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AI Image Generation in Python: Stable Diffusion & LoRA

AI Image Generation in Python: Stable Diffusion & LoRA

Instructor: Board Infinity

Included with Learn more

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3 modules

Gain insight into a topic and learn the fundamentals.

Intermediate level

Recommended experience

5 hours to complete

Flexible schedule

Learn at your own pace

3 modules

Gain insight into a topic and learn the fundamentals.

Intermediate level

Recommended experience

5 hours to complete

Flexible schedule

Learn at your own pace

What you'll learn

Generate images from text using Stable Diffusion via the Hugging Face Diffusers library, controlling key parameters.
Engineer effective prompts and negative prompts, and use image-to-image and inpainting for iterative refinement
Deploy the image generation pipeline as a usable web app and API, optimizing for speed, cost, and safety in production

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There are 3 modules in this course

This compact, project-driven course teaches learners to build an end-to-end AI image generation application, from running a Stable Diffusion model locally to deploying a production-ready image generation API. The project progresses from basic text-to-image generation to a full pipeline with prompt engineering, fine-tuning, image control, and a deployable web app. AI image generation is transforming creative workflows, and building production apps on top of it is a high-demand skill. By course end, learners will have a working Stable Diffusion pipeline, a custom fine-tuned model, and a deployed generation API plus the knowledge to understand how commercial tools (like Midjourney, DALL·E, Leonardo.ai) work under the hood

Disclaimer: This is an independent educational resource created by Board Infinity for informational and educational purposes only. This course is not affiliated with, endorsed by, sponsored by, or officially associated with any company, organization, or certification body unless explicitly stated. The content provided is based on industry knowledge and best practices but does not constitute official training material for any specific employer or certification program. All company names, trademarks, service marks, and logos referenced are the property of their respective owners and are used solely for educational identification and comparison purposes.

Understand how diffusion models turn noise into images and why they outperform earlier GANs, generate and control images with Stable Diffusion, and master prompt engineering plus image-to-image editing workflows

What's included

4 videos2 assignments

Fine-tune Stable Diffusion on custom subjects and styles, optimize the pipeline for speed and cost, and deploy the image generator as a usable web app and API.

What's included

4 videos1 assignment

Wrapping the pipeline in a Gradio UI (prompt box, parameter sliders, gallery output), exposing negative prompts, seed, and ControlNet controls to users, session handling and queueing for multiple requests, quick prototype-to-shareable-demo workflow.

What's included

4 videos1 assignment

Instructor

Board Infinity

275 Courses447,073 learners

Offered by

Board Infinity

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Frequently asked questions

No. Deep learning fundamentals are helpful but not mandatory. Only basic Python is required, and diffusion concepts are explained as you go.

Yes. By the end you'll have a working Stable Diffusion pipeline, a custom fine-tuned model, and a deployed generation API.

Yes. It covers NSFW filtering, prohibited-content detection, prompt injection prevention, copyright/likeness concerns, and human-in-the-loop review.

To access course materials, assignments, and earn a Certificate, you'll need to purchase the Certificate experience when you enroll in a course. Eligible learners may also have the option to start with a Free Trial. Some courses may also offer a Full Course, No Certificate option. This lets you access course materials, submit required assessments, and receive a final grade, but you won't be able to earn or purchase a Certificate.