# BV Node Pack for ComfyUI ![BV Node Pack hero](docs/assets/registry/bv-nodepack-banner.png) BV Node Pack is a collection of deep workflow tools for **regional prompting**, **structured prompts**, **Smart Pipes**, **Subgraph interfaces**, reusable graph controls and deterministic latent utilities. The pack targets current ComfyUI workflows and treats stable data contracts, Subgraph behavior and graceful failure as first-class features. > [!NOTE] > **AI-assisted development:** BV Node Pack was created with extensive assistance > from generative AI during architecture exploration, implementation, debugging, > testing and documentation. Product direction, requirements, technical decisions, > code review and validation in real ComfyUI workflows remain human-led. This > project does not claim to be solely hand-written; AI-assisted contributions are > reviewed and tested before publication. > BV Node Pack includes frontend extensions. Restart ComfyUI and hard-refresh the > browser after installing or updating so Python nodes and JavaScript stay in sync. ## Highlights | Feature | What it solves | | --- | --- | | [Regional Editor](#regional-prompting) | Author named rectangle, ellipse, polygon and brush regions with additive/subtractive geometry, binary mask inspection and live tool previews | | [Prompt Autocomplete](#prompt-autocomplete) | Local, optional CSV/TSV completion in BV editors and ordinary ComfyUI multiline fields | | [Prompt AST](#structured-prompt-ast) | Filter and reuse semantic prompt blocks without fragile string replacement | | [Smart Pipe](#smart-pipes) | Grow typed workflow state through wired or wireless branches while retaining stable slot identity | | [Subgraph UI](#subgraph-interface-nodes) | Project headings, dividers, spacers and controlled choices onto purpose-built Subgraphs | | [Control Center](#workflow-control) | Switch named graph stages between activate, mute and bypass with deterministic conflict handling | ## Installation ### ComfyUI Manager Search for **BV Node Pack** in the Custom Nodes Manager / Extensions view and install it. ### Git ```bash cd ComfyUI/custom_nodes git clone https://github.com/BlackVortexAI/bv_nodepack.git ``` Restart ComfyUI, then hard-refresh the browser with **Ctrl + F5**. ### Update ```bash cd ComfyUI/custom_nodes/bv_nodepack git pull ``` Restart ComfyUI after updates. To uninstall, remove the `bv_nodepack` directory, restart ComfyUI and hard-refresh the browser. ## Regional prompting ![BV Regional Editor with overlapping rectangle and brush regions](docs/assets/regional/regional-editor-title.png) The model-neutral `BV_REGIONAL` document separates authoring from execution. The editor stores prompts, geometry and stable identities; compiler nodes translate that document for a particular model/backend. [![Anima regional prompting result](examples/images/anima-android-dance-regional-showcase.png)](examples/images/anima-android-dance-regional-showcase.png) This Anima example uses two independently conditioned androids, small overlapping interaction rectangles around their hands and a painted light-arc region. The character prompts do not encode left/right placement; the regional document supplies the spatial guidance. [Download the workflow PNG](examples/images/anima-android-dance-regional-showcase.png) · [Download the regional document](docs/examples/anima-android-dance-regional-showcase.bv-regional.json) > [!IMPORTANT] > Regional conditioning is spatial guidance, not a hard segmentation or layout > constraint. A model can extend subjects beyond a region, move an interaction, > blend attributes or ignore part of the requested composition. `joint` overlap > lets overlapping pixels attend to multiple regional contexts; it does not force > the depicted subjects to interact. Region strength changes conditioning influence, > not boundary strictness. > > Reliable results come from the combination of clear prompt engineering, region > geometry and overlap suited to the actual spatial task, and the model's learned > priors. Attention routing guides the composition; it does not make an implausible > layout deterministic. ### Core workflow 1. Add **BV Regional Prompt** and open it from the node or BV toolbar action. 2. Define Global and Background prompts. 3. Add regions, then draw rectangles or additive/subtractive brush layers. 4. Connect `regional` to a compiler: - **BV Regional Native Conditioning** for standard masked ComfyUI conditioning; - **BV Regional SDXL Attention** for model-internal cross-attention routing on compatible SDXL checkpoints; - **BV Regional Z-Image Attention** for joint-attention routing on Z-Image Turbo; - **BV Regional FLUX.2 Klein 9B Attention** for exact-architecture joint-attention routing on FLUX.2 Klein 9B; - **BV Regional Krea 2 Attention (Experimental)** for main single-stream joint-attention routing on Krea 2; - **BV Regional Anima Conditioning** for the built-in Anima attention backend; - **BV Regional Color Control Image** for a model-neutral solid RGB control image; - **BV Regional Anima LLLite** to load and apply a local Anima LLLite model patch through ComfyUI core. 5. Connect `patched_model`/`positive`/`negative` to a standard KSampler. 6. Optionally return the latest image through **Preview Send** or **Save Send**. The editor supports additive and subtractive rectangles, ellipses, polygons and brushes, live tool outlines with pixel dimensions, a resolved binary-mask inspection mode, overlap, priority ordering, undo/redo, multi-selection, lossless compound-layer merging, resolution-aware disconnected-area splitting, layer controls, zoom, pan, WYSIWYG aspect ratios, document import/export and persistent per-document UI state. Read the illustrated **[Regional Editor Guide](docs/regional-editor-guide.md)** for tools, prompts, model behavior, image feedback, document utilities and current limits.

Open the editor and use Quick Edit

The node exposes both entry points directly: ![BV Regional Prompt node](docs/assets/regional/regional-prompt-node.png) The same actions are available from the ComfyUI toolbar for the currently selected regional document: ![BV toolbar actions](docs/assets/regional/toolbar-actions.png) ![Open editor toolbar action](docs/assets/regional/toolbar-editor-hover.png) ![Quick Edit toolbar action](docs/assets/regional/toolbar-quick-hover.png) Quick Edit provides prompt-only access without opening the artboard: ![Regional Quick Edit](docs/assets/regional/quick-edit.png)

Workspace, floating mode and display controls

![Regional Editor workspace mode](docs/assets/regional/editor-workspace.png) ![Regional Editor floating mode](docs/assets/regional/editor-floating.png) Mask visibility and background-image opacity are editor-only display settings: ![Regional Editor display controls](docs/assets/regional/view-controls.png)

Rectangles, interaction overlap and brush regions

Each character uses a main rectangle plus an independently selectable interaction rectangle. The brush region demonstrates a non-rectangular light arc. ![Cyan character main region](docs/assets/regional/region-cyan-main.png) ![Cyan interaction region](docs/assets/regional/region-cyan-interaction.png) ![Amber character main region](docs/assets/regional/region-amber-main.png) ![Amber interaction region](docs/assets/regional/region-amber-interaction.png) ![Painted light arc region](docs/assets/regional/region-brush-arc.png)

Minimal Anima workflow

![Anima regional workflow](docs/assets/regional/anima-workflow.png)

### Regional node family | Node | Purpose | | --- | --- | | BV Regional Prompt | Owns and outputs the serialized `BV_REGIONAL` document | | BV Regional Native Conditioning | Compiles Global, Background and region masks into standard conditioning | | BV Regional SDXL Attention | Routes Global, Background and regional text contexts inside SDXL cross-attention; verified with WAI Illustrious SDXL and Pony Diffusion V6 XL | | BV Regional Z-Image Attention | Routes Global, Background and regional text contexts through Z-Image Turbo joint attention and emits KSampler-ready zero negative conditioning | | BV Regional FLUX.2 Klein 9B Attention | Routes Global, Background and regional text contexts through the exact FLUX.2 Klein 9B joint-attention architecture and emits sampler-ready zero negative conditioning | | BV Regional Krea 2 Attention (Experimental) | Routes Global, Background and regional text contexts through Krea 2's 28 main single-stream attention blocks; four upstream text-fusion blocks remain global | | BV Regional Anima Conditioning | Applies the built-in Anima attention patch and emits KSampler-ready outputs | | BV Regional Anima Adapter | Optional compatibility path for the external Anima regional node pack | | BV Regional Color Control Image | Renders enabled regions as stable solid colors on white; P0 wins overlaps | | BV Regional Anima LLLite | Loads a local Anima LLLite `MODEL_PATCH`, applies the rendered color control and emits the patched model plus debug image/legend | | BV Regional Preview Send | Sends a temporary image preview to a selected editor | | BV Regional Save Send | Saves and sends the same image to a selected editor | | BV Regional Debug | Shows canonical JSON, a summary and `document_id` | | BV Regional Select | Selects Global, Background or one region | | BV Regional Deconstructor | Exposes AST, text, source and reusable selection data | | BV Regional Prompt Extract | Extracts positive/negative prompt representations | | BV Regional Mask Render | Renders a selected mask and pixel bounding box | ### SDXL attention routing **BV Regional SDXL Attention** patches a cloned SDXL model and routes independently encoded text slots through cross-attention. Global text remains available everywhere, Background text is limited to uncovered pixels, and each regional text slot is exposed inside its rendered mask. `joint` overlaps expose every participating region. The node returns a patched model plus positive and negative conditioning for a standard KSampler. The backend is architecture-based rather than checkpoint-specific. It is interactively verified with [WAI Illustrious SDXL v1.70](https://civitai.com/models/827184/wai-illustrious-sdxl?modelVersionId=2883731) and [Pony Diffusion V6 XL](https://civitai.com/models/257749/pony-diffusion-v6-xl?modelVersionId=290640). Other SDXL-family checkpoints are expected to use the same seam, but remain unverified until tested. Non-SDXL models are rejected instead of being patched speculatively. Recommended starting values are Attention Strength `1.0`, Start `0.0`, End `0.5`. The active interval controls how long spatial routing is applied; it is not equivalent to region strength. Attention routing remains generative guidance, not hard segmentation. Attention Strength `0` does not bypass the backend: it hides regional and Background slots while leaving Global context active. Bypass the node for a true unpatched A/B run.

WAI Illustrious SDXL — Attention versus untuned Native baseline

The comparison used the same regional document, seed `486012994155188`, checkpoint, sampler, scheduler, steps, CFG and resolution. Native Conditioning was intentionally used without model-specific strength or mask tuning. The evidence therefore shows better out-of-the-box separation, not that Native Conditioning cannot be improved. | SDXL Attention | Native masked conditioning | | --- | --- | | ![Illustrious with SDXL attention routing](docs/assets/regional/sdxl-illustrious-attention.png) | ![Illustrious with untuned native conditioning](docs/assets/regional/sdxl-illustrious-native.png) | ![Illustrious regional editor geometry](docs/assets/regional/sdxl-illustrious-editor.png) | Attention workflow | Native workflow | | --- | --- | | ![Illustrious SDXL attention workflow](docs/assets/regional/sdxl-illustrious-workflow.png) | ![Illustrious native conditioning workflow](docs/assets/regional/sdxl-illustrious-native-workflow.png) |

Pony Diffusion V6 XL — Attention versus untuned Native baseline

Pony was tested through the same generic SDXL backend. Attention routing kept the contrasting hair and clothing concepts more distinct. The untuned Native result kept rough left/right color placement but harmonized both subjects toward a shared design. Prompt style and overall rendering remain checkpoint behavior, not backend guarantees. | SDXL Attention | Native masked conditioning | | --- | --- | | ![Pony V6 XL with SDXL attention routing](docs/assets/regional/sdxl-pony-attention.png) | ![Pony V6 XL with untuned native conditioning](docs/assets/regional/sdxl-pony-native.png) | | Attention geometry | Native geometry | | --- | --- | | ![Pony SDXL attention editor geometry](docs/assets/regional/sdxl-pony-editor.png) | ![Pony native conditioning editor geometry](docs/assets/regional/sdxl-pony-native-editor.png) |

[Download the SDXL attribute-separation regional document](docs/examples/sdxl-attention-attribute-separation-test.bv-regional.json) ### Z-Image Turbo attention routing **BV Regional Z-Image Attention** targets the Lumina2/S3-DiT-style joint-attention architecture used by Z-Image Turbo. It patches a cloned model, keeps Global text available throughout the image and spatially routes Background and regional text slots through the unified text/image attention matrix. `joint` overlaps expose all participating regional contexts. The verified model family is available from the official [Z-Image Turbo model page](https://huggingface.co/Tongyi-MAI/Z-Image-Turbo). The node returns a patched model, positive conditioning and zero negative conditioning for a standard KSampler. Z-Image Turbo does not use a conventional negative CFG branch, but ComfyUI's KSampler still requires a negative input. The backend is architecture-gated and rejects FLUX, SDXL, Anima and unrelated models. Recommended starting values are Attention Strength `1.0`, Start `0.0`, End `0.5`. The backend was interactively verified at 1024 x 1024 with `res_multistep`, eight steps, CFG `1.0`, the `simple` scheduler and `ModelSamplingAuraFlow` shift `3.0`. These are test values rather than universal quality recommendations.

Z-Image Turbo — Attention versus untuned Native baseline

The comparison used the same regional document, seed `336492265582909`, model, sampler, scheduler, steps, CFG and resolution. Native Conditioning was intentionally left at its default strength. Both approaches preserved broad left/right placement; joint-attention routing retained the requested white/cyan and black/orange attributes more precisely, while the Native result shifted the right suit toward beige and gold. | Z-Image Attention | Native masked conditioning | | --- | --- | | ![Z-Image Turbo with joint-attention routing](docs/assets/regional/zimage-attention.png) | ![Z-Image Turbo with untuned native conditioning](docs/assets/regional/zimage-native.png) | | Attention geometry | Native geometry | | --- | --- | | ![Z-Image Attention editor geometry](docs/assets/regional/zimage-editor.png) | ![Z-Image Native editor geometry](docs/assets/regional/zimage-native-editor.png) | | Attention workflow | Native workflow | | --- | --- | | ![Z-Image Attention workflow](docs/assets/regional/zimage-workflow.png) | ![Z-Image Native workflow](docs/assets/regional/zimage-native-workflow.png) |

[Download the Z-Image Turbo attribute-separation regional document](docs/examples/zimage-turbo-attention-separation-test.bv-regional.json) ### FLUX.2 Klein 9B attention routing **BV Regional FLUX.2 Klein 9B Attention** patches a cloned model and routes Global, Background and regional Qwen3-8B text contexts through all double- and single-stream joint-attention blocks. The result works with normal ComfyUI model-patcher sampling paths, including KSampler and SamplerCustom workflows; no BV-specific sampler is required. The node deliberately accepts only the exact FLUX.2 Klein 9B architecture. It rejects Klein 4B, full FLUX.2 and unrelated models instead of applying a speculative patch. The distilled 9B profile has no conventional negative-prompt branch, so the node emits zero negative conditioning for ComfyUI nodes that require a negative input. Model weights are not bundled and remain subject to the [FLUX Non-Commercial License](https://huggingface.co/black-forest-labs/FLUX.2-klein-9B/blob/main/LICENSE.md). Attention Strength controls regional routing influence; Start and End define its active sampling interval. These controls are independent from each region's own strength. Regional attention remains generative guidance rather than hard segmentation. The backend does not replace or repair the model's sampling configuration. Keep the sampler, scheduler, step count, guidance, LoRAs and model-sampling settings that already work for the chosen FLUX.2 Klein setup. For a meaningful A/B comparison, hold those settings, the prompt and the seed constant and change only the regional backend.

FLUX.2 Klein 9B — verified regional separation

The first local run used unsuitable external sampling settings and produced the same poor quality with and without the BV node. After correcting the caller-owned sampling configuration, the unpatched baseline and the regional run both rendered cleanly. The regional result retained that quality while keeping the white/cyan and black/orange character attributes spatially separated. ![FLUX.2 Klein 9B regional attention result](docs/assets/regional/flux2-klein-attention.png) ![FLUX.2 Klein 9B editor geometry](docs/assets/regional/flux2-klein-editor.png) ![FLUX.2 Klein 9B regional attention workflow](docs/assets/regional/flux2-klein-workflow.png)

[Download the FLUX.2 Klein 9B separation-test regional document](docs/examples/flux2-klein-9b-attention-separation-test.bv-regional.json) ### Experimental Krea 2 attention routing **BV Regional Krea 2 Attention (Experimental)** patches a cloned Krea 2 model and routes Global, Background and regional Qwen3-VL text contexts through all 28 main single-stream joint-attention blocks. It works with a normal KSampler. Four upstream text-fusion/refiner blocks execute before the public attention-patch seam and remain global. The backend therefore improves spatial prompt-to-region binding but is not strict end-to-end isolation. Krea 2 Raw retains conventional CFG and negative-prompt semantics. Krea 2 Turbo is normally used near CFG 1, where a separate negative branch has little or no practical effect. Attention Strength, Start and End control routing; per-region strength remains independent. The verified tests showed stable character and outfit separation, region reassignment, and a wide empty center when prompts and masks supported that composition. This is evidence of useful routing, not a guarantee: prompt engineering, region geometry and overlap, the actual need for regional separation, model priors, seed, and sampling settings still work together.

Krea 2 — experimental regional separation

![Krea 2 attention result](docs/assets/regional/krea2-attention.png) ![Krea 2 editor geometry](docs/assets/regional/krea2-editor.png) ![Krea 2 workflow](docs/assets/regional/krea2-workflow.png)

[Download the Krea 2 separation-test regional document](examples/krea2-two-explorers-space-observatory.bv-regional.json) ### Experimental Anima LLLite layout control **BV Regional Anima LLLite** adds learned layout guidance to the prompt-to-region binding supplied by **BV Regional Anima Conditioning**. It is an Anima `MODEL_PATCH`, not a classic ComfyUI `CONTROL_NET`: BV renders the regional document to a solid RGB image, ComfyUI loads the LLLite weights, and the patch modifies the Anima model during the selected sampling interval. ```text Anima MODEL -> BV Regional Anima Conditioning -> BV Regional Anima LLLite -> KSampler | | +-> positive / negative +-> control image / legend ``` Download the adapter separately from [Sen-sou/Anima-LLLite-Regional-Controlnet](https://huggingface.co/Sen-sou/Anima-LLLite-Regional-Controlnet), place it under `ComfyUI/models/model_patches/`, then restart ComfyUI. BV does not bundle or download model weights. The verified reference starts with Strength `1.0`, Start `0.0`, End `1.0`; shorter intervals and lower strengths intentionally allow more model freedom.

Workflow, control image and editor geometry

![Anima LLLite workflow](docs/assets/regional/anima-lllite-workflow.png) > The captured UI still shows KSampler `randomize`; switch it to `fixed` before > controlled comparisons. The A/B evidence below was verified from executed PNG > prompt metadata and uses the same actual seed. The generated control image contains exactly white plus one solid color per enabled region. Display colors, mask-display opacity and the background preview do not alter it. ![Anima LLLite control image](docs/assets/regional/anima-lllite-control-image.png) The same rectangles, interaction overlap and painted light arc in the editor: ![Anima LLLite editor overlay](docs/assets/regional/anima-lllite-editor-overlay.png)

Controlled A/B result — identical executed seed

Both images were executed with seed `766291715444885`, the same model, LoRA, prompts, regional document and sampler settings. Only the LLLite model patch differs. | LLLite active — Strength 1.0, 0.0–1.0 | LLLite bypassed | | --- | --- | | [![LLLite active](docs/assets/regional/anima-lllite-active.png)](docs/assets/regional/anima-lllite-active.png) | [![LLLite bypassed](docs/assets/regional/anima-lllite-bypass.png)](docs/assets/regional/anima-lllite-bypass.png) | The active patch keeps both subjects on a more comparable scale and depth plane. The bypassed render retains regional character binding but allows a much freer layout.

LLLite remains guidance rather than hard segmentation. It does not associate prompt text with a color by itself, guarantee object boundaries or force an interaction. Read the complete **[Anima LLLite regional-control guide](docs/anima-lllite-regional-control.md)** for architecture, settings, verified behavior, limitations and licensing boundaries. ## Prompt autocomplete BV Prompt Autocomplete uses local datasets and does not require another completion extension. The bundled `data/completion/bv_default_tags.csv` is active by default. - Supports legacy four-column CSV and extensible header-based CSV/TSV files. - Preserves descriptions, provenance, safety scores and unknown future metadata. - Inserts tag names with spaces while retaining canonical underscore tags as metadata. - Works in the Regional Editor, Quick Edit and ordinary ComfyUI multiline widgets. - Opens at the active caret by default; placement can be changed globally to below the complete text field under **Settings → BV Node Pack → Prompting**. - Can be disabled globally or inside the editor when another completer should own fields. - Supports multiple ordered datasets; the topmost enabled source wins duplicate tags. Custom widgets can opt out with `data-bv-autocomplete="off"` on the textarea or an ancestor. An absolute dataset may be forced with the `BV_COMPLETION_DATASET` environment variable.

Autocomplete in Quick Edit, the full editor and native multiline widgets

![Autocomplete in Quick Edit](docs/assets/regional/autocomplete-quick-edit.png) ![Autocomplete in the full Regional Editor](docs/assets/regional/autocomplete-editor.png) ![Autocomplete in a native multiline widget](docs/assets/regional/autocomplete-multiline.png)

Dataset selection, priority and global enable switch

![BV Prompt Autocomplete settings](docs/assets/regional/completion-settings.png)

## Smart Pipes **BV Smart Pipe** carries a chain-growing set of values identified by stable slot IDs. Each node exposes only the inputs and outputs required at that point in the workflow. ### Incremental slot inheritance Unlike fixed pipe systems, a Smart Pipe does not expose one global port list on every node. Each node inherits the complete slot contract of its selected predecessor and may append new slots locally. Those additions become available only from that point downstream; they do not appear retroactively on earlier nodes or unrelated branches. | Chain position | Visible contract | | --- | --- | | Loader pipe | Local `model`, `clip`, `vae` | | Prompt pipe | Inherited `model`, `clip`, `vae` + local `positive`, `negative` | | Sampling pipe | Everything inherited above + local `latent`, `seed` | Inherited slots can be passed through unchanged or overridden at the current node. Because every slot has a stable logical identity, downstream connections continue to refer to the correct value even when labels change or an upstream slot is temporarily missing. [![Smart Pipe wireless merge](examples/images/smart-pipe-wireless-merge.png)](examples/images/smart-pipe-wireless-merge.png) - Wired and wireless routing can be mixed. - Each branch inherits only its own upstream slots and can grow independently. - Bypassed nodes pass inherited state without applying local writes. - Muted nodes stop only their dependent execution branch. - Removed upstream slots remain identifiable instead of silently shifting connections. - **BV Smart Pipe Merge** combines branches in explicit user-defined order. - Missing sources and cycles fail closed. Configure slots through **Configure Smart Pipe**. The legacy **BV Pipe Config** and **BV Pipe** nodes remain available only for existing workflows. > Wireless routing across Subgraph boundaries relies on prompt materialization because > ComfyUI does not currently expose an official pre-prompt extension hook. Keep physical > pipe links in compatibility-critical workflows. ## Structured Prompt AST Prompt AST nodes preserve semantic categories instead of repeatedly parsing flattened text. [![Prompt AST categories](examples/images/prompt-ast-categories.png)](examples/images/prompt-ast-categories.png) | Node | Purpose | | --- | --- | | BV Prompt Encode | Parses tagged source into `BV_AST` plus cleaned text | | BV Prompt Category Switch | Enables/disables categories with inheritance and any/all matching | | BV Prompt Decode | Materializes selected categories as plain text | | BV Prompt AST Debug | Displays the current AST as formatted JSON | See the **[Prompt AST syntax and markup guide](docs/prompt-ast-guide.md)**. ## Subgraph interface nodes These nodes build readable, purpose-specific Subgraph surfaces instead of exposing an undifferentiated list of widgets. [![Subgraph UI layout](examples/images/subgraph-ui-layout.png)](examples/images/subgraph-ui-layout.png) | Node | Purpose | | --- | --- | | BV Subgraph Heading | A projected section title with optional divider | | BV Subgraph Divider | A projected visual separator | | BV Subgraph Spacer | Controlled vertical spacing | | BV Dynamic Combo | A controlled choice that also emits string, integer and float views | Presentation identity and serialized port identity remain separate so reload, copying and nested Subgraphs do not reorder exposed controls. To project one of these presentation nodes onto a Subgraph interface: 1. Create or open the Subgraph and add the presentation node between the controls it should visually separate. 2. Expose the node's left input as a Subgraph input. 3. Wire the surrounding data inputs to preserve the intended interface order. 4. Return to the parent graph. The exposed input is rendered as the heading, divider or spacer instead of an ordinary editable field.

Heading: internal wiring and resulting Subgraph

The heading input is exposed between the controls that should appear above and below it. ![Heading wired inside a Subgraph](docs/screenshots/bv_subgraph_heading_in_subgraph.png) The parent Subgraph node renders that exposed position as a heading: ![Heading rendered on a Subgraph](docs/screenshots/bv_subgraph_heading_subgraph.png) The heading text, font size and optional divider remain configurable on the inner node: ![Editing a Subgraph heading](docs/screenshots/bv_subgraph_heading_edit.png)

Divider: internal wiring and resulting Subgraph

![Divider wired inside a Subgraph](docs/screenshots/bv_divider_in_subgraph.png) ![Divider rendered on a Subgraph](docs/screenshots/bv_divider_subgraph.png)

Spacer: internal wiring and resulting Subgraph

![Spacer wired inside a Subgraph](docs/screenshots/bv_spacer_in_subgraph.png) ![Spacer rendered on a Subgraph](docs/screenshots/bv_spacer_subgraph.png)

## Workflow control **BV Control Center** defines named workflow states and applies explicit `Activate`, `Mute` or `Bypass` actions to graph/Subgraph groups. [![Control Center workflow states](examples/images/control-center-workflow-states.png)](examples/images/control-center-workflow-states.png) - Multiple Control Center nodes remain synchronized. - Groups are discovered recursively in the root graph and inside Subgraphs, including nested Subgraphs, and are shown with their qualified Subgraph path. - `Mute` and `Bypass` are applied to the nodes contained in the selected group, even when that group lives inside a Subgraph definition. - A group belongs to its reusable Subgraph definition. If that definition has several instances, its controlled node modes therefore apply to every instance. - Active conflicts resolve deterministically as `Activate > Mute > Bypass`. - Conflicts and unresolved groups remain visible and block unsafe execution. - Base node modes are restored when controls stop applying.

Configure workflow states and group actions

Each named state can assign `Activate`, `Mute` or `Bypass` to any discovered root or Subgraph group. ![Control Center configuration](examples/images/control-center-config.png)

## Latent and utility nodes | Node | Purpose | | --- | --- | | BV Empty Latent Random Ratio | Selects enabled aspect ratios deterministically while preserving approximate square pixel area | | BV Latent Random Rotate 90 | Applies a seed-controlled 90-degree latent rotation | | BV Seed | Provides fixed, random-each-queue and last-queued modes with Subgraph projection | | BV Hex Color To Int | Converts three- or six-digit hex colors to integers | [![Random-ratio latent](examples/images/empty-latent-random-ratio.png)](examples/images/empty-latent-random-ratio.png) `BV Latent Random Aspect Ratio` is deprecated but retained for workflow compatibility. ## Example workflows Workflow PNGs contain importable ComfyUI metadata; matching JSON files are provided as metadata-independent fallbacks. | Example | Preview | JSON | | --- | --- | --- | | Smart Pipe wireless merge | [PNG](examples/images/smart-pipe-wireless-merge.png) | [JSON](examples/workflows/smart-pipe-wireless-merge.json) | | Control Center states | [PNG](examples/images/control-center-workflow-states.png) | [JSON](examples/workflows/control-center-workflow-states.json) | | Subgraph UI layout | [PNG](examples/images/subgraph-ui-layout.png) | [JSON](examples/workflows/subgraph-ui-layout.json) | | Random-ratio latent | [PNG](examples/images/empty-latent-random-ratio.png) | [JSON](examples/workflows/empty-latent-random-ratio.json) | | Prompt AST categories | [PNG](examples/images/prompt-ast-categories.png) | [JSON](examples/workflows/prompt-ast-categories.json) | | Anima regional android dance | [Workflow PNG](examples/images/anima-android-dance-regional-showcase.png) | [Regional document](docs/examples/anima-android-dance-regional-showcase.bv-regional.json) | Regional document fixtures: - [Anima: android dance with interaction overlap and painted light arc](docs/examples/anima-android-dance-regional-showcase.bv-regional.json) - [Anima: two characters in a space station](docs/examples/anima-two-characters-space-station.bv-regional.json) - [Krea 2: two women at a castle](docs/examples/krea2-two-women-castle.bv-regional.json) - [Krea 2: two explorers in a space observatory](examples/krea2-two-explorers-space-observatory.bv-regional.json) ## Architecture and compatibility - Stable IDs are authoritative; names and labels are presentation. - UI state is stored separately from semantic workflow documents. - Optional model integrations load lazily and cannot prevent unrelated nodes from registering. - Standard KSampler compatibility depends on the selected compiler/backend. - Missing capabilities fail visibly instead of silently degrading prompt meaning. - Nodes 2.0 and Subgraph behavior are tested independently from root-node rendering. Technical references: - [Regional schema v1](docs/specs/bv-regional-v1.md) - [Global completion contract](docs/specs/bv-global-completion.md) - [Regional Editor implementation notes](docs/regional-editor-mvp.md) - [Smart Pipe contract ADR](docs/adr/0001-separate-smart-pipe-contract.md) - [Renderer-independent Subgraph UI ADR](docs/adr/0002-renderer-independent-subgraph-ui.md) - [Wireless Smart Pipe ADR](docs/adr/0003-wireless-smart-pipe-spine.md) - [Krea 2 regional-attention research](docs/research/krea2-regional-attention-backend.md) - [Third-party notices](THIRD_PARTY_NOTICES.md) ## Current scope - Regional overlap execution currently supports `joint`; other modes are reserved. - Native regional conditioning provides masks, not model-internal attention isolation. - Built-in attention backends currently target Anima, SDXL-family models, Z-Image Turbo, FLUX.2 Klein 9B and experimental Krea 2. - Regional negative isolation depends on backend capability. - Regional results always combine prompt engineering, region geometry and overlap, model priors and sampling; attention routing guides rather than forces exact composition. - Region placement, overlap and strength guide conditioning but cannot guarantee exact object boundaries, poses, depth order or pixel-perfect interactions. - Wireless Smart Pipe compatibility remains sensitive to upstream prompt lifecycle changes. ## Changelog ### 2026-08-18 — v0.9.0 - Add additive and subtractive rectangle, ellipse and click-to-place polygon tools. - Extend the `BV_REGIONAL` v1 schema, validation, transforms and backend mask renderer with ellipse and polygon geometry while preserving existing documents. - Add a persistent, inspection-only binary mask preview that resolves enabled mask operations and region feather without authoring overlays or background images. - Show zoom-stable cyan Add/transform and dashed red Subtract previews, live polygon edges and canvas-pixel dimensions while drawing, moving or resizing geometry. - Cover geometry contracts, hit testing, transforms, mask composition, persistence and schema validation with frontend and Python regression tests. ### 2026-08-18 — v0.8.0 - Add an experimental Krea 2 regional joint-attention backend with normal KSampler compatibility. - Route Global, Background and regional Qwen3-VL contexts through all 28 main single-stream attention blocks. - Keep the four upstream text-fusion/refiner blocks global and document this as an explicit experimental isolation limit. - Normalize missing all-ones Krea attention masks and add architecture/memory guards, tests, an importable regional document and verified screenshots. - Document that successful regional composition combines prompt engineering, mask geometry, actual spatial need, model priors and sampling settings; attention routing is guidance, not hard layout enforcement. ### 2026-08-18 — v0.7.0 - Add an exact-architecture FLUX.2 Klein 9B joint-attention backend for `BV_REGIONAL` documents with standard ComfyUI sampling paths. - Route Global, Background and regional Qwen3-8B contexts through all double- and single-stream attention blocks while preserving `joint` overlap semantics. - Emit zero negative conditioning for the distilled 9B profile and reject Klein 4B, full FLUX.2 and unrelated architectures explicitly. - Add dense-mask memory guards, regression coverage, an importable separation-test document and verified workflow/editor/result screenshots. - Document that sampler, scheduler, guidance and model-sampling configuration remain caller-owned and must be validated independently from regional routing. ### 2026-08-18 — v0.6.0 - Add a Z-Image Turbo joint-attention backend for `BV_REGIONAL` documents with standard-KSampler positive and zero negative conditioning. - Route Global, Background and regional text contexts through Z-Image Turbo's model-internal attention while preserving overlapping region behavior. - Validate regional attribute separation against untuned Native Conditioning with matching prompts, geometry, seed and sampling settings. - Reject incompatible model architectures explicitly and cover compilation, attention routing, strength, timing and failure behavior with regression tests. - Add an importable Z-Image Turbo separation-test document and illustrated attention and Native workflow evidence. ### 2026-08-18 — v0.5.0 - Add a generic SDXL cross-attention routing backend for `BV_REGIONAL` documents with standard-KSampler positive and negative conditioning. - Validate the backend in real GPU workflows with WAI Illustrious SDXL and Pony Diffusion V6 XL, including controlled untuned Native Conditioning comparisons. - Keep Global context available everywhere, restrict Background to uncovered pixels, route regions through rendered masks and preserve `joint` overlap semantics. - Reject non-SDXL model architectures explicitly and cover model detection, routing, overlap, strength and failure behavior with regression tests. - Add an importable SDXL attribute-separation document and illustrated workflow evidence. ### 2026-08-17 — v0.4.1 - Publish an explicit, documented `node_list.json` so ComfyUI Registry and Manager can identify all 31 nodes despite the pack's dynamic module loader. - Validate the manual node list against every declared `NODE_CLASS_MAPPINGS` key during CI to prevent registry metadata drift. - Run TypeScript-backed frontend behavior tests through an explicit `tsx` loader so the Node 20 validation runner matches local test behavior. - Declare the shipped JavaScript test modules as ESM explicitly instead of relying on Node 24 syntax detection that is unavailable in the Node 20 CI job. ### 2026-08-17 — v0.4.0 - Add native Anima LLLite layout control with deterministic regional color images, debug legends, documented patch ordering and controlled A/B reference assets. - Add lossless compound-layer merge/split, resolution-aware disconnected-area splitting and editable region display colors to the Regional Editor. - Close Regional Editor surfaces when switching workflows and preserve the active workflow boundary safely. - Open prompt completions at the active caret by default, with optional field-aligned placement in global settings and the editor menu. - Refresh the Regional Editor and autocomplete documentation assets and disclose the project's AI-assisted development process. ### 2026-08-17 — v0.3.5 - Restore repository-relative README image paths so GitHub and local Markdown previews resolve the committed files without an external Raw CDN dependency. - Keep the header on the PNG Registry banner instead of the SVG source. ### 2026-08-17 — v0.3.4 - Use explicit Raw GitHub URLs for every README image instead of relying on repository-relative image resolution. ### 2026-08-17 — v0.3.3 - Use the Registry PNG banner for reliable README rendering on GitHub and mirrors. ### 2026-08-17 — v0.3.2 - Add Registry icon and 21:9 Nodes Manager banner metadata. - Publish the illustrated Regional Editor, Anima workflow and autocomplete documentation. - Preserve Quick Edit synchronization and background-image display state across editor sessions. - Extend selected brush layers and expose background-image opacity controls. ### 2026-08-17 — v0.3.1 - Extend BV Prompt Autocomplete to ordinary ComfyUI multiline text widgets. - Keep completion keyboard handling local and provide explicit widget opt-out. - Clean up listeners when nodes are removed and prevent duplicate adapter installation. ### 2026-08-17 — v0.3.0 - Add the BV-owned lazy CSV/TSV completion provider with extensible metadata. - Add global/editor controls and ordered completion datasets. - Bundle `bv_default_tags.csv` so completion has no runtime dependency on another node pack. ### 2026-08-17 — v0.2.0 - Add the model-neutral Regional Editor and document toolchain. - Add native masked conditioning and built-in Anima attention backends. - Add Quick Edit and preview/save image feedback senders. ### 2026-08-14 — v0.1.0 - Add Smart Pipe and native random-ratio empty latents. - Harden AST, Dynamic Combo, Subgraph UI, Control Center, debug, rotation and hex nodes. Earlier history remains available in the Git log. ## Acknowledgements Generative AI systems served as collaborative development tools throughout this project, supporting research, code generation, refactoring, test design and documentation. Their contribution is acknowledged openly alongside the human architecture, creative direction, review and practical validation behind the pack. BV Node Pack is built on ComfyUI's extension ecosystem. Several open-source projects helped shape its product ideas, interaction patterns and technical research: - [ComfyUI](https://github.com/Comfy-Org/ComfyUI) and [ComfyUI Frontend](https://github.com/Comfy-Org/ComfyUI_frontend) provide the runtime, graph, Subgraph and extension foundations this pack integrates with. - [rgthree-comfy](https://github.com/rgthree/rgthree-comfy) influenced the focus on fast workflow controls, compact graph tooling and practical seed/control UX. - [ComfyUI_agilly1989_motorway](https://github.com/agilly1989/ComfyUI_agilly1989_motorway) was the original inspiration for configurable BV Pipes. Motorway demonstrated that a pipe could carry user-named values through a workflow and overwrite an existing key downstream instead of relying only on a permanently fixed port set. BV Smart Pipe developed that idea further with incremental slot inheritance, stable slot identities, independent branches, wireless routing and explicit merges. - [cg-use-everywhere](https://github.com/chrisgoringe/cg-use-everywhere), commonly known as Use Everywhere, inspired the wireless-routing direction. Its approach demonstrated how values can be broadcast without visible graph links and how routing rules can disambiguate targets in complex workflows. BV Smart Pipe uses its own explicit predecessor, stable-address and branch/merge semantics. - [ComfyUI-KJNodes](https://github.com/kijai/ComfyUI-KJNodes), especially the Ideogram regional prompt-builder workflow, inspired the idea of a dedicated editor surface that can remain available while navigating the graph. - [ComfyUI_LC123_nodes](https://github.com/lonecatone23/ComfyUI_LC123_nodes) demonstrated painted regional authoring and provided useful Krea 2 and Anima workflow references. - [Comfyui-Anima-Regional-Conditioning](https://github.com/Sen-sou/Comfyui-Anima-Regional-Conditioning) provided the technical basis for the built-in Anima patch. Its MIT attribution is reproduced in [Third-Party Notices](THIRD_PARTY_NOTICES.md). - [RES4LYF](https://github.com/ClownsharkBatwing/RES4LYF) was studied as an architectural reference for regional attention, overlap and model-specific backends. BV does not copy its implementation. - [comfy-ex-tagcomplete](https://github.com/jupo-ai/comfy-ex-tagcomplete) informed completion behavior and supplied the baseline public tag-data snapshot. BV uses its own completion implementation; dataset provenance is documented separately. > **Thank you.** BV Node Pack would not have grown into its current form without > the maintainers, researchers and workflow creators who share their code, ideas, > experiments and hard-earned findings with the ComfyUI community. Their openness > made it possible to study different approaches, learn from them and build something > new on top of that collective knowledge. We sincerely appreciate the time and care > behind every project acknowledged above. Inspiration acknowledgements do not imply endorsement, affiliation or a runtime dependency unless explicitly stated. ## License BV Node Pack is licensed under **GNU GPL v3**. Third-party-derived components and datasets are documented in [THIRD_PARTY_NOTICES.md](THIRD_PARTY_NOTICES.md).

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