## Basic tool info Tool name: wiro/image-to-video-wan2.1-effects Tool description: Wan2.1, a comprehensive and open suite of video foundation models that pushes the boundaries of video generation. Wan2.1 is designed on the mainstream diffusion transformer paradigm, achieving significant advancements in generative capabilities through a series of innovations. These include our novel spatio-temporal variational autoencoder (VAE), scalable training strategies, large-scale data construction, and automated evaluation metrics. Collectively, these contributions enhance the model’s performance and versatility. Tool cover: https://cdn.wiro.ai/uploads/models/wiro-image-to-video-wan2.1-effects-cover.mp4 Tool categories: - image-to-video - persistent - h100 - tool - lora-wan2.1 - wan2.1 - compare-landscape Tool tags: - image-to-video - video-generation - apache-2.0 - video Run Task Endpoint (POST): https://api.wiro.ai/v1/Run/wiro/image-to-video-wan2.1-effects 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: "942" label: Wan-AI/Wan2.1-I2V-14B-720P description: Wan2.1-I2V-14B-720P is a cutting-edge image-to-video model that transforms an image into high-quality, coherent video content. Ideal for generating videos from imagination with precision and clarity. triggerwords: [] generatesettings: [] - value: "931" label: Wan-AI/Wan2.1-I2V-14B-480P description: Wan2.1-I2V-14B-480P is a cutting-edge image-to-video model that transforms an image into high-quality, coherent video content. Ideal for generating videos from imagination with precision and clarity. triggerwords: [] generatesettings: [] - name: selectedLoraModel label: select-lora-model help: select-lora-model-help type: select default: options: - value: "1034" label: Remade-AI/Hug-Jesus description: Wan2.1 Hug Jesus Effect LoRA triggerwords: ["h54g hugs jesus"] generatesettings: [{"type":"float","template":"","id":"Hug-Jesus","placeholder":"Hug-Jesus scale","label":"Hug-Jesus scale","minvalue":"0.00","maxvalue":"1","value":"1.0","defaultvalue":"1.0","incrementby":"0.1","options":[],"note":""}] - value: "1037" label: Remade-AI/Explode description: Wan2.1 Explode Effect LoRA triggerwords: ["3xp105ion huge explosion"] generatesettings: [{"type":"float","template":"","id":"Explode","placeholder":"Explode scale","label":"Explode scale","minvalue":"0.00","maxvalue":"1","value":"1.0","defaultvalue":"1.0","incrementby":"0.1","options":[],"note":""}] - value: "1021" label: Remade-AI/Mona-Lisa description: Wan2.1 Mona Lisa Effect LoRA triggerwords: ["m0n4 Mona Lisa transformation"] generatesettings: [{"type":"float","template":"","id":"Mona-Lisa","placeholder":"Mona-Lisa scale","label":"Mona-Lisa scale","minvalue":"0.00","maxvalue":"1","value":"1.0","defaultvalue":"1.0","incrementby":"0.1","options":[],"note":""}] - value: "1029" label: Remade-AI/Painting description: Wan2.1 Painting Effect LoRA triggerwords: ["p41nt1ng painting frame it"] generatesettings: [{"type":"float","template":"","id":"Painting","placeholder":"Painting scale","label":"Painting scale","minvalue":"0.00","maxvalue":"1","value":"1.0","defaultvalue":"1.0","incrementby":"0.1","options":[],"note":""}] - value: "1301" label: codexq/Particalize description: It is a lora that can Particalize anything. triggerwords: ["something is disintegrating or turning into something"] generatesettings: [{"type":"float","template":"","id":"Particalize","placeholder":"Particalizescale","label":"Particalizescale","minvalue":"0.00","maxvalue":"1","value":"1.0","defaultvalue":"1.0","incrementby":"0.1","options":[],"note":""}] - name: selectedLoraModelPrivate label: select-lora-model-private help: select-lora-model-private-help type: select default: options: - name: selectedLoraModelPrivateUrl label: LoRA Model Url help: You can provide a direct URL to a LoRA model (.safetensors). We’ll apply it during generation. You can also use links from platforms like Google Drive, AWS S3, or any publicly accessible file host. type: text default: - name: inputImageUrl label: input-image-url help: input-image-url-help type: text default: - name: prompt label: prompt help: prompt-help type: textarea default: - name: negativePrompt label: negativePrompt help: negative prompt type: textarea default: - name: fps label: fps help: numberofoutputs-help type: number default: 16 - name: width label: width help: width-help type: number default: 0 - name: height label: height help: height-help type: number default: 0 - name: numFrames label: num-frames help: 4*n + 1 type: number default: 81 - name: steps label: inferencesteps help: inferencesteps-help type: number default: 25 - name: scale label: guidancescale help: guidancescale-help type: float default: 5.0 - name: flowShift label: flowShift help: flow shift type: float default: 5.0 ## 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/image-to-video-wan2.1-effects" -H "Content-Type: multipart/form-data" -H "x-api-key: ${YOUR_API_KEY}" -H "x-nonce: ${NONCE}" -H "x-signature: ${SIGNATURE}" -d '{ "selectedModel": "", "selectedLoraModel": [], "selectedLoraModelPrivateUrl": "", "inputImageUrl": "ltx_i2t_cover.png", "prompt": "", "negativePrompt": "", "fps": 16, "width": 0, "height": 0, "numFrames": 81, "steps": 25, "scale": "5.0", "flowShift": "5.0", "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.