Stable Diffusion- Applying ControlNet to Character Design - Part 2

Stable Diffusion- Applying ControlNet to Character Design - Part 2

kasukanra via YouTube Direct link

Intro

1 of 29

1 of 29

Intro

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Stable Diffusion- Applying ControlNet to Character Design - Part 2

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  1. 1 Intro
  2. 2 Download and place ControlNet 1.1 models in proper directory
  3. 3 Segment Anything extension
  4. 4 Install visual studio build tools if you have any errors regarding pycoco tools
  5. 5 Generate baseline reference using traditional merged inpainting model
  6. 6 Using Grounding DINO to create a semi-supervised inpaint mask
  7. 7 Enable ControlNet 1.1 inpaint global harmonious
  8. 8 ControlNet 1.1 inpainting gotcha #1
  9. 9 ControlNet 1.1 gotcha #2
  10. 10 Tuning the inapinting parameters
  11. 11 Analyzing the new tuned outputs
  12. 12 Compositing ControlNet 1.1 inpaint output in photoshop
  13. 13 ControlNet 1.1 inpaint without Grounding DINO
  14. 14 Exploring ControlNet 1.1 instruct pix2pix for targeted variations
  15. 15 Determining the limitations for ip2p
  16. 16 Using segment anything with ip2p
  17. 17 Applying ip2p + Grounding DINO to PNGtuber
  18. 18 Analyzing the tuned PNGtuber results
  19. 19 ControlNet 1.1 Tile model overview
  20. 20 Applying the tile model to the shipbuilder illustration
  21. 21 Showing the thumbnail tile model generation
  22. 22 Introducing the image that will be used with tile model contextual upscaling
  23. 23 Checking Github issue for more information regarding tile model
  24. 24 Contextual upscaling with ControlNet 1.1 tile model
  25. 25 Comparing upscaler methods tile model, vanilla Ultimate SD Upscale, 4x Ultrasharp
  26. 26 Use tile model upscale on the star pupils chibi
  27. 27 Composite upscaled closed mouth expression
  28. 28 Creating the closed eyes expression
  29. 29 Closing thoughts

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