Question 1

Chii chinonzi AI Scribble to Image?

Accepted Answer

Make a rough scribble — even a stick-figure-level doodle — and the AI renders it as a finished image. The scribble guides composition (rough shapes, layout, scene structure); the prompt fills in style and detail.

Question 2

Chii chinosiyana ne /image/sketch-to-image/?

Accepted Answer

Sketch-to-image (Canny) inoita kuti zviite sekuti zvinyorwa zvako zviri nyore kutambanudza — zvidhori zvako ZINOVE mativi. Scribble-to-image inoita kuti zviite sekuti zvinyorwa zvako zviri nyore kutambanudza — inoshandisa PiDiNet soft-edge detection iyo inogadzirisa zvidhori zvakaoma, mativi akaipa, uye zvinongedzo zvemhando yepamusoro zvevana. Usaite sketch kana uchida kutambanudza zvinyorwa zvakajeka, scribble kana uchida kutambanudza zvinyorwa zvakaoma zvepenzura/muromo/finger.

Question 3

Chii chine simba?

Accepted Answer

Any drawing - pencil, pen, marker, digital scribble, stick figures, kindergarten-level art. Photos of paper sketches work too. The detector smoothes and abstracts your strokes, so quality of linework matters less than for canny.

Question 4

Ndeipi scribble model inoibatsira?

Accepted Answer

PiDiNet detector (ne HEDdetector fallback) inotora mapikicha e soft-edge kubva kune yako input; xinsir/controlnet-scribble-sdxl-1.0 ControlNet wozoita kuti SDXL iite paaya mapikicha. Best-in-class for messy / loose / abstract inputs.

Question 5

Iva nechokwadi?

Accepted Answer

Yeah — ~ 1,200 tokens per render (1,000 base + 20% ControlNet surcharge).30,000 free tokens / zuva for signed-in users covers about 4 scribbles daily.

Question 6

Ndiani anofanira kukumbira zvakanaka?

Accepted Answer

Kutaura nezvemutemo + pfungwa. Scribble inogadzirisa kuumbwa, iyo prompt inowedzera zvimwe zvinhu. "A red dragon breathing fire on a castle, fantasy oil painting, dramatic lighting" inokunda "a dragon".

Question 7

Ndinogona here kudzora kuti zvinyorwa zvichateverwa sei?

Accepted Answer

ControlNet simba slider (default 0.7). 1.0 = zvakaoma (zvakagadzirwa zvinooneka seyakagadzirirwa vhezheni yezvinyorwa zvako zvakajeka). 0.4 = zvakasununguka (zvinyorwa zvinoratidzwa + zvinyorwa zvinobvumiranwa; zvinogadzirwa zvinoratidzwa zvakachena). Dzvanya pasi kana zvinyorwa zvako zviri zvemaoko chete.

Question 8

Best kushandisa zviitiko?

Accepted Answer

Storyboarding (yakaoma panel sketches → final art), vadiki'mabhuku akagadzirwa sezvinyorwa, nhanho nhanho chimiro sketches yakashandurwa kuita pitch art, brainstorming mavara mazano pasina hunyanzvi hwekudhonza kwakachena.

Question 9

Maitiro ekuenzanisa neControlNet QR / Tile / Brightness zvisarudzo?

Accepted Answer

Zvimwe zvinodzora zviso. Scribble = freehand structural guidance. QR / Tile / Brightness optimize for different things (hidden patterns, photo upscale, lighting). Scribble ndiyo yakakodzera pick for "I drawn something, render it."

Question 10

Ndezvipi zvemukati zvidimbu zvinotsigirwa?

Accepted Answer

Zvinoenderana ne512×512 default. Kusvika 1024×1024 pazviyero zve SDXL. Zvikuru zvidiki zvinodya VRAM netokeni.

Question 11

Zvinyorwa zvekurodha pasi zvinochengetwa here?

Accepted Answer

Yakagadziriswa, yakabuda nechikara, uye yakanga yaiswa pasi. Yakachengetwa chete pa /account/?tab=history iyo yakati wandei yekupedzisira render + prompt. Haizoshandiswa kudzidzisa. /privacy/.

Question 12

Pane API?

Accepted Answer

Yeah — POST multipart kuti /v1/image/generate/ ne model=sdxl, prompt, control_image (file), control_type=scribble. Bearer auth, 10K yemahara yemwedzi tokens. /api/ ine curl mifananidzo.

Scribble → Image (ControlNet)

Chikamu

Scribble → Image (ControlNet)

Chikamu

30,000 Free Tokens, Every Day

Waiti: 30K yemahara tokens/zuva!

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