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README.md
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# Model Card for Model ID
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<!-- Provide a quick summary of what the model is/does. -->
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## Model Details
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### Model Description
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<!-- Provide a longer summary of what this model is. -->
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- This is a SDXL based controlnet Tile model, trained with huggingface diffusers sets, fit for Stable diffusion SDXL controlnet.
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- It is oringal trained for my own realistic model used for Ultimate upscale process to boost the picture details. with a proper workflow, it can provide a good result for high detailed, high resolution image fix.
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## Uses
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- **Important: Tile model is not a upscale model!!! it enhance the detial of the oringal size image, remember this before you use it!**
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- This model will not significant change the base model style. it only adding the fetures to the upscaled pixel blocks....
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- --Just use a regular controlnet model in Webui by select as tile model and use tile_resample for Ultimate Upscale script.
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- --Just use load controlnet model in comfyui and apply to control net condition.
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- it do perform much better with the image from the datasets. However, everything works fine for the i2i model and what is the place usually the ultimate upscale is applied!!
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- **--Please also notice this is a realistic training set, so no comic, animation application are promised.**
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- --For tile upscale, set the denoise around 0.3-0.4 to get good result.
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- --For controlnet strengh, set to 0.9 will be better choice
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- --For human image fix, IPA and early stop on controlnet will provide better reslut
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## Uses
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- **Important: Tile model is not a upscale model!!! it enhance or change the detial of the oringal size image, remember this before you use it!**
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- This model will not significant change the base model style. it only adding the fetures to the upscaled pixel blocks....
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- --Just use a regular controlnet model in Webui by select as tile model and use tile_resample for Ultimate Upscale script.
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- --Just use load controlnet model in comfyui and apply to control net condition.
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- --if you try to use it in webui t2i, need proper prompt setup, otherwise it will significant modify the original image color. I don't know the reason, as I don't really use this function.
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- --it do perform much better with the image from the datasets. However, everything works fine for the i2i model and what is the place usually the ultimate upscale is applied!!
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- **--Please also notice this is a realistic training set, so no comic, animation application are promised.**
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- --For tile upscale, set the denoise around 0.3-0.4 to get good result.
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- --For controlnet strengh, set to 0.9 will be better choice
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- --For human image fix, IPA and early stop on controlnet will provide better reslut
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- **--Pickup a good realistic base model is important!**
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## Bias, Risks, and Limitations
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- **No commercial USE!!!! Do not use it for adult content**
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### Recommendations
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