ControlNet 主要终端

您现在可以使用 ControlNet 控制稳定扩散。ControlNet 模型在此 API 中可用。

您现在可以使用 ControlNet 控制稳定扩散。ControlNet 模型在此 API 中可用。

提示

您还可以使用此端点通过 ControlNet 修复图像。只需确保将链接传递到mask_image请求正文中，并使用controlnet_model带有“inpaint”值的参数即可。

信息

在深入了解之前，请阅读我们有关 ControlNet 优势的详细**博客文章。**

POST向 https://stablediffusionapi.com/api/v5/controlnet 接口发送请求。

提示

您也可以使用多个 ControlNet 模型。只需在请求体中,将逗号分隔的控制网模型作为"canny,depth" 传递给 controlnet_model,并将 init_image 传入即可。

模型

默认使用 Controlnet 1.1 的 ControlNet API： 支持的 controlnet_model：

• canny - Canny边缘检测
• depth - 深度估计
• hed - 图像边缘检测
• mlsd - 多尺度线段检测
• normal - 法线估计
• openpose - 开源人体姿态估计
• scribble - 图像涂鸦
• segmentation - 图像分割
• aesthetic-controlnet - 美学评价
• inpaint - 图像修复
• softedge - 图片边缘平滑
• lineart - 线条绘制
• shuffle - 风格迁移
• tile - 平铺纹理合成
• face_detector - 人脸检测
• qrcode - QR码检测

调度程序

该端点还支持调度程序。使用请求正文中的“scheduler”参数传递以下列表中的特定调度程序：

该接口还支持调度程序。使用请求正文中的“scheduler”参数来设置要从以下列表中使用的特定调度程序：

• DDPMScheduler
• DDIMScheduler
• PNDMScheduler
• LMSDiscreteScheduler
• EulerDiscreteScheduler
• EulerAncestralDiscreteScheduler
• DPMSolverMultistepScheduler
• HeunDiscreteScheduler
• KDPM2DiscreteScheduler
• DPMSolverSinglestepScheduler
• KDPM2AncestralDiscreteScheduler
• UniPCMultistepScheduler
• DDIMInverseScheduler
• DEISMultistepScheduler
• IPNDMScheduler
• KarrasVeScheduler
• ScoreSdeVeScheduler

{
  "key": "",
  "controlnet_model": "canny",
  "controlnet_type": "canny",
  "model_id": "midjourney",
  "auto_hint": "yes",
  "guess_mode": "no",
  "prompt": "a model doing photoshoot, ultra high resolution, 4K image",
  "negative_prompt": null,
  "init_image": "https://huggingface.co/takuma104/controlnet_dev/resolve/main/gen_compare/control_images/converted/control_human_openpose.png",
  "mask_image": null,
  "width": "512",
  "height": "512",
  "samples": "1",
  "scheduler": "UniPCMultistepScheduler",
  "num_inference_steps": "30",
  "safety_checker": "no",
  "enhance_prompt": "yes",
  "guidance_scale": 7.5,
  "controlnet_conditioning_scale": 0.5,
  "strength": 0.55,
  "lora_model": "more_details",
  "clip_skip": "2",
  "tomesd": "yes",
  "use_karras_sigmas": "yes",
  "vae": null,
  "lora_strength": null,
  "embeddings_model": null,
  "seed": null,
  "webhook": null,
  "track_id": null
}

{
  "status": "processing",
  "tip": "for faster speed, keep resolution upto 512x512",
  "eta": 146.5279869184,
  "messege": "Try to fetch request after given estimated time",
  "fetch_result": "https://stablediffusionapi.com/api/v3/fetch/13902970",
  "id": 13902970,
  "output": "",
  "meta": {
    "prompt": "mdjrny-v4 style a model doing photoshoot, ultra high resolution, 4K image",
    "model_id": "midjourney",
    "controlnet_model": "canny",
    "controlnet_type": "canny",
    "negative_prompt": "",
    "scheduler": "UniPCMultistepScheduler",
    "safetychecker": "no",
    "auto_hint": "yes",
    "guess_mode": "no",
    "strength": 0.55,
    "W": 512,
    "H": 512,
    "guidance_scale": 3,
    "seed": 4016593698,
    "multi_lingual": "no",
    "init_image": "https://huggingface.co/takuma104/controlnet_dev/resolve/main/gen_compare/control_images/converted/control_human_openpose.png",
    "mask_image": null,
    "steps": 20,
    "full_url": "no",
    "upscale": "no",
    "n_samples": 1,
    "embeddings": null,
    "lora": null,
    "outdir": "out",
    "file_prefix": "c8bb8efe-b437-4e94-b508-a6b4705f366a"
  }
}