Controlnet 1.1 - Inpaint

model_id: inpaint

Model Type: Controlnet

ControlNet is a neural network structure to control diffusion models by adding extra conditions. This checkpoint corresponds to the ControlNet conditioned...

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API Code Snippet

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  curl --location --request POST 'https://stablediffusionapi.com/api/v4/dreambooth' \
  curl  --header 'Content-Type: application/json' \
  {
  "key": "api-key",
  "controlnet_model": "inpaint",
  "prompt": "ultra realistic close up portrait ((beautiful pale cyberpunk female with heavy black eyeliner)), blue eyes, shaved side haircut, hyper detail, cinematic lighting, magic neon, dark red city, Canon EOS R3, nikon, f/1.4, ISO 200, 1/160s, 8K, RAW, unedited, symmetrical balance, in-frame, 8K",
  "negative_prompt": "painting, extra fingers, mutated hands, poorly drawn hands, poorly drawn face, deformed, ugly, blurry, bad anatomy, bad proportions, extra limbs, cloned face, skinny, glitchy, double torso, extra arms, extra hands, mangled fingers, missing lips, ugly face, distorted face, extra legs, anime",
  "width": "512",
  "height": "512",
  "samples": "1",
  "num_inference_steps": "30",
  "seed": null,
  "guidance_scale": 7.5,
  "webhook": null,
  "track_id": null
  }

No. of images generated

1.95 K

Images
Generated

Images generated with Controlnet 1.1 - Inpaint and its prompt

Wearing (wedding dress:1.4), masterpiece, best quality, sharp focus, natural lighting, shadow, (((photorealistic))), octane render, HDR, 8k, high contrast, Canon EOS R3, nikon, f/1.4, ISO 200, 1/160s, 8K, RAW, unedited, symmetrical balance, in frame, 8K