Improving Stable Diffusion Images with FreeU - Optimizing SDXL, LCM, and Turbo Models

Improving Stable Diffusion Images with FreeU - Optimizing SDXL, LCM, and Turbo Models

kasukanra via YouTube Direct link

Selecting baseline freeU s values

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16 of 38

Selecting baseline freeU s values

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Improving Stable Diffusion Images with FreeU - Optimizing SDXL, LCM, and Turbo Models

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  1. 1 Introduction
  2. 2 FreeU paper
  3. 3 How do b and s value interact
  4. 4 ComfyRoll nodes
  5. 5 CivitAI workflows downloads
  6. 6 ComfyRoll workflows
  7. 7 ComfyRoll Grid error
  8. 8 Debugging the grid error
  9. 9 Trying out ComfyRoll XY list
  10. 10 Finding a fix for grid error
  11. 11 ComfyUI API
  12. 12 ComfyUI API JSON
  13. 13 How to request ComfyUI API
  14. 14 Re-evaluating the API JSON file
  15. 15 Code overview
  16. 16 Selecting baseline freeU s values
  17. 17 Handling asynchronous calls as ComfyUI API doesn't have callbacks
  18. 18 Setting up code environment
  19. 19 Executing the code
  20. 20 Analyzing the dynamic b values for normal FreeU
  21. 21 Narrowing the search window
  22. 22 Why choose static s values of 1.1 and 0.2? Why not use 0, 0 or 1, 1?
  23. 23 Dynamic s values
  24. 24 Getting original seed value
  25. 25 Pointing out my mistake with my seed value wasn't working
  26. 26 Comparing with original generations as a sanity check
  27. 27 Comparing results so far
  28. 28 Workflow for kohya deep shrink
  29. 29 LCM workflow
  30. 30 Dynamic b values for LCM
  31. 31 Dynamic s values for LCM
  32. 32 Updated comparison of all results so far
  33. 33 Extracting SDXL turbo LoRA
  34. 34 SDXL Turbo LoRA workflow
  35. 35 Dynamic b values for SDXL Turbo
  36. 36 Comparing different b1, b2 values for SDXL Turbo
  37. 37 Dynamic s values for SDXL Turbo
  38. 38 Final comparison of all results so far

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