> ## Documentation Index
> Fetch the complete documentation index at: https://docs.livepeer.org/llms.txt
> Use this file to discover all available pages before exploring further.

# Reference pipelines

> Production BYOC pipelines running on the Livepeer network: StreamDiffusion, ControlNet, IPAdapter, FaceID, Whisper, Gemma, and SuperResolution.

export const CenteredContainer = ({children, maxWidth = "800px", padding = "0", preset = "default", width = "", minWidth = "", marginRight = "", marginBottom = "", textAlign = "", style = {}, className = "", ...rest}) => {
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export const CustomDivider = ({color = "var(--lp-color-border-default)", middleText = "", spacing = "default", style = {}, className = "", ...rest}) => {
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      <div style={{
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          <Icon icon="/snippets/assets/logos/Livepeer-Logo-Symbol-Theme.svg" />
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export const TableCell = ({children, align = "left", header = false, style = {}, className = "", ...rest}) => {
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export const TableRow = ({children, header = false, hover = false, style = {}, className = "", ...rest}) => {
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export const StyledTable = ({children, variant = "default", style = {}, className = "", ...rest}) => {
  const wrapperVariants = {
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      backgroundColor: "var(--lp-color-bg-card)",
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      backgroundColor: "var(--lp-color-bg-page)",
      overflow: "hidden"
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<CenteredContainer preset="readable90">
  <Tip>These pipelines run on the network today via ComfyStream. Each is a ComfyUI workflow packaged as a BYOC container with a pre-built Docker image.</Tip>
</CenteredContainer>

<CustomDivider />

The following real-time AI pipelines are deployed on the Livepeer Network as BYOC containers running through ComfyStream. Each pipeline is a ComfyUI workflow that processes live video frames.

<CustomDivider />

## Available pipelines

<StyledTable variant="bordered">
  <thead>
    <TableRow header>
      <TableCell header>Pipeline</TableCell>
      <TableCell header>Input</TableCell>
      <TableCell header>Output</TableCell>
      <TableCell header>Min VRAM</TableCell>
      <TableCell header>Target FPS</TableCell>
    </TableRow>
  </thead>

  <tbody>
    <TableRow>
      <TableCell>**StreamDiffusion**</TableCell>
      <TableCell>Live video + text prompt</TableCell>
      <TableCell>Style-transferred video</TableCell>
      <TableCell>8 GB</TableCell>
      <TableCell>20-30</TableCell>
    </TableRow>

    <TableRow>
      <TableCell>**StreamDiffusion V2**</TableCell>
      <TableCell>Live video + text prompt</TableCell>
      <TableCell>Higher-quality style transfer</TableCell>
      <TableCell>12 GB</TableCell>
      <TableCell>15-25</TableCell>
    </TableRow>

    <TableRow>
      <TableCell>**ControlNet**</TableCell>
      <TableCell>Live video + control image</TableCell>
      <TableCell>Pose/edge-conditioned generation</TableCell>
      <TableCell>12 GB</TableCell>
      <TableCell>10-15</TableCell>
    </TableRow>

    <TableRow>
      <TableCell>**IPAdapter**</TableCell>
      <TableCell>Live video + reference image</TableCell>
      <TableCell>Style-consistent generation</TableCell>
      <TableCell>12 GB</TableCell>
      <TableCell>10-15</TableCell>
    </TableRow>

    <TableRow>
      <TableCell>**FaceID**</TableCell>
      <TableCell>Live video + face reference</TableCell>
      <TableCell>Face-swapped or avatar video</TableCell>
      <TableCell>12 GB</TableCell>
      <TableCell>15-20</TableCell>
    </TableRow>

    <TableRow>
      <TableCell>**Whisper (audio)**</TableCell>
      <TableCell>Live audio</TableCell>
      <TableCell>Real-time transcription (data channel)</TableCell>
      <TableCell>4 GB</TableCell>
      <TableCell>N/A (text output)</TableCell>
    </TableRow>

    <TableRow>
      <TableCell>**Gemma (vision)**</TableCell>
      <TableCell>Live video</TableCell>
      <TableCell>Scene understanding (data channel)</TableCell>
      <TableCell>8 GB</TableCell>
      <TableCell>1-5 (per analysis)</TableCell>
    </TableRow>

    <TableRow>
      <TableCell>**SuperResolution**</TableCell>
      <TableCell>Low-resolution video</TableCell>
      <TableCell>Upscaled video (2x or 4x)</TableCell>
      <TableCell>8 GB</TableCell>
      <TableCell>15-25</TableCell>
    </TableRow>
  </tbody>
</StyledTable>

All pipelines use the `live-video-to-video` pipeline type and are accessible through any Livepeer Gateway that routes to Orchestrators with the pipeline warm.

<CustomDivider />

## Building a custom pipeline

Fork an existing reference pipeline as your starting point. Each pipeline is a ComfyUI workflow JSON file plus a requirements file for additional Python dependencies.

1. Export your ComfyUI workflow as JSON
2. Test it with [ComfyStream](/v2/developers/build/ai-and-agents/realtime-ai/ComfyStream/overview)
3. Package it as a BYOC container via [ComfyStream as BYOC](/v2/developers/build/ai-and-agents/realtime-ai/ComfyStream/ComfyStream-as-byoc)
4. Register it with your Orchestrator's `aiModels.json`

<CustomDivider />

The [ComfyStream workflow authoring](/v2/developers/build/ai-and-agents/realtime-ai/ComfyStream/workflow-authoring) page covers building custom workflows. The [BYOC quickstart](/v2/developers/build/compute/byoc/byoc-quickstart) covers container packaging and registration.