Stable Diffusion and AI Image Generation
Master Stable Diffusion, ComfyUI, and ControlNet for professional AI art and image workflows 22+ hours of hands-on training.

22+
Hours
5
Modules
20
Topics
Beginner-Friendly
Level
New
Batches weekly
About Stable Diffusion and AI Image Generation
Master Stable Diffusion, ComfyUI, and ControlNet for professional AI art and image workflows
In this course, you will: Run Stable Diffusion locally with AUTOMATIC1111 WebUI and ComfyUI; Write effective prompts and negative prompts for consistent results; Use ControlNet for pose, depth, and edge-guided image generation.
What This Training Covers
The Stable Diffusion and AI Image Generation programme at Tutorsbot spans 22+ hours across 5 structured modules. Every module is built around hands-on projects and real-world scenarios — not slide-heavy theory. Your instructor walks you through each concept with live demonstrations, code reviews, and practical exercises so you can apply what you learn from day one. The curriculum is aligned with current Technology Training industry expectations and hiring patterns.
Enrollment & Training Quality
Stable Diffusion and AI Image Generation is available in 2 flexible learning modes — choose online live classes, classroom, hybrid, self-paced, or one-on-one depending on your schedule. Every batch is limited in size to ensure each learner receives personal attention, code-level feedback, and doubt resolution. Career support and certification are included with every enrolment. Tutorsbot instructors are working professionals who teach from delivery experience, and the training standard stays consistent across all modes and batches.
Course Curriculum
5 modules · 20 topics · 22 hrs
01Stable Diffusion Fundamentals
10 topics
Stable Diffusion Fundamentals
10 topics
- How diffusion models work: forward and reverse diffusion
- Latent diffusion and the role of the VAE
- CLIP text encoder and text-to-image conditioning
- SDXL, SD 1.5, and SD 2.x model family comparison
- Setting up AUTOMATIC1111 WebUI on local GPU
- Setting up ComfyUI for node-based workflows
- Model checkpoint files: safetensors and ckpt format
- Sampling methods: DPM++ 2M Karras, Euler a, DDIM
- CFG scale, steps, and seed for reproducibility
- Hugging Face Hub as the model discovery platform
02Prompt Engineering for Image Generation
10 topics
Prompt Engineering for Image Generation
10 topics
- Anatomy of an effective positive prompt
- Negative prompts to remove unwanted elements
- Prompt weighting: using (word:1.3) syntax
- Style prompts: photorealistic, cinematic, anime, oil painting
- Attention and emphasis tokens in CLIP tokenisation
- Prompt Magic: leveraging quality booster tokens
- Image-to-image: using a reference image as starting point
- Inpainting and outpainting for selective editing
- Upscaling with ESRGAN, 4x-UltraSharp, and hires fix
- Batch generation and X/Y/Z plot for parameter comparison
ControlNet and Advanced Control
0 topics
2 more modules available
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Enrol in This Course
Same curriculum & certification across all formats. Updated Apr 2026.
Online Live
Save ₹2,500Live instructor-led sessions from anywhere, with recordings for catch-up.
EMI from ₹2,083/mo
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What You Get After Completion
Every graduate receives a verified certificate, a portfolio of real projects, and dedicated career support.
Verified Certificate
Digitally signed with a permanent shareable link — not just for attendance.
LinkedIn-importable·Permanent URL·PDF download
Project Portfolio
Real, deployable projects reviewed by your instructor — ready for interviews.
Instructor-reviewed·GitHub-hosted·Interview-ready
Career Support
Résumé review, mock interviews, LinkedIn guidance, and employer introductions.
1-on-1 coaching·Mock interviews·Employer connect
Meet Your Instructor
Every Stable Diffusion and AI Image Generation batch is led by a practitioner who teaches from production experience, not textbooks.
Industry Expert
Senior Technology Professional
Senior professionals with substantial hands-on delivery experience at top companies, bringing real-world projects, industry insights, and best practices.
How We Teach
- Concepts start with a real problem so theory lands in context
- Projects reviewed the way a senior colleague reviews pull requests
- Every topic includes the kind of questions you'll face in interviews
Hire Stable Diffusion and AI Image Generation Talent from Tutorsbot
Companies hiring Stable Diffusion and AI Image Generation talent from Tutorsbot receive pre-assessed profiles backed by project work, instructor review, and interview-ready candidates who can explain what they built and why.
Why hire from us
Project repositories with documented technical decisions
Assessment outcomes backed by instructor context
Candidate readiness shaped by interview-style practice
Project-based portfolios available
Frequently Asked Questions
Everything you need to know about Stable Diffusion and AI Image Generation, answered by our training experts
1Who should take Stable Diffusion and AI Image Generation?
2Does Stable Diffusion and AI Image Generation include a certificate?
3Is placement support included with Stable Diffusion and AI Image Generation?
4How long does Stable Diffusion and AI Image Generation take to complete?
5What is the mode of delivery for Stable Diffusion and AI Image Generation?
6Can I get a free demo class for Stable Diffusion and AI Image Generation?
7What kind of projects will I work on in Stable Diffusion and AI Image Generation?
8What if I miss a class?
9Is Stable Diffusion and AI Image Generation worth it for experienced professionals?
10What is the refund policy for Stable Diffusion and AI Image Generation?
11Do you offer corporate or group training?
12How are the instructors selected at Tutorsbot?
13Will I get lifetime access to Stable Diffusion and AI Image Generation materials?
14Can I switch between batch timings?
15What support do I get after completing the course?
Still have questions?
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