Wan 2.1 App Updates - Squish Effect LoRA for Local Video Generation

Wan 2.1 App Updates - Squish Effect LoRA for Local Video Generation

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7:55 Generation Time, Future Speed Improvements Teacache, and Implementation Details

19 of 31

19 of 31

7:55 Generation Time, Future Speed Improvements Teacache, and Implementation Details

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Wan 2.1 App Updates - Squish Effect LoRA for Local Video Generation

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  1. 1 0:00 Introduction & Wan 2.1 Updates: Overview of new features and the Squishing LoRA effect.
  2. 2 0:10 Squishing Video Effect LoRA & New Features: Exploring the new LoRA and updates like FP8, BF16.
  3. 3 0:29 Application Updates and Demonstrations: Showing "Save Prompt to File" and config saving.
  4. 4 0:45 RIFE for FPS Boost, FP8/BF16 Options, and LoRA Support
  5. 5 1:02 Improved "Save Prompt to File" & Configuration System: How saving prompts and configs works.
  6. 6 1:19 Configuration Saving Demonstration Example: "My Squish LoRA": A practical example of config use.
  7. 7 1:37 Using the Application & Installation Tutorial Link
  8. 8 2:05 Navigating the Update Log and Finding Installation Instructions: Step-by-step setup guide.
  9. 9 2:33 Downloading, Installing, and Running the Installation Script
  10. 10 3:11 Downloading Models and Model Selection Options: Choosing the right model for your needs 480p, 720p.
  11. 11 3:44 Downloading Specific Models and File Size Optimizations: How to manage download size.
  12. 12 4:11 Starting the Application & Troubleshooting Triton Errors: Fixing common startup issues.
  13. 13 4:35 Interface Overview, Model Selection, and GPU Preset Settings: Configuring the application.
  14. 14 5:00 "Apply Practical RIFE" for FPS Boost and Smoothness Demonstration: Before/after RIFE comparison.
  15. 15 5:29 RIFE Model Details, Prompt Setup, and LoRA Activation Word: Using the Squish LoRA effectively.
  16. 16 6:00 Selecting the LoRA in the Interface and Uploading Your Image: Preparing for image-to-video.
  17. 17 6:39 Parameter Verification, Kudos to the Creator, and Frame Count Explanation: Setting up the generation.
  18. 18 7:11 Reducing Inference Steps for Faster Generation and Monitoring GPU Usage: Optimizing speed.
  19. 19 7:55 Generation Time, Future Speed Improvements Teacache, and Implementation Details
  20. 20 8:24 Current Optimizations Triton, CUDA, Torch, Flash Attention and Comparison to ComfyUI
  21. 21 8:54 VRAM Usage, Quality Focus, and Finding Other Compatible LoRAs on CivitAI
  22. 22 9:34 CivitAI LoRA Search, Generation Progress, and Speed on RTX 5090: Real-world performance.
  23. 23 9:51 Main Tutorial Video Recommendation and Prompt Enhance Improvements
  24. 24 10:27 Continuous Application Improvements, Future Plans Hunyuan Video, and Tiled VAE
  25. 25 10:58 Generation Completion and Example Video Review: Assessing the final output quality
  26. 26 11:11 Introducing to MMAudio: Brief introduction to MMAudio application
  27. 27 11:32 MMAudio demo and explanation: showing example and basic prompt
  28. 28 12:03 Speed of MMAudio and coming tutorial: demonstration of generation speed
  29. 29 12:14 MMAudio multiple seed generation: Generating multiple seeds for better output
  30. 30 12:41 MMAudio features and showing examples
  31. 31 13:12 Conclusion, Resource Links, and Call to Action

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