Fine-Tune: Text To Video

{
  "resource": "main/your-dataset.parquet",
  "base_model": "<model-canonical-name>",
  "script_type": "text_to_video",
  "training_params": {
    "batch_size": 1,
    "caption_column": "<caption_column>",
    "gradient_accumulation": 1,
    "image_column": "<image_column>",
    "learning_rate": 0.0002,
    "lora_alpha": 16,
    "lora_rank": 16,
    "sample_every": 200,
    "samples": [
      {
        "prompt": "an ox holding a sign that says 'Oxen.ai'"
      },
      {
        "prompt": "a herd of oxen running in a field"
      }
    ],
    "steps": 3000,
    "timestep_type": "weighted",
    "use_lora": true
  }
}

import requests

url = "https://hub.oxen.ai/api/repos/{namespace}/{repo_name}/fine_tunes"
headers = {
    "Authorization": "Bearer YOUR_API_KEY",
    "Content-Type": "application/json"
}

data = {{
  "resource": "main/your-dataset.parquet",
  "base_model": "<model-canonical-name>",
  "script_type": "text_to_video",
  "training_params": {{
    "batch_size": 1,
    "caption_column": "<caption_column>",
    "gradient_accumulation": 1,
    "image_column": "<image_column>",
    "learning_rate": 0.0002,
    "lora_alpha": 16,
    "lora_rank": 16,
    "sample_every": 200,
    "samples": [
      {{
        "prompt": "an ox holding a sign that says 'Oxen.ai'"
      }},
      {{
        "prompt": "a herd of oxen running in a field"
      }}
    ],
    "steps": 3000,
    "timestep_type": "weighted",
    "use_lora": true
  }}
}}

response = requests.post(url, headers=headers, json=data)
print(response.json())

curl -X POST https://hub.oxen.ai/api/repos/{namespace}/{repo_name}/fine_tunes \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{   "resource": "main/your-dataset.parquet",   "base_model": "<model-canonical-name>",   "script_type": "text_to_video",   "training_params": {     "batch_size": 1,     "caption_column": "<caption_column>",     "gradient_accumulation": 1,     "image_column": "<image_column>",     "learning_rate": 0.0002,     "lora_alpha": 16,     "lora_rank": 16,     "sample_every": 200,     "samples": [       {         "prompt": "an ox holding a sign that says 'Oxen.ai'"       },       {         "prompt": "a herd of oxen running in a field"       }     ],     "steps": 3000,     "timestep_type": "weighted",     "use_lora": true   } }'