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  1. .gitattributes +55 -0
  2. Annotators/7_model.pth +3 -0
  3. Annotators/UNet.pth +3 -0
  4. Annotators/dsine.pt +3 -0
  5. Annotators/model +0 -0
  6. Annotators/rtmpose-m_simcc-ap10k_pt-aic-coco_210e-256x256-7a041aa1_20230206.onnx +3 -0
  7. README.md +232 -0
  8. bdsqlsz_controlllite_xl_canny.safetensors +3 -0
  9. bdsqlsz_controlllite_xl_depth.safetensors +3 -0
  10. bdsqlsz_controlllite_xl_depth_V2.safetensors +3 -0
  11. bdsqlsz_controlllite_xl_dw_openpose.safetensors +3 -0
  12. bdsqlsz_controlllite_xl_lineart_anime_denoise.safetensors +3 -0
  13. bdsqlsz_controlllite_xl_mlsd_V2.safetensors +3 -0
  14. bdsqlsz_controlllite_xl_normal.safetensors +3 -0
  15. bdsqlsz_controlllite_xl_normal_dsine.safetensors +3 -0
  16. bdsqlsz_controlllite_xl_recolor_luminance.safetensors +3 -0
  17. bdsqlsz_controlllite_xl_segment_animeface.safetensors +3 -0
  18. bdsqlsz_controlllite_xl_segment_animeface_V2.safetensors +3 -0
  19. bdsqlsz_controlllite_xl_sketch.safetensors +3 -0
  20. bdsqlsz_controlllite_xl_softedge.safetensors +3 -0
  21. bdsqlsz_controlllite_xl_t2i-adapter_color_shuffle.safetensors +3 -0
  22. bdsqlsz_controlllite_xl_tile_anime_alpha.safetensors +3 -0
  23. bdsqlsz_controlllite_xl_tile_anime_beta.safetensors +3 -0
  24. bdsqlsz_controlllite_xl_tile_realistic.safetensors +3 -0
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  45. sample/Snipaste_2023-08-15_02-38-05.png +3 -0
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  47. sample/canny-0034.png +0 -0
  48. sample/color-0008.png +0 -0
  49. sample/color-0009.png +0 -0
  50. sample/dw_openpose_full-0015.png +0 -0
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+ ---
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+ license: cc-by-nc-sa-4.0
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+ library_name: diffusers
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+ ---
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+
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+ Thank you for support my work.
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+
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+ <a href="https://www.buymeacoffee.com/bdsqlsz"><img src="https://img.buymeacoffee.com/button-api/?text=Buy me a new graphics card&emoji=😋&slug=bdsqlsz&button_colour=40DCA5&font_colour=ffffff&font_family=Cookie&outline_colour=000000&coffee_colour=FFDD00" /></a>
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+
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+ https://www.buymeacoffee.com/bdsqlsz
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+
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+ Support list will show in main page.
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+
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+ # Support List
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+
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+ ```
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+ DiamondShark
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+ Yashamon
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+ t4ggno
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+ Someone
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+ kgmkm_mkgm
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+ yacong
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+ ```
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+
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+ Pre-trained models and output samples of ControlNet-LLLite form bdsqlsz
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+
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+ # Inference with ComfyUI: https://github.com/kohya-ss/ControlNet-LLLite-ComfyUI Not Controlnet Nodes!
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+
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+ For 1111's Web UI, [sd-webui-controlnet](https://github.com/Mikubill/sd-webui-controlnet) extension supports ControlNet-LLLite.
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+
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+ Training: https://github.com/kohya-ss/sd-scripts/blob/sdxl/docs/train_lllite_README.md
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+
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+ The recommended preprocessing for the animeface model is [Anime-Face-Segmentation](https://github.com/siyeong0/Anime-Face-Segmentation)
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+
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+ # Models
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+
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+ ## Trained on anime model
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+
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+ AnimeFaceSegment、Normal、T2i-Color/Shuffle、lineart_anime_denoise、recolor_luminance
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+
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+ Base Model use[Kohaku-XL](https://civitai.com/models/136389?modelVersionId=150441)
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+
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+ MLSD
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+
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+ Base Model use[ProtoVision XL - High Fidelity 3D](https://civitai.com/models/125703?modelVersionId=144229)
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+
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+ # Japanese Introduction
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+
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+ https://note.com/kagami_kami/n/nf71099b6abe3
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+
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+ Thank kgmkm_mkgm for introducing these controlllite models and testing.
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+
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+ # Samples
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+
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+ ## AnimeFaceSegmentV2
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+
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+ ![source 1](./sample/00015-882327104.png)
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+
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+ ![sample 1](./sample/grid-0000-656896882.png)
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+
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+ ![source 2](./sample/00081-882327170.png)
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+
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+ ![sample 2](./sample/grid-0000-2857388239.png)
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+
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+ ## DepthV2_(Marigold)
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+
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+ ![source](./sample/00011-2938929216.png)
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+
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+ ![preprocess 1](./sample/下载.png)
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+
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+ ![sample 1](./sample/xyz_grid-0011-2712986504.jpg)
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+
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+ ![sample 2](./sample/xyz_grid-0021-1285985674.jpg)
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+
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+ ## MLSDV2
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+
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+ ![source 1](./sample/0-73.png)
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+
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+ ![preprocess 1](./sample/mlsd-0000.png)
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+
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+ ![sample 1](./sample/grid-0001-496872924.png)
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+
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+ ![source 2](./sample/0-151.png)
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+
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+ ![preprocess 2](./sample/mlsd-0001.png)
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+
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+ ![sample 2](./sample/grid-0002-906633402.png)
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+
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+ ## Normal_Dsine
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+
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+ ![source](./sample/f49e5ae5b9c86ffab78f48e71d72f2f151248e33f10c54c498c7ca4be0dc5025.jpg)
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+
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+ ![preprocess 1](./sample/normal_dsine-0022.png)
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+
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+ ![sample 1](./sample/grid-0018-3079334279.png)
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+
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+ ![sample 2](./sample/grid-0002-1006844163.png)
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+
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+ ## T2i-Color/Shuffle
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+
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+ ![source 1](./sample/sample_0_525_c9a3a20fa609fe4bbf04.png)
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+
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+ ![preprocess 1](./sample/color-0008.png)
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+
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+ ![sample 1](./sample/grid-0017-751452001.jpg)
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+
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+ ![source 2](./sample/F8LQ75WXoAETQg3.jpg)
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+
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+ ![preprocess 2](./sample/color-0009.png)
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+
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+ ![sample 2](./sample/grid-0018-2976518185.jpg)
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+
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+ ## Lineart_Anime_Denoise
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+
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+ ![source 1](./sample/20230826131545.png)
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+
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+ ![preprocess 1](./sample/lineart_anime_denoise-1308.png)
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+
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+ ![sample 1](./sample/grid-0028-1461058306.png)
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+
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+ ![source 2](./sample/Snipaste_2023-08-10_23-33-53.png)
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+
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+ ![preprocess 2](./sample/lineart_anime_denoise-1309.png)
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+
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+ ![sample 2](./sample/grid-0030-1612754720.png)
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+
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+ ## Recolor_Luminance
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+
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+ ![source 1](./sample/F8LQ75WXoAETQg3.jpg)
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+
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+ ![preprocess 1](./sample/recolor_luminance-0014.png)
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+
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+ ![sample 1](./sample/grid-0060-2359545755.png)
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+
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+ ![source 2](./sample/Snipaste_2023-08-15_02-38-05.png)
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+
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+ ![preprocess 2](./sample/recolor_luminance-0016.png)
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+
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+ ![sample 2](./sample/grid-0061-448628292.png)
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+
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+ ## Canny
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+
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+ ![source 1](./sample/Snipaste_2023-08-10_23-33-53.png)
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+
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+ ![preprocess 1](./sample/canny-0034.png)
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+
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+ ![sample 1](./sample/grid-0100-2599077425.png)
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+
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+ ![source 2](./sample/00021-210474367.jpeg)
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+
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+ ![preprocess 2](./sample/canny-0021.png)
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+
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+ ![sample 2](./sample/grid-0084-938772089.png)
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+
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+ ## DW_OpenPose
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+
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+ ![preprocess 1](./sample/dw_openpose_full-0015.png)
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+
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+ ![sample 1](./sample/grid-0015-4163265662.png)
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+
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+ ![preprocess 2](./sample/dw_openpose_full-0030.png)
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+
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+ ![sample 2](./sample/grid-0030-2839828192.png)
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+
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+ ## Tile_Anime
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+
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+ ![source 1](./sample/03476-424776255.png)
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+
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+ ![sample 1](./sample/grid-0008-3461355229.png)
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+
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+ ![sample 2](./sample/grid-0016-1162724588.png)
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+
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+ ![sample 3](./sample/00094-188618111.png)
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+
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+ 和其他模型不同,我需要简单解释一下tile模型的用法。
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+ 总的来说,tile模型有三个用法,
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+ 1、不输入任何提示词,它可以直接还原参考图的大致效果,然后略微重新修改局部细节,可以用于V2V。(图2)
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+ 2、权重设定为0.55~0.75,它可以保持原本构图和姿势的基础上,接受提示词和LoRA的修改。(图3)
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+ 3、使用配合放大效果,对每个tiling进行细节增加的同时保持一致性。(图4)
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+
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+ 因为训练时使用的数据集为动漫2D/2.5D模型,所以目前对真实摄影风格的重绘效果并不好,需要等待完成最终版本。
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+
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+ Unlike other models, I need to briefly explain the usage of the tile model.
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+ In general, there are three uses for the tile model,
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+ 1. Without entering any prompt words, it can directly restore the approximate effect of the reference image and then slightly modify local details. It can be used for V2V (Figure 2).
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+ 2. With a weight setting of 0.55~0.75, it can maintain the original composition and pose while accepting modifications from prompt words and LoRA (Figure 3).
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+ 3. Use in conjunction with magnification effects to increase detail for each tiling while maintaining consistency (Figure 4).
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+
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+ Since the dataset used during training is an anime 2D/2.5D model, currently, its repainting effect on real photography styles is not good; we will have to wait until completing its final version.
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+
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+ ![xyz](./sample/xyz_grid-0001-3957894094.png)
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+
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+ 目前释放出了α和β两个版本,分别对应1、2以及1、3的用法。
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+ 其中α用于姿势、构图迁移,它的泛化性很强,可以和其他LoRA结合使用。
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+ 而β用于保持一致性和高清放大,它对条件图片更敏感。
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+ 好吧,α是prompt更重要的版本,而β是controlnet更重要的版本。
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+
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+ Currently, two versions, α and β, have been released, corresponding to the usage of 1、2 and 1、3 respectively.
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+
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+ The α version is used for pose and composition transfer, with strong generalization capabilities that can be combined with other LoRA systems.
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+
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+ On the other hand, the β version is used for maintaining consistency and high-definition magnification; it is more sensitive to conditional images.
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+
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+ In summary, α is a more important version for prompts while β is a more important version for controlnet.
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+
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+ ## Tile_Realistic
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+
208
+ Thank for all my supporter.
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+
210
+ ```
211
+ DiamondShark
212
+ Yashamon
213
+ t4ggno
214
+ Someone
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+ kgmkm_mkgm
216
+ ```
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+
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+ Even though I broke my foot last week, I still insisted on training the realistic version out.
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+
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+ ![source 1](./sample/OIP.jpg)
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+
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+ ![sample 1](./sample/grid-0000.png)
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+
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+ You can compared with SD1.5 tile below here↓
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+
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+ ![sample 2](./sample/grid-0002.png)
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+
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+ For base model using juggernautXL series,so i recommend use their model or merge with it.
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+
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+ Here is comparing with other SDXL model.
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+
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+ ![sample 2](./sample/xyz_grid-0000-948596933.png)
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