## Basic tool info Tool name: wiro/controlnet-sd Tool description: ControlNet is a neural network structure to control diffusion models by adding extra conditions. Tool cover: https://cdn.wiro.ai/uploads/models/wiro-sd-controlnet-cover.jpg Tool categories: - tool - sd - image-to-image - controlnet-sd Run Task Endpoint (POST): https://api.wiro.ai/v1/Run/wiro/controlnet-sd Get Task Detail Endpoint (POST): https://api.wiro.ai/v1/Task/Detail ## Tool Inputs: - name: selectedModel label: select-model help: select-model-help type: select default: options: - value: "822" label: aji1/helloimpasto description: helloimpasto triggerwords: ["Impasto,digital art"] generatesettings: [] - value: "1083" label: PromptSharingSamaritan/Disney-Pixar-Cartoon-type-B description: Disney Pixar Cartoon type B triggerwords: [] generatesettings: [] - value: "3" label: stabilityai/stable-diffusion-2-1 description: Model is fine-tuned from stable-diffusion-2 with an additional 55k steps on the same dataset, and then fine-tuned for another 155k extra steps. triggerwords: [] generatesettings: [] - value: "816" label: oosayam/UnstableInkDream description: UnstableInkDream triggerwords: [] generatesettings: [] - value: "485" label: SG161222/Realistic Vision v5.1 VAE description: An instruction-based image editing model triggerwords: [] generatesettings: [] - name: selectedModelPrivate label: select-model-private help: select-model-private-help type: select default: options: - name: selectedControlnetModel label: select-controlnet-model help: select-controlnet-model-help type: multiselect default: options: - value: "450" label: lllyasviel/control_v11e_sd15_ip2p description: ControlNet is a neural network structure to control diffusion models by adding extra conditions. triggerwords: [] generatesettings: [{"type":"float","template":"","id":"control_v11e_sd15_ip2p","placeholder":"control_v11e_sd15_ip2p scale","label":"control_v11e_sd15_ip2p scale","minvalue":"0.00","maxvalue":"1","value":"1.0","defaultvalue":"1.0","incrementby":"0.1","options":[],"note":""}] - value: "448" label: lllyasviel/control_v11p_sd15_seg description: ControlNet is a neural network structure to control diffusion models by adding extra conditions. triggerwords: [] generatesettings: [{"type":"float","template":"","id":"control_v11p_sd15_seg","placeholder":"control_v11p_sd15_seg scale","label":"control_v11p_sd15_seg scale","minvalue":"0.00","maxvalue":"1","value":"1.0","defaultvalue":"1.0","incrementby":"0.1","options":[],"note":""}] - value: "443" label: lllyasviel/control_v11p_sd15_canny description: ControlNet is a neural network structure to control diffusion models by adding extra conditions. triggerwords: [] generatesettings: [{"type":"float","template":"","id":"control_v11p_sd15_canny","placeholder":"control_v11p_sd15_canny scale","label":"control_v11p_sd15_canny scale","minvalue":"0.00","maxvalue":"1","value":"1.0","defaultvalue":"1.0","incrementby":"0.1","options":[],"note":""}] - value: "447" label: lllyasviel/control_v11p_sd15_normalbae description: ControlNet is a neural network structure to control diffusion models by adding extra conditions. triggerwords: [] generatesettings: [{"type":"float","template":"","id":"control_v11p_sd15_normalbae","placeholder":"control_v11p_sd15_normalbae scale","label":"control_v11p_sd15_normalbae scale","minvalue":"0.00","maxvalue":"1","value":"1.0","defaultvalue":"1.0","incrementby":"0.1","options":[],"note":""}] - value: "452" label: lllyasviel/sd-controlnet-hed description: ControlNet is a neural network structure to control diffusion models by adding extra conditions. triggerwords: [] generatesettings: [{"type":"float","template":"","id":"sd-controlnet-hed","placeholder":"sd-controlnet-hed scale","label":"sd-controlnet-hed scale","minvalue":"0.00","maxvalue":"1","value":"1.0","defaultvalue":"1.0","incrementby":"0.1","options":[],"note":""}] - name: preprocess label: controlnet-preprocess help: controlnet-preprocess-help type: checkbox default: --pre_process - name: prompt label: prompt help: prompt-help type: textarea default: Darth vader dancing in a desert, high quality - name: negativePrompt label: negativeprompt help: negativeprompt-help type: textarea default: low quality, bad quality - name: samples label: numberofoutputs help: numberofoutputs-help type: number default: 4 - name: steps label: inferencesteps help: inferencesteps-help type: number default: 30 - name: scale label: guidancescale help: guidancescale-help type: float default: 7.5 - name: seed label: seed help: seed-help type: text default: 123456 - name: scheduler label: scheduler help: scheduler-help type: select default: EulerDiscreteScheduler options: - value: "EulerDiscreteScheduler" label: EulerDiscreteScheduler - value: "DDIMScheduler" label: DDIMScheduler - value: "LMSDiscreteScheduler" label: LMSDiscreteScheduler - value: "DPMSolverMultistepScheduler" label: DPMSolverMultistepScheduler - value: "EulerDiscreteScheduler" label: EulerDiscreteScheduler - value: "PNDMScheduler" label: PNDMScheduler - value: "DDPMScheduler" label: DDPMScheduler - value: "EulerAncestralDiscreteScheduler" label: EulerAncestralDiscreteScheduler - name: width label: width help: width-help type: number default: 512 - name: height label: height help: height-help type: number default: 512 ## Integration Header Prepare ```bash # Sign up Wiro dashboard and create project export YOUR_API_KEY="{{useSelectedProjectAPIKey}}"; export YOUR_API_SECRET="XXXXXXXXX"; # unix time or any random integer value export NONCE=$(date +%s); # hmac-SHA256 (YOUR_API_SECRET+Nonce) with YOUR_API_KEY export SIGNATURE="$(echo -n "${YOUR_API_SECRET}${NONCE}" | openssl dgst -sha256 -hmac "${YOUR_API_KEY}")"; ``` ## Run Command - Make HTTP Post Request ```bash curl -X POST "https://api.wiro.ai/v1/Run/wiro/controlnet-sd" -H "Content-Type: multipart/form-data" -H "x-api-key: ${YOUR_API_KEY}" -H "x-nonce: ${NONCE}" -H "x-signature: ${SIGNATURE}" -d '{ "selectedModel": "", "selectedModelPrivate": "", "selectedControlnetModel": [], "preprocess": "--pre_process", "prompt": "Darth vader dancing in a desert, high quality", "negativePrompt": "low quality, bad quality", "samples": 4, "steps": 30, "scale": "7.5", "seed": "123456", "scheduler": "EulerDiscreteScheduler", "width": 512, "height": 512, "callbackUrl": "You can provide a callback URL; Wiro will send a POST request to it when the task is completed." }'; ``` ## Run Command - Response ```json { "errors": [], "taskid": "2221", "socketaccesstoken": "eDcCm5yyUfIvMFspTwww49OUfgXkQt", "result": true } ``` ## Get Task Detail - Make HTTP Post Request ```bash curl -X POST "https://api.wiro.ai/v1/Task/Detail" -H "Content-Type: multipart/form-data" -H "x-api-key: ${YOUR_API_KEY}" -H "x-nonce: ${NONCE}" -H "x-signature: ${SIGNATURE}" -d '{ "tasktoken": 'eDcCm5yyUfIvMFspTwww49OUfgXkQt', }'; ``` ## Get Task Detail - Response ```json { "total": "1", "errors": [], "tasklist": [ { "id": "2221", "uuid": "15bce51f-442f-4f44-a71d-13c6374a62bd", "socketaccesstoken": "eDcCm5yyUfIvMFspTwww49OUfgXkQt", "parameters": {}, "debugoutput": "", "debugerror": "", "starttime": "1734513809", "endtime": "1734513813", "elapsedseconds": "6.0000", "status": "task_postprocess_end", "createtime": "1734513807", "canceltime": "0", "assigntime": "1734513807", "accepttime": "1734513807", "preprocessstarttime": "1734513807", "preprocessendtime": "1734513807", "postprocessstarttime": "1734513813", "postprocessendtime": "1734513814", "outputs": [ { "id": "6bc392c93856dfce3a7d1b4261e15af3", "name": "0.png", "contenttype": "image/png", "parentid": "6c1833f39da71e6175bf292b18779baf", "uuid": "15bce51f-442f-4f44-a71d-13c6374a62bd", "size": "202472", "addedtime": "1734513812", "modifiedtime": "1734513812", "accesskey": "dFKlMApaSgMeHKsJyaDeKrefcHahUK", "url": "https://cdn1.wiro.ai/6a6af820-c5050aee-40bd7b83-a2e186c6-7f61f7da-3894e49c-fc0eeb66-9b500fe2/0.png" } ], "size": "202472" } ], "result": true } ``` ## Task Status Information This section defines the possible task status values returned by the API when polling for task completion. ### Completed Task Statuses (Polling can stop) These indicate that the task has reached a terminal state — either success or failure. Once any of these is received, polling should stop. - task_postprocess_end : Task completed successfully and post-processing is done. - task_cancel : Task was cancelled by the user or system. ### Running Task Statuses (Continue polling) These statuses indicate that the task is still in progress. Polling should continue if one of these is returned. - task_queue : Task is waiting in the queue. - task_accept : Task has been accepted for processing. - task_assign : Task is being assigned to a worker. - task_preprocess_start : Preprocessing is starting. - task_preprocess_end : Preprocessing is complete. - task_start : Task execution has started. - task_output : Output is being generated.