Class Central is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

YouTube

Wan 2.1 Text-to-Video and Image-to-Video Tutorial with CausVid LoRA for SwarmUI

Software Engineering Courses - SE Courses via YouTube

Start learning Write review
CodeSignal Ad

Free AI-powered learning to build in-demand skills

Learn More → Coursera Ad

Coursera Plus Annual Nearly 45% Off

Learn More →

Overview

Coursera Flash Sale
40% Off Coursera Plus for 3 Months!
Grab it
Learn how to generate high-quality AI videos using Wan 2.1 with CausVid LoRA at extreme speeds in this comprehensive tutorial. Master both Text-to-Video (T2V) and Image-to-Video (I2V) generation through SwarmUI with ComfyUI backend. Discover how to utilize Sage Attention to create professional-quality videos in just 8 steps. The tutorial covers complete installation processes, model downloading, optimal configuration settings, and performance comparisons between different GPUs (RTX 5090 vs 3090Ti). Follow along to learn VRAM management techniques, resolution optimization, frame count adjustments, and how to use Rife interpolation for smoother results. Also includes a preview of a diffusion-based upscaler with features like auto-captioning, batch processing, and ratio control. Perfect for AI video enthusiasts looking to maximize generation speed while maintaining exceptional quality.

Syllabus

0:00 Introduction & Amazing Demo
0:23 Tutorial Goals: Video Gen 1.2.1, Speedups CowsWith, Rife
0:35 SwarmUI: Installation & Update Process
0:57 SwarmUI Downloader: 1.2.1 Model & CowsWith Lora
1:48 Optional: Integrating Models with ComfyUI
2:12 SwarmUI Start, Config & Rife Interpolation
2:38 Image-to-Video: Importing Presets
2:51 Image-to-Video: GGUF Model Selection & VRAM
3:09 Image-to-Video: Optimal Resolution & Aspect Ratio
3:21 Image-to-Video: CowsWith Lora & "Fast CowsWith" Preset
3:44 Image-to-Video: Key Parameters Steps, CFG, Init Image
4:04 Image-to-Video: Creativity 0 & Frame Count
4:26 VRAM Management: Avoiding Shared VRAM Slowdowns
4:40 Image-to-Video: Rife x2 Double FPS & Advanced Settings
4:56 Image-to-Video: Trimming Frames & Crafting Prompt
5:24 Dual GPU I2V Gen: RTX 5090 vs 3090Ti
5:55 I2V Speed, VRAM & First Result Analysis RTX 5090: 5.7s/it
6:35 First I2V Result Review & Iteration Needs
6:52 Second I2V Result: AI Fixes Missing Parts!
7:20 Recap: Power of Optimized SwarmUI
7:33 Text-to-Video: Switching & Model Setup
8:04 Text-to-Video: Applying T2V Presets
8:19 Text-to-Video: Key Parameter Differences
8:34 Text-to-Video: Setting Resolution & Rife
9:02 Text-to-Video: Prompting & Ensuring Lora
9:17 Speed vs Quality: T-Cash & Sage Attention
9:30 Text-to-Video: Dual GPU Generation Start & Setup
10:03 Text-to-Video: VRAM Check & Speed Expectations
11:51 Text-to-Video Speed Analysis: 5090 8.4s/it vs 3090Ti 18.2s/it
12:01 Text-to-Video Result 576x1008 Review: "Really Great!"
12:55 Teaser: "My Diffusion Based Upscaler" & Quick Peek
13:10 Upscaler Features: Splitting, Per-Clip Prompting/Upscaling
13:35 Upscaler Features: Auto-Caption CogVLM2, Ratio Control
13:45 Upscaler Features: Batch Processing & Max Frame Control
13:51 Upscaler: Quality Goal 10x+, Optimizations & Ideas
18:01 Upscaler: FFmpeg Presets, Dev Status & Vision
18:13 Final Recap: Hope You Enjoyed & Generated Videos Review
18:20 Generated Video Quality & Time Assessment: "Magnificent!"
18:24 Final Timings: RTX 3090Ti 170s vs RTX 5090 90s
18:32 Your Choice: Resolution, Frames, Speed & VRAM Balance

Taught by

Software Engineering Courses - SE Courses

Reviews

Start your review of Wan 2.1 Text-to-Video and Image-to-Video Tutorial with CausVid LoRA for SwarmUI

Start learning

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Sign up for free
Someone learning on their laptop while sitting on the floor.