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Stable Diffusion

Stable Diffusion is the open-source image generation model by Stability AI. It can run locally or through various platforms. It supports fine-tuning, ControlNet, img2img, and thousands of community custom models.

Image generation

Open source

Local

Customizable

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Step-by-Step Guides

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Real-World Use Cases

Consistent Product Images for E-Commerce Platforms

E-Commerce Product Manager

Initial setup of 3 hours

An online home decor shop has over 300 product codes that need a consistent background style for posting on multiple platforms.

Problem

Taking studio photos for each product model with consistent lighting and background is time-consuming and requires ongoing studio rental costs.

Solution

Use Stable Diffusion with ControlNet to create a consistent background for raw product images, maintaining the original shape of the products.

Save about 60% of the monthly studio rental costs
Processing time for a new product batch reduced from 3 days to 1 day
The image set across platforms has a consistent style, enhancing brand professionalism
Able to process a large volume of images without needing to hire additional design staff

Create Copyright-Free Internal Graphic Assets

Graphic Designer

1 day for initial setup

A small design agency needs a source of backgrounds and patterns for various client projects without relying on paid stock photos.

Problem

The cost of purchasing copyrighted stock photos accumulates to hundreds of USD per month per project, eating into the profit margins of small design packages.

Solution

Use self-hosted Stable Diffusion to create patterns, backgrounds, and textures specifically for each project with unlimited customization.

Save over 500 USD/month on stock photo purchases
Create exclusive graphic assets that are not duplicated by other agencies
Reduce the completion time for an image asset set for a project by 40%
Have full control and the ability to reuse models in the agency's unique style

Pros

Open-source, free, and can run on personal computers without monthly fees
Deep customization through models, LoRA, ControlNet for consistent styles or characters
Large community with thousands of models and checkpoints tailored for specific styles
Can run offline, providing full control over data, suitable for businesses needing security
No limit on the number of images generated when self-hosted on personal hardware
Supports detailed inpainting and outpainting for sophisticated image editing

Cons

Requires strong computer specifications (dedicated GPU) or cost for server rentals for smooth operation
Steep learning curve, requires understanding of models, samplers, and how to write weighted prompts
Default image quality often inferior to Midjourney unless finely tuned
Complex initial setup, not user-friendly for those without technical expertise
Ambiguities regarding legal risks related to training data copyright for certain community models
No official customer support due to the nature of being an open-source project