Flux fine Tuning API

This documentation outlines the API endpoints for initiating and managing Flux fine-tuning requests in Segmind.

Base URL

https://api.segmind.com

Authentication

All requests require an API key for authentication. Include the API key in the headers as follows:

--header 'x-api-key: YOUR_API_KEY'

1. Initiate Fine-Tune Request

Description

Initiate a new fine-tuning request.

Request

Headers

• x-api-key: Your API key.

• Content-Type: Should be application/json.

Body

The request body must be in JSON format. Here's an example:

curl --location 'https://api.segmind.com/finetune/request/submit' \
--header 'x-api-key: YOUR_API_KEY' \
--header 'Content-Type: application/json' \
--data '{
    "name": "fluxtest1",
    "data_source_path": "https://finetune-pipeline.s3.amazonaws.com/uploads/b15e76a9-0037-4fcf-8522-fdaab460e206/54c7783e-7ac4-437d-a449-89a2613f1dc8-1MAN-Man-Dec-2023.zip",
    "instance_prompt": "1MAN, running in brown suit",
    "trigger_word": "1MAN",
    "base_model": "FLUX",
    "train_type": "LORA",
    "theme": "FLUX",
    "segmind_public": false,
    "advance_parameters": {
        "auto_caption": true,
        "batch_size": 2,
        "bucket_steps": 64,
        "center_crop": false,
        "content_or_style": "balanced",
        "gradient_accumulation_steps": 2,
        "learning_rate": 0.0004,
        "linear": 16,
        "linear_alpha": 16,
        "lora_rank": 128,
        "lr_scheduler": "constant",
        "max_grad_norm": 0,
        "noise_offset": 0,
        "num_train_epochs": 1000,
        "optimizer_type": "Adafactor",
        "prompt": "driving a truck",
        "relative_step": false,
        "repeats": 100,
        "resolution": 1024,
        "steps": 1000,
        "weight_decay": 0.01
    }
}'

2. Get the List of Fine-Tune Requests

Description

Retrieve a list of fine-tuning requests along with their details.

Request

curl --location 'https://api.segmind.com/finetune/request/list' \
--header 'x-api-key: YOUR_API_KEY'

3. Get Fine-Tune Data Upload Pre-Signed URL

Description

Get a pre-signed URL for uploading fine-tuning data.

Request

curl --location --request GET 'https://api.segmind.com/finetune/request/upload/pre-signed-url' \
--header 'x-api-key: YOUR_API_KEY' \
--header 'Content-Type: application/json' \
--data '{
    "name": "NAME_OF_THE_FILE"
}'

4. Update Fine-Tuned Model Access

Description

Update the access settings of a fine-tuned model (public/private).

Request

curl --location --request PUT 'https://api.segmind.com/finetune/request/access-update' \
--header 'x-api-key: YOUR_API_KEY' \
--form 'request_id="FINETUNE_REQUEST_ID"' \
--form 'segmind_public="True"'

5. Download the Fine-Tuned Safetensor File

Description

Download the fine-tuned model file.

Request

curl --location --request GET 'https://api.segmind.com/finetune/request/file/download' \
--header 'x-api-key: YOUR_API_KEY' \
--form 'cloud_storage_url="CLOUD_STORAGE_URL"'

Webhooks

Webhooks provide a way to get real-time updates about finetuning jobs programmatically. You can register a webhook for finetuning jobs in the Developer tab on console.

Once a webhook is created, test it, by having it send a sample payload to verify delivery. Once its up, create a finetuning job to receive status updates. Events are sent to webhooks on 3 status changes:

1. TRAINING_COMPLETED : The training is completed on model, and finetuned model is available for download on the trained_model_url.

2. INFERENCE_QUEUED: Model is being deployed on Segmind inference engine.

3. AVAILABLE: Model is deployed, and ready for inferences on inference_api_url

Note: You can create only 1 webhook at a time for finetune jobs. If you want to change the webhook, please delete the old webhook before creating a new one.