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license: cc-by-nc-sa-4.0 |
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library_name: diffusers |
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Thank you for support my work. |
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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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https://www.buymeacoffee.com/bdsqlsz |
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Support list will show in main page. |
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# Support List |
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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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Pre-trained models and output samples of ControlNet-LLLite form bdsqlsz |
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# Inference with ComfyUI: https://github.com/kohya-ss/ControlNet-LLLite-ComfyUI Not Controlnet Nodes! |
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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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Training: https://github.com/kohya-ss/sd-scripts/blob/sdxl/docs/train_lllite_README.md |
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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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# Models |
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## Trained on anime model |
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AnimeFaceSegment、Normal、T2i-Color/Shuffle、lineart_anime_denoise、recolor_luminance |
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Base Model use[Kohaku-XL](https://civitai.com/models/136389?modelVersionId=150441) |
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MLSD |
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Base Model use[ProtoVision XL - High Fidelity 3D](https://civitai.com/models/125703?modelVersionId=144229) |
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# Japanese Introduction |
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https://note.com/kagami_kami/n/nf71099b6abe3 |
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Thank kgmkm_mkgm for introducing these controlllite models and testing. |
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# Samples |
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## AnimeFaceSegmentV2 |
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## MLSDV2 |
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## Normal_Dsine |
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## T2i-Color/Shuffle |
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## Lineart_Anime_Denoise |
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## Recolor_Luminance |
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## Canny |
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## DW_OpenPose |
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## Tile_Anime |
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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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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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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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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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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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Currently, two versions, α and β, have been released, corresponding to the usage of 1、2 and 1、3 respectively. |
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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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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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In summary, α is a more important version for prompts while β is a more important version for controlnet. |
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## Tile_Realistic |
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Thank for all my supporter. |
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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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``` |
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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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You can compared with SD1.5 tile below here↓ |
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For base model using juggernautXL series，so i recommend use their model or merge with it. |
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Here is comparing with other SDXL model. |
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