Fine-tune SDXL Model
Welcome to our guide for fine-tuning SDXL! Here you'll find comprehensive walkthroughs that'll assist you with launching, tracking, and understanding the billing process related to finetuning SDXL on MonsterAPI Platform.
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Below, you'll find a list of topics with essential information about each step of the process.
This guide will walk you through step-by-step on how to initiate a fine-tuning job for SDXL.
From opening the fine-tuning portal and creating a new job, to choosing a model and dataset selection, and finally submitting your job. The guide covers all steps in detail, ensuring you have all the tools and information necessary to successfully launch a fine-tuning job.
Users can provide their Dataset in one of the following ways -
Option 1 - S3 Presigned Link:
Users can provide a secure pre-signed URL to grant access to their dataset stored in an S3 bucket.
Option 2 - Upload a Custom Dataset:
Users have the flexibility to upload a custom dataset of their choice, packaged as a zip file.
Option 3 - Manual Bucket Access:
For users preferring a hands-on approach, manual access to the dataset is facilitated. This requires providing the AWS Access and Secret Keys, along with specific details such as the S3 Bucket Name and Object Key. This method offers full control over dataset access and management.
Once your fine-tuning job is launched, it's essential to monitor its progress. This page helps you understand the different stages a job goes through, from launching to completion and download your fine-tuned model once the job is completed.
Understanding the cost associated with fine-tuning jobs is crucial. This page provides detailed information on our billing process, including how jobs are billed, the cost per minute, and what happens if your account runs out of credits. Furthermore, it provides guidance on how to maintain an active payment method and subscription plan to avoid job termination.
Visit each page to get detailed information on each process. If you have any questions or need further assistance, feel free to reach out to our support team.
For any queries, don't hesitate to reach out at MonsterAPI Support.
Updated 4 months ago