MiniMax H3

# 1. Create the task and get a task_id
curl https://api.tokenfab.cn/minimax/v2/video_generation \
  -H "Authorization: Bearer $TOKENFAB_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "MiniMax-H3",
    "content": [
      {"type": "text", "text": "A puppy flies through the sky as white clouds drift past, tracking shot, cinematic look"}
    ],
    "resolution": "768P",
    "duration": 5,
    "ratio": "16:9"
  }'

# 2. Poll the task (every 5 s is recommended) until status is succeeded or failed
curl https://api.tokenfab.cn/minimax/v2/query/video_generation/5708273498515694596 \
  -H "Authorization: Bearer $TOKENFAB_API_KEY"

import os
import time
import requests

BASE_URL = "https://api.tokenfab.cn"
headers = {"Authorization": f"Bearer {os.environ['TOKENFAB_API_KEY']}"}

resp = requests.post(
    f"{BASE_URL}/minimax/v2/video_generation",
    headers=headers,
    json={
        "model": "MiniMax-H3",
        "content": [{"type": "text", "text": "A puppy flies through the sky as white clouds drift past, tracking shot, cinematic look"}],
        "resolution": "768P",
        "duration": 5,
        "ratio": "16:9",
    },
)
resp.raise_for_status()
task_id = resp.json()["task_id"]

while True:
    task = requests.get(f"{BASE_URL}/minimax/v2/query/video_generation/{task_id}", headers=headers).json()["task"]
    if task["status"] in ("succeeded", "failed"):
        break
    time.sleep(5)

if task["status"] == "succeeded":
    with open(f"{task_id}.mp4", "wb") as f:
        f.write(requests.get(task["content"]["url"]).content)
else:
    print(task["error"])

# 1. Upload the first-frame image to get a file_id
curl https://api.tokenfab.cn/v1/files/upload \
  -H "Authorization: Bearer $TOKENFAB_API_KEY" \
  -F purpose=video_generation_input \
  -F file=@first.png

# 2. Reference the first frame with mm_file://<file_id>
curl https://api.tokenfab.cn/minimax/v2/video_generation \
  -H "Authorization: Bearer $TOKENFAB_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "MiniMax-H3",
    "content": [
      {"type": "text", "text": "The person in the frame slowly turns to look at the camera as a breeze lifts their hair"},
      {"type": "image_url", "image_url": {"url": "mm_file://371903373357265086"}, "role": "first_frame"}
    ],
    "resolution": "768P",
    "duration": 5
  }'

curl https://api.tokenfab.cn/minimax/v2/video_generation \
  -H "Authorization: Bearer $TOKENFAB_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "MiniMax-H3",
    "content": [
      {"type": "text", "text": "The subject transitions naturally from the first frame to the last, with smooth, continuous camera movement"},
      {"type": "image_url", "image_url": {"url": "mm_file://<first_frame_file_id>"}, "role": "first_frame"},
      {"type": "image_url", "image_url": {"url": "mm_file://<last_frame_file_id>"}, "role": "last_frame"}
    ],
    "resolution": "768P",
    "duration": 5
  }'

curl https://api.tokenfab.cn/minimax/v2/video_generation \
  -H "Authorization: Bearer $TOKENFAB_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "MiniMax-H3",
    "content": [
      {"type": "text", "text": "The person in image 1 dances hip-hop following the moves in video 1, with background music referencing audio 1"},
      {"type": "image_url", "image_url": {"url": "mm_file://<image_file_id>"}, "role": "reference_image"},
      {"type": "video_url", "video_url": {"url": "mm_file://<video_file_id>"}, "role": "reference_video"},
      {"type": "audio_url", "audio_url": {"url": "mm_file://<audio_file_id>"}, "role": "reference_audio"}
    ],
    "resolution": "768P",
    "duration": 5,
    "ratio": "16:9"
  }'