Imagev1.0.0

ControlNet Pose

Generate an image from a prompt while preserving a detected human pose.

10 inputsIMAGEIMAGE

Run it now Call from code

Demo coming soon

Output

Fill in the inputs and run the node to see its output here.

Run it from your code

The same node, called by id from any surface. Every tab pins controlnet-pose and passes the ports below. Full guide.

import { BlitClient } from "@blitflow/sdk";

const { runNode } = new BlitClient({ apiKey: process.env.BLITFLOW_TOKEN });

const { outputs } = await runNode("controlnet-pose", {
  image: { ref: "https://..." },
  prompt: { value: "example" },
  imageResolution: { value: "512" },
  detectResolution: { value: 512 },
  steps: { value: 20 },
  guidance: { value: 9 },
  additionalPrompt: { value: "best quality, extremely detailed" },
  negativePrompt: { value: "longbody, lowres, bad anatomy, bad hands, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality" },
  eta: { value: 0 },
  seed: { value: 1 },
});

# Install once, then sign in
npm install -g blitflow
blitflow login

blitflow node controlnet-pose \
  -i image=@https://... \
  -i prompt="example" \
  -i imageResolution="512" \
  -i detectResolution=512 \
  -i steps=20 \
  -i guidance=9 \
  -i additionalPrompt="best quality, extremely detailed" \
  -i negativePrompt="longbody, lowres, bad anatomy, bad hands, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality" \
  -i eta=0 \
  -i seed=1

{
  "name": "runs_node",
  "arguments": {
    "node": "controlnet-pose",
    "inputs": {
      "image": {
        "ref": "https://..."
      },
      "prompt": {
        "value": "example"
      },
      "imageResolution": {
        "value": "512"
      },
      "detectResolution": {
        "value": 512
      },
      "steps": {
        "value": 20
      },
      "guidance": {
        "value": 9
      },
      "additionalPrompt": {
        "value": "best quality, extremely detailed"
      },
      "negativePrompt": {
        "value": "longbody, lowres, bad anatomy, bad hands, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality"
      },
      "eta": {
        "value": 0
      },
      "seed": {
        "value": 1
      }
    }
  }
}

curl https://studio.blitflow.com/api/v1/runs/node \
  -H "Authorization: Bearer $BLITFLOW_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"node":"controlnet-pose","inputs":{"image":{"ref":"https://..."},"prompt":{"value":"example"},"imageResolution":{"value":"512"},"detectResolution":{"value":512},"steps":{"value":20},"guidance":{"value":9},"additionalPrompt":{"value":"best quality, extremely detailed"},"negativePrompt":{"value":"longbody, lowres, bad anatomy, bad hands, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality"},"eta":{"value":0},"seed":{"value":1}}}'

Schema

Inputs

image*	IMAGE	Reference image
prompt*	TEXT
imageResolution	TEXT	256 · 512 · 768	512
detectResolution	INT	Pose detection resolution	512
steps	INT		20
guidance	FLOAT		9
additionalPrompt	TEXT		best quality, extremely detailed
negativePrompt	TEXT		longbody, lowres, bad anatomy, bad hands, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality
eta	FLOAT	Noise	0
seed	INT

Outputs