Controlnet 1.1 - Image Segmentation

model_id: segmentation

Model Type: Controlnet

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

Open in Playground

Load in Enterprise

View API Docs

API Code Snippet

Copy

  
  curl --location --request POST 'https://stablediffusionapi.com/api/v4/dreambooth' \
  curl  --header 'Content-Type: application/json' \
  {
  "key": "api-key",
  "controlnet_model": "segmentation",
  "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

48

Images
Generated

Images generated with Controlnet 1.1 - Image Segmentation and its prompt

mdjrny-v4 style Raw photo, modern house, plaster facade, roof cover plaster, clear sky, hd dense autum forest, 8k uhd, dslr, soft lighting, gigh quality, film grain, Fujifilm XT3

nousr robot Raw photo, modern house, plaster facade, roof cover plaster, clear sky, hd dense autum forest, 8k uhd, dslr, soft lighting, gigh quality, film grain, Fujifilm XT3

mdjrny-v4 style Raw photo, modern house, plaster facade, roof cover plaster, clear sky, hd dense autum forest, 8k uhd, dslr, soft lighting, gigh quality, film grain, Fujifilm XT3