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ComfyUI

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ComfyUI

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Glossary

comfyanonymous/ComfyUI

Glossary

Project-specific vocabulary you will run into when reading the code or talking to the team.

Graph and execution

Term Meaning
Prompt The JSON object posted to /prompt. Maps node IDs to {class_type, inputs}. Despite the name, it is the entire workflow — text prompts are just one input on a CLIPTextEncode node.
Workflow The frontend's term for a saved graph (with positions, colors, etc.). Stored as JSON. The prompt is the executable subset.
Node A class registered in NODE_CLASS_MAPPINGS (nodes.py). Has INPUT_TYPES, RETURN_TYPES, and a FUNCTION method.
DynamicPrompt The mutable view of a prompt during execution. Supports node expansion — a node can return a sub-graph that gets spliced in. Defined in comfy_execution/graph.py.
Output node A node with OUTPUT_NODE = True. Execution starts from output nodes and walks backward through the DAG.
Lazy input An input declared with lazy: True. Combined with check_lazy_status, lets a node skip evaluating inputs it does not need.
ExecutionBlocker A sentinel value a node can emit to short-circuit a branch without raising.
CacheSet The collection of caches that decides whether a node needs to re-run. See comfy_execution/caching.py and Prompt execution.

Models and weights

Term Meaning
Checkpoint A .ckpt or .safetensors file containing the unet, VAE, and text encoder weights of a model. Loaded via comfy.sd.load_checkpoint_guess_config (comfy/sd.py).
MODEL A loaded diffusion backbone (the unet equivalent), wrapped in a ModelPatcher. The MODEL Comfy IO type passes one of these between nodes.
CLIP A loaded text encoder, also wrapped in a ModelPatcher. Despite the name, the same socket carries T5, Llama, Qwen, and other encoders for non-SD models.
VAE A loaded autoencoder. Wraps multiple architectures via comfy/ldm/.../*vae* modules.
ModelPatcher The class in comfy/model_patcher.py that owns a model's weights, applies "patches" (LoRA, hooks), and shuttles the model between CPU and GPU. The single most central type in comfy/.
LoRA Low-rank adapter weights applied as a ModelPatcher patch. See comfy/lora.py and nodes.LoraLoader.
Hook A scoped, time-bounded patch that activates only for a subset of timesteps or conditioning. See comfy/hooks.py.
Latent The compressed image space that diffusion happens in. A 4D tensor like [B, 4, H/8, W/8] for SD-style models. Carried by the LATENT IO type.
Conditioning A list of (tensor, dict) pairs produced by a text encoder, with optional masks, area, and extra controls. The CONDITIONING IO type.
Sampler A discretization scheme (Euler, DPM++, etc.). Lives in comfy/k_diffusion/sampling.py and comfy/extra_samplers/.
Sigmas The noise schedule values. The SIGMAS IO type carries a 1D tensor of noise levels.
GUIDER A higher-level wrapper that takes a model + conditioning and exposes a predict_noise method. Used by the Custom Sampler node family.

Patching, ops, quantization

Term Meaning
ops A drop-in replacement for torch.nn modules in comfy/ops.py. Each model's nn modules import from comfy.ops instead of torch.nn so weight loading, dtype handling, and offload can hook in.
MixedPrecisionOps The variant of ops that loads selected layers as QuantizedTensors. Activated when a checkpoint declares layer_quant_config. See QUANTIZATION.md and comfy/ops.py.
QuantizedTensor A torch.Tensor subclass that carries quantization metadata (scales, layout). See comfy/quant_ops.py.
VRAMState One of DISABLED / NO_VRAM / LOW_VRAM / NORMAL_VRAM / HIGH_VRAM / SHARED. Set at startup in comfy/model_management.py based on flags and detected hardware.
Async offload Overlapping weight uploads with compute via multiple CUDA streams. Controlled by --async-offload.
DynamicVRAM Newer VRAM scheduler implemented in comfy_aimdo. Activated via enables_dynamic_vram() in comfy/cli_args.py.

Server and frontend

Term Meaning
PromptServer The aiohttp app in server.py that exposes /prompt, /queue, /history, /view, the WebSocket, etc.
Internal routes The /internal/* routes in api_server/routes/internal/internal_routes.py. Considered private to the frontend and not part of the public API.
client_id Identifies a connected WebSocket session. Used to scope progress events.
prompt_id A UUID assigned to a queued prompt. Threads through validation, execution, history, and asset records.
Frontend The Vue/TypeScript SPA in Comfy-Org/ComfyUI_frontend, shipped as a pinned Python package and served from web/.
Manager Comfy-Org/ComfyUI-Manager. Custom-node installer/updater. Optional, gated by --enable-manager.
Subgraph A reusable group of nodes the frontend can collapse into a single visual node. The backend sees an expanded prompt; subgraph metadata is managed in app/subgraph_manager.py.
Blueprint A workflow JSON file shipped under blueprints/ that the frontend can load as a starting point.

Assets and storage

Term Meaning
Asset A file identified by content hash. Stored in the assets table; see app/assets/database/models.py.
AssetReference A name + path + metadata for an asset. One asset can have many references (e.g., the same checkpoint mounted via two paths).
Seeder / scanner The background pair that walks models/, input/, output/ and populates the asset DB. Lives in app/assets/seeder.py and app/assets/scanner.py.
enrichment_level A 0/1/2 tier on AssetReference indicating how much metadata has been computed (size only → MIME → full hash + thumbnail).
Folder paths The model directory registry in folder_paths.py. Maps logical names (checkpoints, loras, vae, …) to lists of disk paths and accepted extensions.

API node ecosystem

Term Meaning
API node A node with API_NODE = True that calls an external paid service (Kling, Veo, Stability, BFL, Ideogram, …). Lives in comfy_api_nodes/. Disabled with --disable-api-nodes.
comfy-api The versioned public surface for custom nodes (comfy_api/latest, comfy_api/v0_0_1, comfy_api/v0_0_2). Includes io, ui, ComfyExtension, video helpers, etc.
V3 schema The newer way to declare nodes via io.Schema(...) and define_schema/execute. Coexists with the V1 (INPUT_TYPES / RETURN_TYPES) style.

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Glossary – ComfyUI wiki | Factory