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ControlNet Scribble

Generate a detailed image from a prompt while preserving a scribbled composition.

Edit & Analyze Imagev1.0.09 inputsIMAGEIMAGE
ControlNet Scribble input
ControlNet Scribble output

Prompt: “a cozy stone cottage under a starry sky”

Try it right here

Fill the inputs the node publishes and run it on your own account. The same ports, defaults and types the studio uses.

Inputs

IMAGE
Scribble
TEXT
TEXT
1 – ∞INT
0.1 – 30FLOAT
TEXT
TEXT
FLOAT
Noise
INT
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Output

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

Call it from your code

The same node, called by id from any surface. Every tab pins this node and passes the ports below.

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

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

const { outputs } = await runNode("controlnet-scribble", {
  image: { ref: "https://..." },
  prompt: { value: "example" },
  imageResolution: { 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

Every port this node publishes, with its type, its hint and the default it runs with. controlnet-scribble is the id you call.

Inputs

image*IMAGE
Scribble
prompt*TEXT
imageResolutionTEXT
256 · 512 · 768
512
stepsINT20
guidanceFLOAT9
additionalPromptTEXTbest quality, extremely detailed
negativePromptTEXTlongbody, lowres, bad anatomy, bad hands, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality
etaFLOAT
Noise
0
seedINT

Outputs

imageIMAGE
Generated image
scribbleIMAGE
Processed scribble

Chain it with the rest of the catalog

Open the studio