Platform For AI:Use ComfyUI to deploy an AI video generation model service

Online debugging

Only Standard Edition services support online debugging.

1. On the Elastic Algorithm Service (EAS) page, find the service that you want to debug and click Online Debugging in the Actions column.

2. Send a POST request to obtain the prompt ID.

   1. In the Request Parameter Online Tuning section, enter /prompt in the request URL input box and enter the request body in the Body code editor.

   2. Click Send Request and view the returned result in the Debugging Information section. The following figure shows an example.

3. Send a GET request to obtain the inference result based on the prompt ID.

   1. In the Request Parameter Online Tuning section, select GET from the drop-down list and enter /history/<prompt id> in the input box.

      Replace <prompt id> with the prompt ID that you obtained in Step 3.

   2. Click Send Request to obtain the inference result.

      You can view the inference result in the output directory of the mounted storage.

Synchronous calls

Only Standard Edition services support synchronous calls.

1. View the information about API calls.

   1. In the service list, click the name of the Standard Edition service. In the Basic Information section, click View Endpoint Information.

   2. On the Public Endpoint tab of the Invocation Method dialog box, obtain the service endpoint and token.

2. Send a POST request to obtain the prompt ID.

   Curl

   • HTTP request method: POST

   • Request URL: <service_url>/prompt

   • Request header:

     Request header	Value	Description
     Authorization	<token>	The authorization key.
     Content-Type	application/json	The format of the request body.

   • Sample code

     curl --location --request POST '<service_url>/prompt' \
     --header 'Authorization: <token>' \
     --header 'Content-Type: application/json' \
     --data-raw '{
         "prompt":
         Omitted
     }'

     The following table describes the key parameters.

     Parameter	Description
     <service_url>	Replace the value with the endpoint that you obtained in Step 1. Delete the forward slash ( /) at the end of the endpoint. Example: http://comfyui****.175805416243****.cn-beijing.pai-eas.aliyuncs.com.
     <token>	Replace the value with the token that you obtained in Step 1. Example: ZGJmNzcwYjczODE1MmVlNWY1NTNiNGYxNDkzODI****NzU2NTFiOA==.
     data-raw	Set the value to the request body. Example: Important The first letter of the Boolean value (true and false) in the request body must be lowercase. Click to view a sample request body { "prompt": { "3": { "inputs": { "seed": 367490676387803, "steps": 40, "cfg": 7, "sampler_name": "dpmpp_sde_gpu", "scheduler": "karras", "denoise": 1, "model": [ "4", 0 ], "positive": [ "6", 0 ], "negative": [ "7", 0 ], "latent_image": [ "5", 0 ] }, "class_type": "KSampler", "_meta": { "title": "K sampler" } }, "4": { "inputs": { "ckpt_name": "LandscapeBING_v10.safetensors" }, "class_type": "CheckpointLoaderSimple", "_meta": { "title": "Checkpoint loader (simple)" } }, "5": { "inputs": { "width": 720, "height": 1280, "batch_size": 1 }, "class_type": "EmptyLatentImage", "_meta": { "title": "Empty Latent" } }, "6": { "inputs": { "text": "Rocket takes off from the ground, fire,sky, airplane", "clip": [ "4", 1 ] }, "class_type": "CLIPTextEncode", "_meta": { "title": "CLIP text encoder" } }, "7": { "inputs": { "text": "", "clip": [ "4", 1 ] }, "class_type": "CLIPTextEncode", "_meta": { "title": "CLIP text encoder" } }, "8": { "inputs": { "samples": [ "3", 0 ], "vae": [ "4", 2 ] }, "class_type": "VAEDecode", "_meta": { "title": "VAE decoding" } }, "9": { "inputs": { "filename_prefix": "ComfyUI", "images": [ "8", 0 ] }, "class_type": "SaveImage", "_meta": { "title": "Save the image" } }, "13": { "inputs": { "seed": 510424455529432, "steps": 40, "cfg": 2.5, "sampler_name": "euler_ancestral", "scheduler": "karras", "denoise": 1, "model": [ "17", 0 ], "positive": [ "16", 0 ], "negative": [ "16", 1 ], "latent_image": [ "16", 2 ] }, "class_type": "KSampler", "_meta": { "title": "K sampler" } }, "14": { "inputs": { "samples": [ "13", 0 ], "vae": [ "18", 2 ] }, "class_type": "VAEDecode", "_meta": { "title": "VAE decoding" } }, "15": { "inputs": { "filename_prefix": "ComfyUI", "fps": 10, "lossless": false, "quality": 85, "method": "default", "images": [ "14", 0 ] }, "class_type": "SaveAnimatedWEBP", "_meta": { "title": "Save WEBP" } }, "16": { "inputs": { "width": 512, "height": 768, "video_frames": 35, "motion_bucket_id": 140, "fps": 15, "augmentation_level": 0.15, "clip_vision": [ "18", 1 ], "init_image": [ "8", 0 ], "vae": [ "18", 2 ] }, "class_type": "SVD_img2vid_Conditioning", "_meta": { "title": "SVD_Image to Video_Condition" } }, "17": { "inputs": { "min_cfg": 1, "model": [ "18", 0 ] }, "class_type": "VideoLinearCFGGuidance", "_meta": { "title": "Linear CFG Bootstrap" } }, "18": { "inputs": { "ckpt_name": "svd_xt_image_decoder.safetensors" }, "class_type": "ImageOnlyCheckpointLoader", "_meta": { "title": "Checkpoint loader (image only)" } }, "19": { "inputs": { "frame_rate": 10, "loop_count": 0, "filename_prefix": "comfyUI", "format": "video/h264-mp4", "pix_fmt": "yuv420p", "crf": 20, "save_metadata": true, "pingpong": false, "save_output": true, "images": [ "14", 0 ] }, "class_type": "VHS_VideoCombine", "_meta": { "title": "Merge to video" } } } }

   Python

   Sample code:

   import requests
   
   url = "<service_url>/prompt"
   
   payload = {
       "prompt":
       Omitted
   }
   
   session = requests.session()
   session.headers.update({"Authorization":"<token>"})
   
   
   response = session.post(url=f'{url}', json=payload)
   if response.status_code != 200:
       raise Exception(response.content)
   
   data = response.json()
   print(data)

   The following table describes the key parameters.

   Parameter	Cluster Description
   <service_url>	Replace the value with the endpoint that you obtained in Step 1. Delete the forward slash (/) at the end of the endpoint. Example: http://comfyui****.175805416243****.cn-beijing.pai-eas.aliyuncs.com.
   <token>	Replace the value with the token that you obtained in Step 1. ZGJmNzcwYjczODE1MmVlNWY1NTNiNGYxNDkzODI****NzU2NTFiOA==
   payload	Set the value to the request body. Example: Important The first letter of the Boolean value (True and False) in the request body must be uppercase. Click to view a sample request body { "prompt": { "3": { "inputs": { "seed": 367490676387803, "steps": 40, "cfg": 7, "sampler_name": "dpmpp_sde_gpu", "scheduler": "karras", "denoise": 1, "model": [ "4", 0 ], "positive": [ "6", 0 ], "negative": [ "7", 0 ], "latent_image": [ "5", 0 ] }, "class_type": "KSampler", "_meta": { "title": "K sampler" } }, "4": { "inputs": { "ckpt_name": "LandscapeBING_v10.safetensors" }, "class_type": "CheckpointLoaderSimple", "_meta": { "title": "Checkpoint loader (simple)" } }, "5": { "inputs": { "width": 720, "height": 1280, "batch_size": 1 }, "class_type": "EmptyLatentImage", "_meta": { "title": "Empty Latent" } }, "6": { "inputs": { "text": "Rocket takes off from the ground, fire,sky, airplane", "clip": [ "4", 1 ] }, "class_type": "CLIPTextEncode", "_meta": { "title": "CLIP text encoder" } }, "7": { "inputs": { "text": "", "clip": [ "4", 1 ] }, "class_type": "CLIPTextEncode", "_meta": { "title": "CLIP text encoder" } }, "8": { "inputs": { "samples": [ "3", 0 ], "vae": [ "4", 2 ] }, "class_type": "VAEDecode", "_meta": { "title": "VAE decoding" } }, "9": { "inputs": { "filename_prefix": "ComfyUI", "images": [ "8", 0 ] }, "class_type": "SaveImage", "_meta": { "title": "Save the image" } }, "13": { "inputs": { "seed": 510424455529432, "steps": 40, "cfg": 2.5, "sampler_name": "euler_ancestral", "scheduler": "karras", "denoise": 1, "model": [ "17", 0 ], "positive": [ "16", 0 ], "negative": [ "16", 1 ], "latent_image": [ "16", 2 ] }, "class_type": "KSampler", "_meta": { "title": "K sampler" } }, "14": { "inputs": { "samples": [ "13", 0 ], "vae": [ "18", 2 ] }, "class_type": "VAEDecode", "_meta": { "title": "VAE decoding" } }, "15": { "inputs": { "filename_prefix": "ComfyUI", "fps": 10, "lossless": False, "quality": 85, "method": "default", "images": [ "14", 0 ] }, "class_type": "SaveAnimatedWEBP", "_meta": { "title": "Save WEBP" } }, "16": { "inputs": { "width": 512, "height": 768, "video_frames": 35, "motion_bucket_id": 140, "fps": 15, "augmentation_level": 0.15, "clip_vision": [ "18", 1 ], "init_image": [ "8", 0 ], "vae": [ "18", 2 ] }, "class_type": "SVD_img2vid_Conditioning", "_meta": { "title": "SVD_Image to Video_Condition" } }, "17": { "inputs": { "min_cfg": 1, "model": [ "18", 0 ] }, "class_type": "VideoLinearCFGGuidance", "_meta": { "title": "Linear CFG Bootstrap" } }, "18": { "inputs": { "ckpt_name": "svd_xt_image_decoder.safetensors" }, "class_type": "ImageOnlyCheckpointLoader", "_meta": { "title": "Checkpoint loader (image only)" } }, "19": { "inputs": { "frame_rate": 10, "loop_count": 0, "filename_prefix": "comfyUI", "format": "video/h264-mp4", "pix_fmt": "yuv420p", "crf": 20, "save_metadata": True, "pingpong": False, "save_output": True, "images": [ "14", 0 ] }, "class_type": "VHS_VideoCombine", "_meta": { "title": "Merge to video" } } } }

   Sample response:

   {
       "prompt_id": "021ebc5b-e245-4e37-8bd3-00f7b949****",
       "number": 5,
       "node_errors": {}
   }

   You can obtain the prompt ID from the response.

3. Send a request to obtain the inference result.

   Curl

   • HTTP request method: GET

   • Request URL: <service_url>/history/<prompt_id>

   • Request header:

     Request header	Value	Description
     Authorization	<token>	The authorization key.

   • Sample code:

     curl --location --request GET '<service_url>/history/<prompt_id>' \
          --header 'Authorization: <token>'

     The following table describes the key parameters.

     Parameter	Cluster Description
     <service_url>	Replace the value with the endpoint that you obtained in Step 1. Delete the forward slash ( /) at the end of the endpoint. Example: http://comfyui****.175805416243****.cn-beijing.pai-eas.aliyuncs.com.
     <token>	Replace the value with the token that you obtained in Step 1. Example: ZGJmNzcwYjczODE1MmVlNWY1NTNiNGYxNDkzODI****NzU2NTFiOA==.
     <prompt_id>	Replace the value with the prompt ID that you obtained in Step 2.

   Python

   Sample code:

   import requests
   
   # Create the request URL. 
   url = "<service_url>/history/<prompt_id>"
   
   session = requests.session()
   session.headers.update({"Authorization":"<token>"})
   
   response = session.get(url=f'{url}')
   
   if response.status_code != 200:
       raise Exception(response.content)
   
   data = response.json()
   print(data)

   The following table describes the parameters.

   Parameter	Description
   <service_url>	Replace the value with the endpoint that you obtained in Step 1. Delete the forward slash (/) at the end of the endpoint. Example: http://comfyui****.175805416243****.cn-beijing.pai-eas.aliyuncs.com.
   <token>	Replace the value with the token that you obtained in Step 1. Example: ZGJmNzcwYjczODE1MmVlNWY1NTNiNGYxNDkzODI****NzU2NTFiOA==.
   <prompt_id>	Replace the value with the prompt ID that you obtained in Step 2.

   Sample response:

   Click to view a sample response

   {
       "130bcd6b-5bb5-496c-9c8c-3a1359a0****": {
           "prompt": ...omitted,
           "outputs": {
               "9": {
                   "images": [
                       {
                           "filename": "ComfyUI_1712645398_18dba34d-df87-4735-a577-c63d5506a6a1_.png",
                           "subfolder": "",
                           "type": "output"
                       }
                   ]
               },
               "15": {
                   "images": [
                       {
                           "filename": "ComfyUI_1712645867_.webp",
                           "subfolder": "",
                           "type": "output"
                       }
                   ],
                   "animated": [
                       true
                   ]
               },
               "19": {
                   "gifs": [
                       {
                           "filename": "comfyUI_00002.mp4",
                           "subfolder": "",
                           "type": "output",
                           "format": "video/h264-mp4"
                       }
                   ]
               }
           },
           "status": {
               "status_str": "success",
               "completed": true,
               "messages": ...omitted,
           }
       }
   }
   

   In the preceding sample response, the generated image, WEBP file, and MP4 video are returned in the outputs section. You can find the files by name in the output directory of the mounted storage.

Asynchronous calls