Alibaba Cloud Model Studio:動画生成モデルのファインチューニング API リファレンス

wan2.7-i2v

curl --location 'https://dashscope-intl.aliyuncs.com/api/v1/fine-tunes' \
--header "Authorization: Bearer $DASHSCOPE_API_KEY" \
--header 'Content-Type: application/json' \
--data '{
    "model": "wan2.7-i2v",
    "training_file_ids": [
        "<training-dataset-file-id>"
    ],
    "training_type": "efficient_sft",
    "hyper_parameters": {
        "n_epochs": 400,
        "batch_size": 1,
        "learning_rate": 2e-5,
        "split": 0.9,
        "eval_epochs": 50,
        "max_pixels": 147456,
        "max_split_val_dataset_sample": 5,
        "save_total_limit": 10,
        "lora_rank": 32,
        "lora_alpha": 32
    }
}'

wan2.6-i2v

curl --location 'https://dashscope-intl.aliyuncs.com/api/v1/fine-tunes' \
--header "Authorization: Bearer $DASHSCOPE_API_KEY" \
--header 'Content-Type: application/json' \
--data '{
    "model": "wan2.6-i2v",
    "training_file_ids": [
        "<training-dataset-file-id>"
    ],
    "training_type": "efficient_sft",
    "hyper_parameters": {
        "n_epochs": 400,
        "batch_size": 1,
        "learning_rate": 2e-5,
        "split": 0.9,
        "eval_epochs": 50,
        "max_pixels": 36864,
        "max_split_val_dataset_sample": 5,
        "save_total_limit": 10,
        "lora_rank": 32,
        "lora_alpha": 32
    }
}'

wan2.5-i2v-preview

curl --location 'https://dashscope-intl.aliyuncs.com/api/v1/fine-tunes' \
--header "Authorization: Bearer $DASHSCOPE_API_KEY" \
--header 'Content-Type: application/json' \
--data '{
    "model": "wan2.5-i2v-preview",
    "training_file_ids": [
        "<training-dataset-file-id>"
    ],
    "training_type": "efficient_sft",
    "hyper_parameters": {
        "n_epochs": 400,
        "batch_size": 2,
        "learning_rate": 2e-5,
        "split": 0.9,
        "eval_epochs": 50,
        "max_pixels": 36864,
        "max_split_val_dataset_sample": 5,
        "save_total_limit": 10,
        "lora_rank": 32,
        "lora_alpha": 32
    }
}'

wan2.2-i2v-flash

curl --location 'https://dashscope-intl.aliyuncs.com/api/v1/fine-tunes' \
--header "Authorization: Bearer $DASHSCOPE_API_KEY" \
--header 'Content-Type: application/json' \
--data '{
    "model": "wan2.2-i2v-flash",
    "training_file_ids": [
        "<training-dataset-file-id>"
    ],
    "training_type": "efficient_sft",
    "hyper_parameters": {
        "n_epochs": 400,
        "batch_size": 4,
        "learning_rate": 2e-5,
        "split": 0.9,
        "eval_epochs": 50,
        "max_pixels": 262144,
        "max_split_val_dataset_sample": 5,
        "save_total_limit": 10,
        "lora_rank": 32,
        "lora_alpha": 32
    }
}'

wan2.2-kf2v-flash (最初と最後のフレーム)

curl --location 'https://dashscope-intl.aliyuncs.com/api/v1/fine-tunes' \
--header "Authorization: Bearer $DASHSCOPE_API_KEY" \
--header 'Content-Type: application/json' \
--data '{
    "model": "wan2.2-kf2v-flash",
    "training_file_ids": [
        "<training-dataset-file-id>"
    ],
    "training_type": "efficient_sft",
    "hyper_parameters": {
        "n_epochs": 400,
        "batch_size": 4,
        "learning_rate": 2e-5,
        "split": 0.9,
        "eval_epochs": 50,
        "max_pixels": 262144,
        "max_split_val_dataset_sample": 5,
        "save_total_limit": 10,
        "lora_rank": 32,
        "lora_alpha": 32
    }
}'

複数のトレーニングセットと検証セット

curl --location 'https://dashscope-intl.aliyuncs.com/api/v1/fine-tunes' \
--header "Authorization: Bearer $DASHSCOPE_API_KEY" \
--header 'Content-Type: application/json' \
--data '{
    "model": "wan2.5-i2v-preview",
    "training_file_ids": [
        "<training-set-file-id-1>",
        "<training-set-file-id-2>"
    ],
    "validation_file_ids": [
         "<validation-set-file-id-1>",
         "<validation-set-file-id-2>"
    ],
    "training_type": "efficient_sft",
    "hyper_parameters": {
        "n_epochs": 400,
        "batch_size": 2,
        "learning_rate": 2e-5,
        "split": 0.9,
        "eval_epochs": 50,
        "max_pixels": 36864,
        "max_split_val_dataset_sample": 5,
        "save_total_limit": 10,
        "lora_rank": 32,
        "lora_alpha": 32
    }
}'

レスポンス

output.job_id (ステータスのクエリ用) と output.finetuned_output (モデルのデプロイ用) をコピーします。

{
    "request_id": "0eb05b0c-02ba-414a-9d0c-xxxxxxxxx",
    "output": {
        "job_id": "ft-202511111122-xxxx",
        "job_name": "ft-202511111122-xxxx",
        "status": "PENDING",
        "finetuned_output": "wan2.5-i2v-preview-ft-202511111122-xxxx",
        "model": "wan2.5-i2v-preview",
        "base_model": "wan2.5-i2v-preview",
        "training_file_ids": [
            "xxxxxxxxxxxx"
        ],
        "validation_file_ids": [],
        "hyper_parameters": {
            "n_epochs": 400,
            "batch_size": 2,
            "learning_rate": 2.0E-5,
            "split": 0.9,
            "eval_epochs": 50
        },
        "training_type": "efficient_sft",
        "create_time": "2025-11-11 11:22:22",
        "workspace_id": "llm-xxxxxxxxx",
        "user_identity": "12xxxxxxx",
        "modifier": "12xxxxxxx",
        "creator": "12xxxxxxx",
        "group": "llm",
        "max_output_cnt": 10
    }
}

次のステップ： ジョブステータスをクエリし、トレーニングが完了するのを待ちます。

画像から動画へ (最初のフレーム)

curl --location 'https://dashscope-intl.aliyuncs.com/api/v1/deployments' \
--header "Authorization: Bearer $DASHSCOPE_API_KEY" \
--header 'Content-Type: application/json' \
--data '{
    "model_name": "<model-name>",
    "aigc_config": {
        "use_input_prompt": false,
        "prompt": "Provide a video description based on the image content. The description must include the phrase \"Then the s86b5p money rain effect begins, countless huge-sized US dollar bills (beige background/dark green patterns) pour down like a torrential rain, densely hitting and surrounding her. The bills continue to fall, she/he stretches her/his arms upward, neck slightly tilted back, expression surprised, completely immersed in this wild money rain.\"\nOutput Template:\nThe video begins with a shot of [subject description]. [Environment description]. Then the s86b5p money rain effect begins, countless huge-sized US dollar bills (beige background/dark green patterns) pour down like a torrential rain, densely hitting and surrounding her. The bills continue to fall, she/he stretches her/his arms upward, neck slightly tilted back, expression surprised, completely immersed in this wild money rain.\nExample:\nThe video begins showing a young woman standing in front of a brick wall covered with ivy. She has long, smooth reddish-brown hair, wearing a white sleeveless dress, a shiny silver necklace, and a smile on her face. The brick wall in the background is covered with green vines, appearing rustic and natural. Then the s86b5p money rain effect begins, countless huge-sized US dollar bills (beige background/dark green patterns) pour down like a torrential rain, densely hitting and surrounding her. The bills continue to fall, she stretches her arms upward, neck slightly tilted back, expression surprised, completely immersed in this wild money rain.",
        "lora_prompt_default": "Then the s86b5p money rain effect begins, countless huge-sized US dollar bills (beige background/dark green patterns) pour down like a torrential rain, densely hitting and surrounding her. The bills continue to fall, she/he stretches her/his arms upward, neck slightly tilted back, expression surprised, completely immersed in this wild money rain."
    },
    "capacity": 1,
    "plan": "lora"
}'

画像から動画へ (最初と最後のフレーム)

curl --location 'https://dashscope-intl.aliyuncs.com/api/v1/deployments' \
--header "Authorization: Bearer $DASHSCOPE_API_KEY" \
--header 'Content-Type: application/json' \
--data '{
    "model_name": "<model-name>",
    "aigc_config": {
        "use_input_prompt": false,
        "prompt": "Provide a video description based on the image content. The description must include the phrase \"Then she/he begins the s86b5p transformation.\"\nOutput Template:\nThe video begins with a shot of [subject description]. [Environment description]. Then she/he begins the s86b5p transformation.\nExample:\nThe video begins with a young woman in an outdoor setting. She has short, curly dark brown hair and a friendly smile. She is wearing a black Polo shirt with colorful floral embroidery. The background features green vegetation and distant mountains. Then she begins the s86b5p transformation.",
        "lora_prompt_default": "Then she/he begins the s86b5p transformation."
    },
    "capacity": 1,
    "plan": "lora"
}'

レスポンス

output.status が PENDING であることは、デプロイが進行中であることを意味します。

{
    "request_id": "96020b2e-9072-4c8a-9981-xxxxxxxxx",
    "output": {
        "deployed_model": "wan2.5-i2v-preview-ft-202511111122-xxxx",
        "gmt_create": "2025-11-11T17:46:53.294",
        "gmt_modified": "2025-11-11T17:46:53.294",
        "status": "PENDING",
        "model_name": "wan2.5-i2v-preview-ft-202511111122-xxxx",
        "base_model": "wan2.5-i2v-preview",
        "workspace_id": "llm-xxxxxxxxx",
        "charge_type": "post_paid",
        "creator": "12xxxxxxx",
        "modifier": "12xxxxxxx",
        "plan": "lora"
    }
}

次のステップ: デプロイメントステータスをクエリし、 status が RUNNING になるのを待ちます。