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

Pointing out my mistake with my seed value wasn't working

25 of 38

25 of 38

Pointing out my mistake with my seed value wasn't working

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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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