Handheld camera movements from Image with Wan 2.5
Transform static images into dynamic Handheld camera movements with immersive audio using Wan 2.5.
~$0.8586
1import requests
2import time
3import json
4
5api_key = "YOUR_API_KEY"
6url = "https://api.segmind.com/workflows/691ec3de0a5320df261feaca-v2"
7
8data = {
9 "Input_Prompt": "create a walking video of the couple in the photo, captured through a handheld camera with a raw handheld camera movement and create a gentle depth of field. The camera moves handheld style alongside them with subtle handheld trembles, slightly swaying and adjusting focus between their expressive close-ups and broader framing, capturing the rhythm of their interaction. The overall visual tone is cinematic and intimate, with realistic lighting, soft motion blur, and a smooth, immersive handheld tracking shot emphasizing the natural mood and warmth of the moment.\n\nno talking should be there and a nice background bgm should be the audio",
10 "image_Input": "https://segmind-inference-inputs.s3.amazonaws.com/aee2d2da-b86c-4456-b916-4e71773e0a50-Gemini_Generated_Image_ecqiececqiececqi.png"
11}
12
13def poll_for_result(poll_url):
14 """Poll the API until the generation is complete"""
15 while True:
16 response = requests.get(
17 poll_url,
18 headers={'Authorization': f'Bearer {api_key}'}
19 )
20 result = response.json()
21
22 if result['status'] == 'COMPLETED':
23 # Parse the output (it's a JSON string)
24 outputs = json.loads(result['output'])
25 return outputs
26 elif result['status'] == 'FAILED':
27 raise Exception(result.get('error', 'Generation failed'))
28
29 # Wait 7 seconds before polling again
30 time.sleep(7)
31
32# Make the initial request
33response = requests.post(
34 url,
35 json=data,
36 headers={
37 'Authorization': f'Bearer {api_key}',
38 'Content-Type': 'application/json'
39 }
40)
41
42if response.status_code == 200:
43 result = response.json()
44 print('Request queued:', result)
45
46 # Start polling for results
47 outputs = poll_for_result(result['poll_url'])
48 print('Generation complete:', outputs)
49else:
50 print(f"Error: {response.status_code}")
51 print(response.text) 1import requests
2import time
3import json
4
5api_key = "YOUR_API_KEY"
6url = "https://api.segmind.com/workflows/691ec3de0a5320df261feaca-v2"
7
8data = {
9 "Input_Prompt": "create a walking video of the couple in the photo, captured through a handheld camera with a raw handheld camera movement and create a gentle depth of field. The camera moves handheld style alongside them with subtle handheld trembles, slightly swaying and adjusting focus between their expressive close-ups and broader framing, capturing the rhythm of their interaction. The overall visual tone is cinematic and intimate, with realistic lighting, soft motion blur, and a smooth, immersive handheld tracking shot emphasizing the natural mood and warmth of the moment.\n\nno talking should be there and a nice background bgm should be the audio",
10 "image_Input": "https://segmind-inference-inputs.s3.amazonaws.com/aee2d2da-b86c-4456-b916-4e71773e0a50-Gemini_Generated_Image_ecqiececqiececqi.png"
11}
12
13def poll_for_result(poll_url):
14 """Poll the API until the generation is complete"""
15 while True:
16 response = requests.get(
17 poll_url,
18 headers={'Authorization': f'Bearer {api_key}'}
19 )
20 result = response.json()
21
22 if result['status'] == 'COMPLETED':
23 # Parse the output (it's a JSON string)
24 outputs = json.loads(result['output'])
25 return outputs
26 elif result['status'] == 'FAILED':
27 raise Exception(result.get('error', 'Generation failed'))
28
29 # Wait 7 seconds before polling again
30 time.sleep(7)
31
32# Make the initial request
33response = requests.post(
34 url,
35 json=data,
36 headers={
37 'Authorization': f'Bearer {api_key}',
38 'Content-Type': 'application/json'
39 }
40)
41
42if response.status_code == 200:
43 result = response.json()
44 print('Request queued:', result)
45
46 # Start polling for results
47 outputs = poll_for_result(result['poll_url'])
48 print('Generation complete:', outputs)
49else:
50 print(f"Error: {response.status_code}")
51 print(response.text)API Endpoint
POST
https://api.segmind.com/workflows/691ec3de0a5320df261feaca-v2Parameters
Input_PromptoptionalstringInput Prompt
Default:
"create a walking video of the couple in the photo, captured through a handheld camera with a raw handheld camera movement and create a gentle depth of field. The camera moves handheld style alongside them with subtle handheld trembles, slightly swaying and adjusting focus between their expressive close-ups and broader framing, capturing the rhythm of their interaction. The overall visual tone is cinematic and intimate, with realistic lighting, soft motion blur, and a smooth, immersive handheld tracking shot emphasizing the natural mood and warmth of the moment.\n\nno talking should be there and a nice background bgm should be the audio"image_Inputoptionalstring (uri)Image Input
Default:
"https://segmind-inference-inputs.s3.amazonaws.com/aee2d2da-b86c-4456-b916-4e71773e0a50-Gemini_Generated_Image_ecqiececqiececqi.png"Response Format
Returns: Polling-based asynchronous response
Initial request returns a poll_url. Poll every 7 seconds until status is COMPLETED.
Common Error Codes
The API returns standard HTTP status codes. Detailed error messages are provided in the response body.
400
Bad Request
Invalid parameters or request format
401
Unauthorized
Missing or invalid API key
403
Forbidden
Insufficient permissions
404
Not Found
Workflow not found
406
Insufficient Credits
Not enough credits to process request
429
Rate Limited
Too many requests
500
Server Error
Internal server error
502
Bad Gateway
Service temporarily unavailable
504
Timeout
Request timed out