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At a Glance

Key details about this service to help you decide. Generated by Zinn Hub, not the seller.

Model Type

Custom LoRA (SD 1.5 / SDXL / Flux)
Supports multiple Stable Diffusion architectures, giving buyers flexibility to target the base model that suits their existing workflow or platform.

Workflow Included

ComfyUI Ready
Every order ships with a full ComfyUI workflow, so buyers can immediately load and run their custom LoRA without building pipelines from scratch.

Turnaround

2–4 Days
Base delivery is 2 days, with Boost and Premium upgrade tiers extending to 3–4 days, likely reflecting additional training depth or dataset handling.

Dataset Support

Preparation & QA Included
The provider assists with dataset selection, preparation, and quality assurance — useful for buyers who don't have curated training images ready to hand over.

Full Description

Fine-Tune Your Custom LoRA Model for Stable Diffusion!

Looking to create stunning, customised AI-generated images? Zinn Digital ™ is here to fine-tune LoRA models for Stable Diffusion, ensuring your models capture exactly the style, subject, or character you envision.

What You Get:

  • Personalised LoRA model fine-tuned to your unique requirements
  • Expertly optimised prompts for efficient and high-quality image generation
  • Assistance with dataset selection, preparation, and quality assurance
  • Clear instructions for integrating your custom model with Stable Diffusion
  • Ongoing support and guidance to help you achieve your creative goals

All orders come with a full ComfyUI workflow.

Perfect For:

  • Artists wanting personalised AI-generated artwork
  • Businesses looking to create distinctive marketing visuals
  • Content creators, game developers, and creative professionals

Based in London, England, we're committed to bringing your ideas to life with precision, quality, and creativity.

Order now and start generating images that truly stand out!


This Zinn Will Include (SD LoRA)

I will train a SD 1.5 LoRA according to your needs. A ComfyUI workflow is always included.

Delivery: 2 days

Revisions: None

Includes:

• Prompt creation
• Prompt delivery
• Artwork delivery
• Image upscaling


Upgrade Options

Choose an upgrade addon to get more features:

FeatureBasicBoost UpgradePremium Upgrade
Delivery2 days3 days4 days
RevisionsNoneNoneNone
Prompt creation
Prompt delivery
Artwork delivery
Image upscaling

Zinner Quality Guarantee

Vetted Professional
Every Zinner is reviewed and approved before joining the platform.
Quality Work Guaranteed
All services are backed by our quality assurance commitment.
Secure Payment
Your payment is protected until you approve the delivered work.

Extra Information

Chat With Us

Chat On Telegram:https://t.me/ZinnDigital

Frequently Asked Questions

In most cases, Stable Diffusion XL is the best choice as it can generate high-quality images in realistic, digital and cartoon settings. Flux has state-of-the-art performance in generating realistic images with human characters.

A minimum of 5 high-quality images are required to fine-tune a LoRA. An ideal training set is made of 30 consistent images. If you have only a few images at your disposal, I can synthetically augment the dataset. The more images, the better the LoRA quality.

It doesn't matter, as long as enough samples are provided for each aspect ratio! Training works in aspect ratio buckets, grouping together images into buckets of similar aspect ratios. To get a LoRA that works equally well in both directions, include a mixture of portrait and landscape images.

Stable Diffusion 1.5 is optimized for 512×512 images. In contrast, Stable Diffusion XL supports a wider range of aspect ratios and higher resolutions, typically between 1024×1024 and 1216×832. Flux-1-dev supports generating images in full HD and up to 2K resolution.

In most cases, Stable Diffusion XL is the best choice as it can generate high-quality images in realistic, digital and cartoon settings. Flux has state-of-the-art performance in generating realistic images with human characters.

A minimum of 5 high-quality images are required to fine-tune a LoRA. An ideal training set is made of 30 consistent images. If you have only a few images at your disposal, I can synthetically augment the dataset. The more images, the better the LoRA quality.

It doesn't matter, as long as enough samples are provided for each aspect ratio! Training works in aspect ratio buckets, grouping together images into buckets of similar aspect ratios. To get a LoRA that works equally well in both directions, include a mixture of portrait and landscape images.

Stable Diffusion 1.5 is optimized for 512×512 images. In contrast, Stable Diffusion XL supports a wider range of aspect ratios and higher resolutions, typically between 1024×1024 and 1216×832. Flux-1-dev supports generating images in full HD and up to 2K resolution.

Customer Reviews

See what our customers say about this Zinn

4.9
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Working with Antonio was excellent. Everything went smoothly — he was polite, professional, and delivered very quickly. Great communication and high-quality results. Highly recommended!

It was a great work

Awesome job Antonio! Certainly will be top of mind if/when I need more LoRA's done

Antonio did a wonderful job, very communicative, delivered on time, went beyond my expectations.

wonderful experience

It was a real pleasure working with Antonio! He is a true professional—he handled our complex task of creating the LoRA for the SyntaxCat character perfectly. We really appreciate his deep technical knowledge and willingness to help us with the setup. We got exactly what we wanted. Highly recommended!

Awesome job Antonio! Certainly will be top of mind if/when I need more LoRA's done

wonderful experience

Antonio did a wonderful job, very communicative, delivered on time, went beyond my expectations.

It was a real pleasure working with Antonio! He is a true professional—he handled our complex task of creating the LoRA for the SyntaxCat character perfectly. We really appreciate his deep technical knowledge and willingness to help us with the setup. We got exactly what we wanted. Highly recommended!

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Train A Lora Model For Stable Diffusion

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