` |
| macOS | `~/Library/Application Support/comfy-cli/config.ini` |
| Windows | `~/AppData/Local/comfy-cli/config.ini` |
Stores: default workspace, recent workspace, background server PID, API
tokens, manager GUI mode, launch extras.
## Discovery
Custom-node registry:
- https://registry.comfy.org/
Model browsers:
- https://huggingface.co/models
- https://civitai.com (NSFW; requires API token for many)
- https://comfyworkflows.com (community workflows)
@@ -0,0 +1,312 @@
# ComfyUI REST + WebSocket API Reference
ComfyUI exposes a REST + WebSocket interface for workflow execution and
management. **The same surface is used locally and on Comfy Cloud, with
auth/path differences.**
## Connection
| | Local ComfyUI | Comfy Cloud |
|---|---|---|
| Base URL | `http://127.0.0.1:8188` | `https://cloud.comfy.org` |
| API path prefix | none (`/prompt`, `/view`, …) | `/api/...` (`/api/prompt`, `/api/view`, …) |
| Auth | none (or bearer token if configured) | `X-API-Key` header |
| WebSocket | `ws://host:port/ws?clientId={uuid}` | `wss://cloud.comfy.org/ws?clientId={uuid}&token={API_KEY}` |
| `/api/view` response | direct bytes | 302 redirect → signed URL (use `curl -L`) |
The skill scripts route URLs automatically via `_common.resolve_url()`.
## Endpoint differences on Comfy Cloud
The cloud surface diverges from local ComfyUI in several ways. The skill
scripts handle these transparently; document them here so anyone calling
`curl` directly knows.
| Local path | Cloud path | Notes |
|------------|-----------|-------|
| `/system_stats` | `/api/system_stats` | Cloud version is **public** (no auth required) |
| `/object_info` | `/api/object_info` | **Paid tier only** — free returns 403 |
| `/queue` | `/api/queue` | Paid tier only |
| `/userdata` | `/api/userdata` | Paid tier only |
| `/prompt` (POST) | `/api/prompt` (POST) | Paid tier only |
| `/upload/image` | `/api/upload/image` | Paid tier only; `subfolder` accepted but ignored |
| `/upload/mask` | `/api/upload/mask` | Same as above |
| `/view` | `/api/view` | Paid tier only; **returns 302** to signed URL |
| `/history` | `/api/history_v2` | **Renamed**; old path returns 404 |
| `/history/{id}` | `/api/history_v2/{id}` or `/api/jobs/{id}` | Both work; `/jobs` returns full job |
| `/models` | `/api/experiment/models` | **Renamed** |
| `/models/{folder}` | `/api/experiment/models/{folder}` | **Renamed**; response shape differs (see below) |
### Cloud model-list response shape
- **Local:** `["a.safetensors", "b.safetensors", …]` — flat list of strings.
- **Cloud:** `[{"name": "a.safetensors", "pathIndex": 0}, …]` — list of objects.
- **Cloud 404 with `code: "folder_not_found"`** — folder is empty or unknown,
not an "endpoint missing" error. Distinguish by reading the body.
The skill helper `_common.parse_model_list()` normalizes both.
## Workflow Execution
### Submit Workflow
```bash
# Local
curl -X POST "http://127.0.0.1:8188/prompt" \
-H "Content-Type: application/json" \
-d '{"prompt": '"$(cat workflow_api.json)"', "client_id": "'"$(uuidgen)"'"}'
# Cloud
curl -X POST "https://cloud.comfy.org/api/prompt" \
-H "X-API-Key: $COMFY_CLOUD_API_KEY" \
-H "Content-Type: application/json" \
-d '{"prompt": '"$(cat workflow_api.json)"'}'
```
**Response:**
```json
{"prompt_id": "abc-123-def", "number": 1, "node_errors": {}}
```
If `node_errors` is non-empty, the workflow has validation errors (missing
nodes, bad inputs).
### Check Job Status (Cloud)
```bash
curl -X GET "https://cloud.comfy.org/api/job/{prompt_id}/status" \
-H "X-API-Key: $COMFY_CLOUD_API_KEY"
```
| Status | Description |
| ------------- | ---------------------------------- |
| `pending` | Job is queued and waiting to start |
| `in_progress` | Job is currently executing |
| `completed` | Job finished successfully |
| `failed` | Job encountered an error |
| `cancelled` | Job was cancelled by user |
### Job detail with outputs (Cloud)
```bash
curl -X GET "https://cloud.comfy.org/api/jobs/{prompt_id}" \
-H "X-API-Key: $COMFY_CLOUD_API_KEY"
```
Response includes `outputs` keyed by node ID. Cloud uses `video` (singular)
in the output structure; local uses `videos` (plural). The skill scripts
accept both.
### Get History (Local)
```bash
curl -s "http://127.0.0.1:8188/history" # all
curl -s "http://127.0.0.1:8188/history/{id}" # one prompt_id
```
Local entry shape:
```json
{
"<prompt_id>": {
"prompt": [...],
"outputs": {"<node_id>": {"images": [...]}},
"status": {
"status_str": "success" | "error",
"completed": true | false,
"messages": [["execution_start", {...}], ["execution_error", {...}], ]
}
}
}
```
**Important:** when reading status, check `status_str == "error"` BEFORE
checking `completed`, because both can be true for failed runs.
### Download Output
```bash
# Local (direct bytes)
curl -s "http://127.0.0.1:8188/view?filename=ComfyUI_00001_.png&subfolder=&type=output" \
-o output.png
# Cloud (302 → signed URL; -L follows; STRIP X-API-Key for the second hop)
curl -L "https://cloud.comfy.org/api/view?filename=...&type=output" \
-H "X-API-Key: $COMFY_CLOUD_API_KEY" \
-o output.png
```
The skill's `run_workflow.py` strips `X-API-Key` automatically on the
cross-host redirect, so the signed URL never sees your auth.
## WebSocket Monitoring
Connect for real-time execution events.
```bash
# Local
wscat -c "ws://127.0.0.1:8188/ws?clientId=MY-UUID"
# Cloud
wscat -c "wss://cloud.comfy.org/ws?clientId=MY-UUID&token=$COMFY_CLOUD_API_KEY"
```
**Note:** on Cloud the `clientId` is currently ignored — all messages for a
user are broadcast to every connection. Filter messages client-side by
`data.prompt_id`.
### JSON Message Types
| Type | When | Key Fields |
|------|------|------------|
| `status` | Queue change | `status.exec_info.queue_remaining` |
| `notification` | User-friendly status string | `value` |
| `execution_start` | Workflow begins | `prompt_id` |
| `executing` | Node running (or end-of-run if `node` is null on local) | `node`, `prompt_id` |
| `progress` | Sampling steps | `node`, `value`, `max` |
| `progress_state` | Extended progress with per-node metadata | `nodes` (dict) |
| `executed` | Node output ready | `node`, `output` (with `images`/`video`/etc.) |
| `execution_cached` | Nodes skipped because of cache | `nodes` (list of IDs) |
| `execution_success` | All done | `prompt_id` |
| `execution_error` | Failure | `exception_type`, `exception_message`, `traceback`, `node_id` |
| `execution_interrupted` | Cancelled | `prompt_id` |
### Binary Frames (Preview Images)
| Type code | Meaning |
|-----------|---------|
| `0x00000001` | `PREVIEW_IMAGE``[type:4][image_type:4][data]` (image_type 1=JPEG, 2=PNG) |
| `0x00000003` | `TEXT``[type:4][nid_len:4][nid][text]` (UTF-8) |
| `0x00000004` | `PREVIEW_IMAGE_WITH_METADATA``[type:4][meta_len:4][json][image_data]` |
`scripts/ws_monitor.py --previews <dir>` saves preview frames to disk.
## File Upload
```bash
# Image
curl -X POST "http://127.0.0.1:8188/upload/image" \
-F "image=@photo.png" -F "type=input" -F "overwrite=true"
# Returns: {"name": "photo.png", "subfolder": "", "type": "input"}
# Mask (linked to a previously uploaded image)
curl -X POST "http://127.0.0.1:8188/upload/mask" \
-F "image=@mask.png" -F "type=input" \
-F 'original_ref={"filename":"photo.png","subfolder":"","type":"input"}'
```
Cloud equivalent: prepend `https://cloud.comfy.org/api` and add `-H "X-API-Key: $COMFY_CLOUD_API_KEY"`.
## Node & Model Discovery
```bash
# All node types and their input specs
curl -s "http://127.0.0.1:8188/object_info" | python3 -m json.tool
# Specific node
curl -s "http://127.0.0.1:8188/object_info/KSampler"
# Models per folder (local)
curl -s "http://127.0.0.1:8188/models/checkpoints"
curl -s "http://127.0.0.1:8188/models/loras"
# Models per folder (cloud — note the experimental prefix)
curl -s "https://cloud.comfy.org/api/experiment/models/checkpoints" \
-H "X-API-Key: $COMFY_CLOUD_API_KEY"
```
## Queue Management
```bash
# View queue
curl -s "http://127.0.0.1:8188/queue"
# Clear all pending
curl -X POST "http://127.0.0.1:8188/queue" \
-H "Content-Type: application/json" \
-d '{"clear": true}'
# Delete specific items
curl -X POST "http://127.0.0.1:8188/queue" \
-H "Content-Type: application/json" \
-d '{"delete": ["prompt_id_1", "prompt_id_2"]}'
# Cancel currently-running job
curl -X POST "http://127.0.0.1:8188/interrupt"
```
## System Management
```bash
# Stats (VRAM, RAM, GPU, ComfyUI version)
curl -s "http://127.0.0.1:8188/system_stats"
# Free GPU memory
curl -X POST "http://127.0.0.1:8188/free" \
-H "Content-Type: application/json" \
-d '{"unload_models": true, "free_memory": true}'
```
## ComfyUI-Manager Endpoints (Optional)
These require ComfyUI-Manager installed. Useful for installing nodes/models
via the API instead of `comfy-cli`.
```bash
# Install a custom node from a git URL
curl -X POST "http://127.0.0.1:8188/manager/queue/install" \
-H "Content-Type: application/json" \
-d '{"git_url": "https://github.com/user/comfyui-node.git"}'
# Check install queue status
curl -s "http://127.0.0.1:8188/manager/queue/status"
# Install model
curl -X POST "http://127.0.0.1:8188/manager/queue/install_model" \
-H "Content-Type: application/json" \
-d '{"url": "https://...", "path": "models/checkpoints", "filename": "model.safetensors"}'
```
## POST /prompt Payload Format
```json
{
"prompt": {
"3": {
"class_type": "KSampler",
"inputs": {
"seed": 42,
"steps": 20,
"cfg": 7.5,
"sampler_name": "euler",
"scheduler": "normal",
"denoise": 1.0,
"model": ["4", 0],
"positive": ["6", 0],
"negative": ["7", 0],
"latent_image": ["5", 0]
}
}
},
"client_id": "unique-uuid-for-ws-filtering",
"extra_data": {
"api_key_comfy_org": "optional-PARTNER-NODE-key (NOT the cloud auth key)"
}
}
```
- `prompt`: workflow graph in API format
- `client_id`: UUID — local server uses it to filter WebSocket events; cloud
ignores it.
- `extra_data.api_key_comfy_org`: ONLY required when the workflow uses
partner nodes (Flux Pro, Ideogram, etc.). Don't conflate with `X-API-Key`.
## Error Categories (cloud `execution_error` `exception_type`)
| Type | Meaning |
|------|---------|
| `ValidationError` | Bad workflow / inputs (often nicer to surface from `node_errors`) |
| `ModelDownloadError` | Required model not available |
| `ImageDownloadError` | Failed to fetch input image from URL |
| `OOMError` | Out of GPU memory |
| `InsufficientFundsError` | Account balance too low (partner nodes) |
| `InactiveSubscriptionError` | Subscription not active |
@@ -0,0 +1,226 @@
# ComfyUI Workflow JSON Format
## Two Formats — Only API Format Is Executable
**API format** is required for `/api/prompt` and every script in this skill.
The web UI also produces an "editor format" used for visual editing, which
**cannot** be submitted directly.
### API Format
Top-level keys are string node IDs. Each node has `class_type` and `inputs`:
```json
{
"3": {
"class_type": "KSampler",
"inputs": {
"seed": 156680208700286,
"steps": 20,
"cfg": 8,
"sampler_name": "euler",
"scheduler": "normal",
"denoise": 1.0,
"model": ["4", 0],
"positive": ["6", 0],
"negative": ["7", 0],
"latent_image": ["5", 0]
},
"_meta": {"title": "KSampler"}
},
"4": {
"class_type": "CheckpointLoaderSimple",
"inputs": {"ckpt_name": "v1-5-pruned-emaonly.safetensors"}
}
}
```
**Detection:** every top-level value has `class_type`. The skill's
`_common.is_api_format()` does this check.
### Editor Format (not directly executable)
Has `nodes[]` and `links[]` arrays — the visual graph. To convert: open in
ComfyUI's web UI and use **Workflow → Export (API)** (newer UI) or the
"Save (API Format)" button (older UI).
**Detection:** top-level has `"nodes"` and `"links"` keys.
## Inputs: Literals vs Links
```json
"inputs": {
"text": "a cat", // literal — modifiable
"seed": 42, // literal — modifiable
"clip": ["4", 1] // link — wiring; do NOT overwrite
}
```
Links are length-2 arrays of `[upstream_node_id, output_slot]`. The skill's
parameter injector refuses to overwrite a link with a literal (logs a
warning and skips).
## Common Node Types and Their Controllable Parameters
The full catalog lives in `scripts/_common.py` (`PARAM_PATTERNS` and
`MODEL_LOADERS`). Highlights:
### Text Prompts
| Node Class | Key Fields |
|------------|------------|
| `CLIPTextEncode` | `text` |
| `CLIPTextEncodeSDXL` | `text_g`, `text_l`, `width`, `height` |
| `CLIPTextEncodeFlux` | `clip_l`, `t5xxl`, `guidance` |
To distinguish positive from negative the skill traces `KSampler.negative`
back through Reroute / Primitive nodes to the source CLIPTextEncode. Falls
back to `_meta.title` heuristics ("negative", "neg", "anti").
### Sampling
| Node Class | Key Fields |
|------------|------------|
| `KSampler` | `seed`, `steps`, `cfg`, `sampler_name`, `scheduler`, `denoise` |
| `KSamplerAdvanced` | `noise_seed`, `steps`, `cfg`, `start_at_step`, `end_at_step` |
| `SamplerCustom` | `noise_seed`, `cfg`, `sampler`, `sigmas` |
| `SamplerCustomAdvanced` | `noise_seed` (via RandomNoise input) |
| `RandomNoise` | `noise_seed` |
| `BasicScheduler` | `steps`, `scheduler`, `denoise` |
| `KSamplerSelect` | `sampler_name` |
| `BasicGuider` / `CFGGuider` | `cfg` |
| `ModelSamplingFlux` | `max_shift`, `base_shift`, `width`, `height` |
| `SDTurboScheduler` | `steps`, `denoise` |
### Latent / Dimensions
| Node Class | Key Fields |
|------------|------------|
| `EmptyLatentImage` | `width`, `height`, `batch_size` |
| `EmptySD3LatentImage` | `width`, `height`, `batch_size` |
| `EmptyHunyuanLatentVideo` | `width`, `height`, `length`, `batch_size` |
| `EmptyMochiLatentVideo` | `width`, `height`, `length`, `batch_size` |
| `EmptyLTXVLatentVideo` | `width`, `height`, `length`, `batch_size` |
### Model Loading
| Node Class | Key Fields | Folder |
|------------|------------|--------|
| `CheckpointLoaderSimple` | `ckpt_name` | `checkpoints` |
| `LoraLoader` | `lora_name`, `strength_model`, `strength_clip` | `loras` |
| `LoraLoaderModelOnly` | `lora_name`, `strength_model` | `loras` |
| `VAELoader` | `vae_name` | `vae` |
| `ControlNetLoader` | `control_net_name` | `controlnet` |
| `CLIPLoader` | `clip_name` | `clip` |
| `DualCLIPLoader` | `clip_name1`, `clip_name2` | `clip` |
| `TripleCLIPLoader` | `clip_name1/2/3` | `clip` |
| `UNETLoader` | `unet_name` | `unet` |
| `DiffusionModelLoader` | `model_name` | `diffusion_models` |
| `UpscaleModelLoader` | `model_name` | `upscale_models` |
| `IPAdapterModelLoader` | `ipadapter_file` | `ipadapter` |
| `ADE_AnimateDiffLoaderWithContext` | `model_name`, `motion_scale` | `animatediff_models` |
### Image Input/Output
| Node Class | Key Fields |
|------------|------------|
| `LoadImage` | `image` (server-side filename, after upload) |
| `LoadImageMask` | `image`, `channel` (`red` / `green` / `blue` / `alpha`) |
| `VAEEncode` / `VAEDecode` | (no controllable fields) |
| `VAEEncodeForInpaint` | `grow_mask_by` |
| `SaveImage` | `filename_prefix` |
| `VHS_VideoCombine` | `frame_rate`, `format`, `filename_prefix`, `loop_count`, `pingpong` |
### ControlNet
| Node Class | Key Fields |
|------------|------------|
| `ControlNetApply` | `strength` |
| `ControlNetApplyAdvanced` | `strength`, `start_percent`, `end_percent` |
### IPAdapter (community pack `comfyui_ipadapter_plus`)
| Node Class | Key Fields |
|------------|------------|
| `IPAdapterAdvanced` | `weight`, `start_at`, `end_at` |
| `IPAdapter` | `weight` |
### Embeddings (referenced inside prompt strings)
ComfyUI scans prompt text for `embedding:NAME` syntax. The skill's
`_common.iter_embedding_refs()` extracts these as model dependencies.
```text
"a beautiful cat, embedding:goodvibes:1.2, embedding:art-style"
```
`extract_schema.py` and `check_deps.py` surface these in
`embedding_dependencies` / `missing_embeddings`.
## Parameter Injection Pattern
```python
import json, copy
with open("workflow_api.json") as f:
workflow = json.load(f)
wf = copy.deepcopy(workflow)
wf["6"]["inputs"]["text"] = "a beautiful sunset"
wf["7"]["inputs"]["text"] = "ugly, blurry"
wf["3"]["inputs"]["seed"] = 42
wf["3"]["inputs"]["steps"] = 30
wf["5"]["inputs"]["width"] = 1024
wf["5"]["inputs"]["height"] = 1024
```
`scripts/extract_schema.py` automates discovering which node IDs/fields
correspond to which user-facing parameters. It returns a `parameters` dict
that `run_workflow.py` reads to inject values from `--args`.
## Identifying Controllable Parameters (Heuristics)
For unknown workflows:
1. **Prompt text** — any `CLIPTextEncode.text`. Use connection tracing back
from `KSampler.positive` / `.negative` to disambiguate (don't trust
meta-title alone).
2. **Seed**`KSampler.seed` / `KSamplerAdvanced.noise_seed` / `RandomNoise.noise_seed`.
3. **Dimensions**`Empty*LatentImage.width/height` (must be multiples of 8).
4. **Steps / CFG**`KSampler.steps`, `KSampler.cfg`. Steps 2050 typical.
CFG 515 typical (Flux uses guidance, not CFG).
5. **Model / checkpoint**`CheckpointLoaderSimple.ckpt_name`. Filename must
match an installed file *exactly*.
6. **LoRA**`LoraLoader.lora_name`, `.strength_model`.
7. **Images for img2img / inpaint**`LoadImage.image`. Server-side filename
after upload.
8. **Denoise**`KSampler.denoise`. 0.01.0; 1.0 = ignore input image,
0.0 = pass through. Sweet spot for img2img: 0.40.7.
## Output Nodes
Output is produced by these node types. The skill's `OUTPUT_NODES` set
extends to common community packs.
| Node | Output Key | Content |
|------|-----------|---------|
| `SaveImage` | `images` | List of `{filename, subfolder, type}` |
| `PreviewImage` | `images` | Temporary preview (not saved) |
| `VHS_VideoCombine` | `gifs` (older) or `videos`/`video` (newer cloud) | Video file refs |
| `SaveAudio` | `audio` | Audio file refs |
| `SaveAnimatedWEBP` / `SaveAnimatedPNG` | `images` | Animated images |
| `Save3D` | `3d` | 3D asset refs |
After execution, fetch outputs from `/history/{prompt_id}` (local) or
`/api/jobs/{prompt_id}` (cloud) → `outputs``{node_id}``{key}`.
## Wrapper Variants
Some saved JSON files wrap the workflow under a `"prompt"` key (matching
the `/api/prompt` payload shape). The skill's `_common.unwrap_workflow()`
handles this — pass any of:
- raw API format: `{"3": {...}, "4": {...}}`
- wrapped: `{"prompt": {"3": {...}}, "client_id": "..."}`
It rejects editor format with a clear error and a re-export instruction.